Enterprise product supply and demand order contract full life cycle management system

Abstract

The invention discloses a full life cycle management system for an enterprise product supply and demand order contract, relates to the technical field of enterprise supply and demand contract management, and is used for solving the problem of low efficiency of supply and demand performance collaboration. Through multi-source business event collection and unified coding time reference, records dispersed in a business system are integrated into an event stream sorted according to time, a supply and demand event chain and a life cycle unit corresponding to a contract are automatically identified, the performance state is visible and the abnormity is traceable, and the efficiency is improved. The performance terms and the settlement terms are analyzed into computable constraints, cooperative control of a performance task network and resources is driven, resource demand intervals are generated according to uncompleted tasks and constraints, key resource states are compared to identify resource conflicts, and processing control items such as production, delivery, purchase or term adjustment are generated, so that stockout and delay risks are reduced; and the performance stability and the resource utilization efficiency of the enterprise are improved.

Description

Technical Field

[0001] This invention relates to the field of enterprise supply and demand contract management technology, and more specifically, to an enterprise product supply and demand order contract full life cycle management system. Background Technology

[0002] In the field of enterprise resource planning and supply chain collaborative management, product supply and demand collaboration models based on order management systems, contract management systems, and procurement and production planning systems have been widely applied. These systems typically revolve around the registration, approval, and transfer of sales or purchase orders. They exchange data with enterprise resource planning systems, customer relationship management systems, warehousing and logistics systems, and financial settlement systems through interfaces to support business processing in areas such as quoting, order placement, production, shipping, and settlement. Existing technical solutions mostly focus on automating processes within a single system and visualizing node status, supporting operational decisions through pre-defined processes and report statistics. Their technical implementation mainly concentrates on business form-driven process control and centralized storage of ledger data.

[0003] However, existing technologies have significant shortcomings in supply and demand collaborative management across the entire contract lifecycle: order records, contract terms, execution events, and resource occupancy status are scattered across multiple business systems, lacking a unified lifecycle identifier based on contracts and supply and demand relationships. Systems struggle to connect cross-system business records into a complete supply and demand event chain. Inconsistent time bases and coding rules across systems make it difficult to stably match the same business object across different systems. Performance status often relies on manual reconciliation and offline aggregation. In the event of delayed delivery, abnormal shipments, or settlement disputes, it is difficult to promptly pinpoint the responsible party and trigger agreed-upon clauses. Furthermore, delivery and settlement constraints in contracts are mostly stored statically in natural language, unable to be transformed into a computable set of constraints to participate in task control and resource coordination. Production capacity, inventory, procurement, and logistics planning are disconnected from contract performance requirements, making proactive adjustments impossible before conflicts occur. This increases the risks of stockouts, backlogs, and defaults, reducing the stability of enterprise performance and resource utilization efficiency in complex supply and demand environments. Summary of the Invention

[0004] In order to overcome the above-mentioned defects of the prior art, the following solution is proposed to solve the problem of inefficient supply and demand fulfillment coordination in the aforementioned background technology.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A management system for the entire lifecycle of enterprise product supply and demand order contracts includes a multi-source business event acquisition module, a lifecycle modeling module, a clause constraint generation module, a performance workflow control module, and a resource collaboration control module, with signal connections between the modules;

[0007] The multi-source business event acquisition module is used to collect data related to product supply and demand orders and contracts from relevant business systems, and organize them into an event stream sorted by time according to a unified time base and coding rules;

[0008] The lifecycle modeling module is used to identify supply and demand event chains from event streams, generate lifecycle identifiers, establish lifecycle units that record the state of execution phases, and bind events to lifecycle identifiers;

[0009] The clause constraint generation module is used to parse contract data, converting performance clauses and settlement clauses into constraint entries containing constraint type, object scope, parameters and triggering conditions, forming a constraint set corresponding to the lifecycle identifier;

[0010] The performance workflow control module is used to build a performance task network based on constraint sets and preset process templates, map transactions and performance links to task nodes, and drive task node state migration and lifecycle state updates according to event flow.

[0011] The resource coordination control module is used to map incomplete task nodes and their corresponding constraints to resource demand ranges by using lifecycle identifiers as indexes. It compares the current resource status and generates processing control items such as production sequence adjustment, shipping arrangement adjustment, replenishment procurement trigger, or clause adjustment trigger when the constraints are not met.

[0012] Furthermore, the multi-source business event acquisition module collects data associated with product supply and demand orders and contracts, and organizes it into time-sorted event streams based on a unified time base and coding rules, including:

[0013] By using interface adapters, record data can be accessed from enterprise resource planning systems, customer relationship management systems, supply chain management systems, warehousing and logistics systems, financial settlement systems, and contract management systems, and data format conversion and field alignment can be completed.

[0014] Based on unified coding rules, unified coding or mapping relationships are implemented for customer codes, supplier codes, product codes, contract numbers, and order numbers to eliminate coding conflicts between different systems;

[0015] A unified time base is used to correct the timestamps recorded by each system, thus correcting the time inconsistency caused by system clock deviations;

[0016] The access records are deduplicated and merged according to their encoding and timestamp, and duplicate and invalid records are removed.

[0017] After completing encoding standardization, time alignment, and deduplication, the records are rearranged in chronological order to generate an event stream output that is sorted by time.

[0018] Furthermore, the lifecycle modeling module identifies supply and demand event chains from the event flow, generates lifecycle identifiers, and establishes lifecycle units, including:

[0019] Based on the contract number, order number, customer identifier, and product identifier in the event, the event streams sorted by time are grouped to form a candidate set of events based on contractual relationships and supply and demand relationships;

[0020] Within each event candidate set, a directed event chain structure is constructed according to the event type and time sequence, connecting events such as order placement, planning, procurement, production, shipment, acceptance, and settlement into a supply and demand event chain;

[0021] Assign a unique lifecycle identifier to each supply and demand event chain, and associate the lifecycle identifier with the corresponding contract information, product information, and quantity range;

[0022] Establish a lifecycle unit for each lifecycle identifier, initialize the execution phase state fields and allowed state transition relationships, and use them to record phase changes under event-driven conditions;

[0023] Write various events in the event stream into their corresponding lifecycle units according to their supply and demand event chains, and bind them with lifecycle identifiers to form an event set organized by lifecycle identifiers.

[0024] Furthermore, the clause constraint generation module parses the contract data, converting performance clauses and settlement clauses into constraint entries that include constraint type, object scope, parameters, and triggering conditions, including:

[0025] The contract text and additional clauses are segmented and marked, and classified and identified according to delivery, quantity, price, quality inspection and settlement clauses;

[0026] Based on the preset clause template, key fields such as delivery time, delivery location, quantity per batch, total quantity limit, price expression method, settlement cycle and liability for breach of contract are extracted for each type of clause to generate structured clause records;

[0027] The time range, quantity range, and amount range in the structured clause records are standardized in terms of format and converted in terms of unit conversion, so as to convert different expressions into a unified parameter expression form;

[0028] Perform completeness and consistency checks on structured clause records. When there are missing or conflicting fields, generate prompt messages and mark them as clauses requiring manual confirmation.

[0029] After completing classification and identification, key field extraction and normalization, the structured clause records are mapped into constraint entries containing constraint type, object scope, parameters and triggering conditions, and this is used as the output of the clause constraint generation module.

[0030] Furthermore, the clause constraint generation module forms a constraint set corresponding to the lifecycle identifier and performs version management, including:

[0031] Each constraint item generated for the same supply and demand order contract lifecycle identifier is grouped according to constraint type to form a constraint set under the lifecycle identifier, and the correspondence between constraint items and contract clause numbers is recorded.

[0032] Configure effective time and expiration time parameters for the constraint set, and map the contract signing effective time, contract end time or time agreed in the supplementary agreement to the applicable time interval of the constraint set;

[0033] When a supplementary agreement or contract change record is detected, the clause parsing process is re-executed for the relevant clauses to generate new constraint entries, which are then inserted into the corresponding constraint set as new versions, while retaining the historical versions of the original constraint entries.

[0034] Assign a version number and version status flag to each constraint entry and constraint set. When calling a constraint set, select the target version that is within the valid time interval as the constraint basis based on the lifecycle identifier and the current time.

[0035] Furthermore, the performance workflow control module constructs a performance task network based on constraint sets and preset process templates, including:

[0036] Load the preset performance process template corresponding to the lifecycle identifier of the supply and demand order contract, and determine the basic node types of transaction confirmation, planning, procurement execution, production execution, shipment execution, acceptance confirmation and settlement processing;

[0037] Based on the constraint type, object scope, and time parameters in the constraint set, delivery constraints, quantity constraints, and settlement constraints are mapped to the corresponding basic node types, generating performance task node instances with specific quantity parameters, time windows, and responsibility roles;

[0038] Based on the dependencies and constraints of the task nodes, sequential, parallel, and conditional branch relationships are established among the task node instances to form a task network topology that includes a set of nodes and a set of edges.

[0039] Configure a node identifier, node status field, and completion judgment condition for each task node in the task network, and configure a start node and an end node for the task network as a whole.

[0040] Furthermore, the fulfillment workflow control module drives task node state transitions and lifecycle state updates according to event flow, including:

[0041] Establish event matching rules for each task node in the fulfillment task network, and map order confirmation events, plan issuance events, purchase order events, production completion events, shipment record events, acceptance record events, and settlement record events to the corresponding task nodes;

[0042] When an event stream arrives, the corresponding fulfillment task network is searched in the bound lifecycle unit based on the contract number, order number, product identifier, and timestamp in the event, and the event is assigned to the target task node according to the event matching rules.

[0043] The current status and completion criteria of the target task node are checked. When the event content meets the completion criteria, the node status is updated from pending execution or in execution to completed. The pending execution status of subsequent task nodes is activated according to the task network topology.

[0044] When the status of a task node changes, the execution phase status in the lifecycle unit is updated to not started, in progress, partially completed, completed, or abnormal, based on the set of completed nodes and the overall progress of the task network. An exception flag is recorded when an event times out or a node is abnormally interrupted.

[0045] Furthermore, the resource coordination control module uses lifecycle identifiers as indexes to map incomplete task nodes and their corresponding constraints to resource requirement ranges, including:

[0046] Based on the unfinished task nodes recorded in the lifecycle unit, read the time window parameters, quantity parameters, and responsible object information of each task node to determine the start and end times of task execution.

[0047] Based on the type of task node, the resources required for task execution are divided into inventory resources, production capacity resources, procurement resources, logistics resources, and financial resources, and a corresponding resource identifier is assigned to each type of resource.

[0048] Based on the quantity parameters and time window, calculate the demand for various resources for each task node within the corresponding time period, and construct a resource demand record with resource identifier, time interval and demand quantity as elements;

[0049] Resource demand records are aggregated along the lifecycle identifier dimension to form a resource demand interval sequence covering the execution cycle. This resource demand interval sequence is used to represent the demand for various types of resources in different time intervals of supply and demand orders.

[0050] Furthermore, the resource coordination control module compares the resource demand range with the current resource status to identify resource conflicts that do not meet the constraints, including:

[0051] Obtain current resource status information from inventory management system, production planning system, procurement management system, logistics management system and financial system, and construct a resource status vector that includes available inventory, remaining capacity, committed purchases, logistics capacity in transit and available funds.

[0052] Align the resource demand interval sequence with the resource status vector in the time dimension, calculate the difference between the demand and the available quantity for each time interval, and identify resource conflict segments where the demand exceeds the available quantity or the demand is inconsistent with the constraint parameters.

[0053] Based on the task node type, lifecycle stage, and constraint item type involved in the resource conflict segment, resource conflicts are classified and marked, including insufficient inventory conflicts, insufficient capacity conflicts, procurement delivery date conflicts, logistics capacity conflicts, and capital occupation conflicts.

[0054] For each type of resource conflict, calculate the scope of impact and urgency indicators.

[0055] Furthermore, when a resource coordination control module detects a resource conflict, it generates processing control items for production sequence adjustments, shipping arrangement adjustments, replenishment procurement triggers, or terms adjustment triggers, including:

[0056] Based on the classification and urgency indicators of resource conflicts, select appropriate handling strategy templates, map inventory shortage conflicts to a handling method mainly triggered by replenishment procurement, map capacity shortage conflicts to a handling method mainly triggered by production sequence adjustment, prioritize the mapping of logistics capacity conflicts to shipping arrangement adjustment, and map conflicts that cannot be eliminated by resource adjustment to a clause adjustment trigger.

[0057] Based on the selected processing strategy template, the execution order, shipment batch, and procurement order time of the relevant task nodes are recalculated to form a processing plan record containing adjusted time and quantity parameters;

[0058] The processing plan is recorded and encapsulated as a processing control item. The processing control item is marked with the corresponding lifecycle identifier, affected task node, suggested action and effective conditions, and written to the pending task queue or control instruction queue.

[0059] After the performance workflow control module executes the processing control item, it writes the event corresponding to the adjustment result into the event stream, which is then used by the lifecycle modeling module and the resource collaboration control module to update the lifecycle unit status and resource requirement interval sequence.

[0060] The technical effects and advantages of this invention for a full lifecycle management system of enterprise product supply and demand order contracts are as follows:

[0061] This invention constructs an integrated system for multi-source business event collection, contract clause constraint parsing, performance task network and resource collaborative control, based on lifecycle identification. This system unifies order and contract records scattered across enterprise resource planning, customer relationship management, supply chain, warehousing and logistics and financial settlement into a time-ordered event stream. It automatically identifies the supply and demand event chain and execution stage status corresponding to each contract, reducing information fragmentation and omissions caused by manual reconciliation and table splicing.

[0062] Building upon this foundation, performance and settlement terms are transformed into a computable set of constraints, driving the migration of performance task node states and lifecycle state updates. This enables process visibility and anomaly traceability between orders, production, shipment, and settlement. Furthermore, the system generates resource demand ranges based on incomplete task nodes and constraints, compares inventory, production capacity, procurement, logistics, and financial status, identifies resource conflicts in advance, and generates processing control items for production sequence adjustments, shipment arrangement adjustments, replenishment procurement triggers, or clause adjustment triggers. This allows enterprises to dynamically coordinate resources without violating contractual agreements, reducing the risk of stockouts and delays, and improving the stability of supply and demand performance and resource utilization efficiency. Attached Figure Description

[0063] Figure 1 This is a schematic diagram of the structure of a product supply and demand order contract full life cycle management system for enterprises according to the present invention. Detailed Implementation

[0064] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0065] In order to achieve the above objectives, Figure 1 A schematic diagram of the structure of an enterprise product supply and demand order contract full life cycle management system is given, which specifically includes a multi-source business event acquisition module, a life cycle modeling module, a clause constraint generation module, a performance workflow control module, and a resource collaboration control module, with signal connections between each module;

[0066] The multi-source business event acquisition module is used to collect data related to product supply and demand orders and contracts from relevant business systems, and organize them into an event stream sorted by time according to a unified time base and coding rules;

[0067] The lifecycle modeling module is used to identify supply and demand event chains from event streams, generate lifecycle identifiers, establish lifecycle units that record the state of execution phases, and bind events to lifecycle identifiers;

[0068] The clause constraint generation module is used to parse contract data, converting performance clauses and settlement clauses into constraint entries containing constraint type, object scope, parameters and triggering conditions, forming a constraint set corresponding to the lifecycle identifier;

[0069] The performance workflow control module is used to build a performance task network based on constraint sets and preset process templates, map transactions and performance links to task nodes, and drive task node state migration and lifecycle state updates according to event flow.

[0070] The resource coordination control module is used to map incomplete task nodes and their corresponding constraints to resource demand ranges by using lifecycle identifiers as indexes. It compares the current resource status and generates processing control items such as production sequence adjustment, shipping arrangement adjustment, replenishment procurement trigger, or clause adjustment trigger when the constraints are not met.

[0071] The enterprise product supply and demand order contract lifecycle management system can be deployed on a server cluster or cloud computing platform, and interact with enterprise resource planning system, customer relationship management system, supply chain management system, warehousing and logistics system, financial settlement system and contract management system through the network.

[0072] The multi-source business event acquisition module specifically includes:

[0073] The multi-source business event acquisition module is deployed in the access layer of the enterprise product supply and demand order contract lifecycle management system. It runs in the form of a process or microservice and establishes network communication connections with the enterprise resource planning system, customer relationship management system, supply chain management system, warehousing and logistics system, financial settlement system and contract management system through interface adapters.

[0074] Each interface adapter is configured with connection parameters and field mapping rules for a specific business system. It periodically pulls or receives pushed record data from the corresponding business system. The record data includes at least the following fields: contract number, order number, customer code, supplier code, product code, quantity, amount, business occurrence timestamp, and business type flag, or other business attribute fields configured according to business needs.

[0075] The multi-source business event acquisition module first converts the record data returned by different business systems into an internal intermediate format according to the preset data format conversion rules. The field names, data types and lengths are fixed in the internal intermediate format so that subsequent processing steps no longer depend on the specific implementation differences of each business system.

[0076] The multi-source business event acquisition module has a built-in encoding mapping management component to implement unified encoding rules:

[0077] During the system initialization phase, the code mapping management component synchronizes the currently used customer codes, supplier codes, product codes, contract numbers, and order numbers from the master data management system or various business systems to generate a code mapping relationship table. The code mapping relationship table sets original code fields and unified code fields for each code type. For example, it sets original customer code and unified customer code for customer codes, and original product code and unified product code for product codes.

[0078] When processing recorded data, the multi-source business event acquisition module reads the original encoded values ​​in the recorded data and replaces the original encoded values ​​with unified encoded values ​​by looking up the encoding mapping relationship table.

[0079] If the same business object uses different codes in different systems, the same unified code value will be configured for the business object in the code mapping table to eliminate code conflicts between different systems. When an unregistered original code is found in the recorded data, the multi-source business event acquisition module will record the original code, trigger the update process of the code mapping table, and complete the data of the record after obtaining the new unified code.

[0080] Regarding the time reference, the multi-source business event acquisition module sets a unified time reference, which is defined as the standard time provided by the time server. The time server can be an internal enterprise time server or an external time source.

[0081] When the multi-source business event acquisition module accesses and records data, it reads the timestamps generated by each business system in the recorded data, compares the timestamps with a unified time benchmark, and calculates the time deviation between the time of each business system and the unified time benchmark.

[0082] Time deviation is defined as the time of the business system minus the unified time reference time. A positive time deviation indicates that the business system time is ahead, and a negative time deviation indicates that the business system time is behind. The multi-source business event acquisition module corrects the timestamps of the recorded data according to the time deviation, adding or subtracting the corresponding time deviation to the timestamp of each recorded data, so that the timestamps of all recorded data are mapped to the time axis under the unified time reference. In this way, the time inconsistency problem caused by the asynchronous or drifting of the business system clock can be corrected, ensuring that the order of each business event can truly reflect the order of business occurrence when sorted by time.

[0083] After completing data format conversion, encoding standardization, and timestamp correction, the multi-source business event acquisition module deduplicates and merges the accessed record data according to the unified encoding field and timestamp. The deduplication rule can be defined as:

[0084] When two records share the same unified contract number, unified order number, unified customer code, unified product code, and the same corrected timestamp, and their business type tags are identical, one record is retained as a valid record, while the other is identified as a duplicate and discarded. For records with missing fields, the multi-source business event acquisition module can match them with other records based on the unified code fields and timestamps. When a record is identified as belonging to the same business event, the valid fields from multiple records are merged into a single complete record. Records that cannot be completed with key fields or that clearly do not conform to business logic are marked as invalid records and excluded from the event sequence. After deduplication and merging, the multi-source business event acquisition module rearranges the remaining record data in chronological order based on the corrected timestamps, generating a time-sorted event sequence.

[0085] Each record in the event sequence is a business event unit, containing a unified encoding field, a timestamp, a business type marker, and a business attribute field. The multi-source business event acquisition module outputs this event sequence as an event stream to the lifecycle modeling module.

[0086] The lifecycle modeling module specifically includes:

[0087] Using an event stream as the sole input, the system filters, groups, and constructs links for each event within the stream to generate supply and demand event chains and lifecycle units suitable for end-to-end management. Each event in the event stream must contain at least the following fields: contract number, order number, customer identifier, product identifier, business type marker, and timestamp.

[0088] The lifecycle modeling module first reads the event stream sorted by time. Based on four identifier fields—contract number, order number, customer identifier, and product identifier—events belonging to the same contractual relationship and the same supply-demand relationship are grouped into the same event candidate set. The meaning of the event candidate set is:

[0089] Given a combination of contract number, order number, customer identifier, and product identifier, a subset of all events that may belong to the same supply and demand fulfillment process on the timeline are used to subsequently construct a single supply and demand event chain. For events that cannot be matched with a contract number but have a clear combination of order number, customer identifier, and product identifier, the association between orders and contracts can be found to categorize the events into the corresponding contract's event candidate set; for events whose attribution still cannot be determined, they are marked as events awaiting manual processing and will not participate in subsequent automatic modeling.

[0090] After dividing the event candidate set, the lifecycle modeling module constructs a directed event chain structure within each event candidate set according to event type and chronological order. Specifically:

[0091] First, all events in the candidate event set are sorted from earliest to latest by timestamp. Then, the events are divided into order placement events, planning events, procurement events, production events, shipping events, acceptance events, settlement events, and other event categories defined by the business requirements based on the business type label.

[0092] The lifecycle modeling module pre-configures a set of event sequence rules to define which event types can serve as starting nodes, which event types must appear in intermediate stages, and which event types can only serve as ending nodes. For example, an order placement event or contract confirmation event serves as the starting node of the supply and demand event chain, while a settlement event or final payment confirmation event serves as the ending node. Intermediate stages are established with directed connections in the order of planning, procurement, production, shipment, and acceptance. For cases with recurring event types, such as multiple shipments or multiple acceptances, the lifecycle modeling module sequentially links similar events onto the directed sub-chains of the corresponding stages in chronological order.

[0093] For events that are missing in time, such as missing planned events or missing acceptance events, the lifecycle modeling module retains the logical position of that link in the chain and marks that link as not having occurred in the lifecycle unit. Through the above sorting and linking operations, a directed event chain structure from the start event to the end event is formed. This directed event chain structure is the supply and demand event chain, used to completely describe the execution trajectory of a supply and demand order contract in the time dimension.

[0094] After the supply and demand event chain is constructed, the lifecycle modeling module assigns a unique lifecycle identifier to each chain. This identifier can be generated using internal system rules, such as a combination of system number, contract number, and sequence number, ensuring that no duplicate lifecycle identifiers exist within the system. Simultaneously, the lifecycle modeling module extracts corresponding contract information, product information, and quantity ranges from the event candidate set, and associates this information with the lifecycle identifier to form the basic description of that supply and demand event chain.

[0095] Then, the lifecycle modeling module creates lifecycle units using the lifecycle identifier as the key. A lifecycle unit is a data structure used to carry the entire lifecycle status and event records of the supply and demand event chain. It contains at least the following record items: execution stage status field, allowed state transition relationships, lifecycle identifier, contract information, product information, and quantity range.

[0096] The execution phase status field is used to represent the current stage of the supply and demand event chain. The stage can be defined as discrete state values ​​such as not started, in execution, partially completed, completed, and abnormal state. The allowed state transition relationship is used to specify which state the execution phase status field can change from to another state. For example, it can change from not started to in execution, from in execution to partially completed or completed, and from any state to abnormal state when an anomaly occurs.

[0097] After a lifecycle unit is created and initialized, the lifecycle modeling module writes various events in the event stream into the corresponding lifecycle unit according to their respective supply and demand event chains, and binds them with lifecycle identifiers. Specifically, for each event, the module locates its event candidate set based on the contract number, order number, customer identifier, and product identifier. Then, based on the correspondence between the event candidate set and the supply and demand event chain, it determines the lifecycle identifier to which the event belongs and appends the event as a record to the lifecycle unit corresponding to that lifecycle identifier.

[0098] Within a lifecycle unit, an event list can be maintained in chronological order. Each event record includes the event type, timestamp, and related business attribute fields. While writing event records, the lifecycle modeling module updates the execution phase status field based on the completed nodes in the supply and demand event chain. For example, when the initial node "order placement" event has been written but subsequent events have not yet occurred, the execution phase status field is updated from "not started" to "in execution."

[0099] When a settlement event is written and all necessary intermediate events have occurred, the execution phase status field is updated to "completed." When an abnormal event sequence or a critical stage that has been incomplete for an extended period is detected, the execution phase status field is updated to "abnormal." Ultimately, the system forms a set of events organized by lifecycle identifiers, with each lifecycle unit corresponding to a complete event trajectory for a supply and demand order contract.

[0100] The clause constraint generation module takes contract data bound to lifecycle identifiers as input and converts the contract text and additional clauses into a structured constraint set that is easy to calculate and control.

[0101] It should be noted that the customer identifier can be understood as a unified customer code after being processed by the code mapping management component, which is used to uniquely identify the customer entity within the system.

[0102] The clause constraint generation module specifically includes:

[0103] Contract data includes at least the contract text, supplementary clause text, contract clause number, contract signing and effective date, contract end date, and lifecycle identifier associated with the contract. The clause constraint generation module first segments and marks the contract text and supplementary clauses, matching each written clause with a unique contract clause number, and classifies the clauses into delivery clauses, quantity clauses, price clauses, quality inspection clauses, and settlement clauses according to preset classification rules.

[0104] For each categorized clause, the module calls the clause template library and extracts key fields such as delivery time, delivery location, quantity per batch, total quantity limit, price expression method, settlement cycle, and liability for breach of contract according to the field definition of the corresponding category, and generates a structured clause record.

[0105] In the structured terms record, the time range field describes the start and end limits of the delivery time or settlement period, the quantity range field describes the range of single batch quantity and total quantity limits, and the amount range field describes the price expression method and possible upper and lower price limits. All fields are stored in a uniform time unit, quantity unit, and amount unit. During the extraction process, the module converts the different expressions in the original terms into a uniform internal expression through unit conversion and format standardization. For example, when the terms state "delivery within seven working days", the time range field in the structured terms record can be written as "delivery to be completed within seven consecutive working days from the date of the triggering event".

[0106] After generating the structured terms record, the terms constraint generation module performs integrity and consistency checks on each record. The integrity check is used to check whether all the key fields required by the category to which the terms belong are present. For example, delivery terms must include at least the delivery time and delivery location, quantity terms must include at least the quantity of a single batch or the maximum total quantity, and settlement terms must include at least the settlement period and the party responsible for payment. If a missing field is found, the module generates a prompt message, marks the terms as terms to be manually confirmed, and explains the name of the missing field and its location in the template in the prompt message.

[0107] Consistency checks are used to verify whether the time range and quantity range fields within the same clause conflict with the overall contract stipulations. For example, the total quantity limit may be less than the sum of multiple batches, or there may be a significant discrepancy between the settlement period and the delivery period. When a conflict is found, the clause constraint generation module records a conflict flag in the structured clause record and also marks the clause as requiring manual confirmation. Business personnel will then correct or confirm this in subsequent operations. After integrity and consistency checks, structured clause records that can be directly used for system execution control are marked as executable records. Records that do not meet the conditions are listed separately in a manual processing list, but the original text and extracted fields are still retained to ensure that no information is lost.

[0108] After obtaining executable structured clause records, the clause constraint generation module maps these records into constraint entries. Each constraint entry contains four core parts: constraint type, object scope, parameters, and triggering conditions. The constraint type is directly derived from the clause category, such as delivery constraints, quantity constraints, price constraints, quality inspection constraints, and settlement constraints. The object scope describes the product identifier, customer identifier, or specific batch stipulated in the contract to which the constraint applies. The parameters carry specific numerical information such as time range fields, quantity range fields, and amount range fields in the structured clause records. The triggering conditions describe under what business events or time nodes the constraint needs to be checked or executed.

[0109] Triggering conditions are achieved by combining business event types with time conditions. For example, the triggering condition for a certain delivery constraint item can be defined as triggering a delivery default check when a shipping record event occurs in the lifecycle unit and the event timestamp is outside the agreed delivery time range.

[0110] The clause constraint generation module associates each constraint item with its source contract clause number, forming a traceability path from the constraint item to the original contract clause. For all constraint items belonging to the same supply and demand order contract lifecycle identifier, the module groups them according to constraint type, forming a constraint set under that lifecycle identifier. The constraint set records the lifecycle identifier, the set of contract clause numbers, and a list of constraint items for each type. For example, in an annual supply contract, a constraint set containing several delivery-related constraints and several settlement-related constraints can be formed, with each constraint item clearly defining its scope as a specific product and a specific time period.

[0111] The clause constraint generation module performs version management for each constraint set to accommodate contract supplementary agreements and contract change records. That is, when the initial contract is signed, the module creates the first constraint set version for the lifecycle identifier corresponding to the contract, sets the effective time of this version to the contract signing effective time, and the expiration time to the contract end time or the termination time agreed in the contract.

[0112] During system operation, when a supplementary agreement or contract change record for a specific contract is detected, the clause constraint generation module re-executes the clause parsing process based on the scope of the clauses involved in the change. It generates new structured clause records and new constraint entries for the affected clauses. For clauses that have not been changed, the module can use the original constraint entries. For changed clauses, the module inserts the new constraint entries into the new constraint set version, while retaining the historical version of the corresponding constraint entries in the original constraint set version and assigning different version numbers to the old and new versions respectively.

[0113] Version numbers can be defined as incrementing integers or combinations with timestamps. Version status flags indicate whether the current version is a valid version or a historical version. For example, the status can be set to either currently valid or historically invalid. When the clause constraint generation module is called by other modules, it selects the version with an effective time earlier than or equal to the current time and an expiration time later than the current time from all constraint set versions corresponding to the lifecycle identifier based on the input lifecycle identifier and the current time. It then returns the constraint set marked as currently valid as the constraint basis, so that the system can use the constraint set consistent with the legal status of the contract at any time. This preserves all historical versions for audit traceability and ensures that the constraint items used by the performance workflow control module and the resource collaboration control module when making judgments are consistent with the actual contract agreement.

[0114] The performance workflow control module takes the life cycle identifiers and life cycle units output by the life cycle modeling module as objects, and the constraint set output by the clause constraint generation module and the preset performance process template as inputs to generate and maintain a performance task network for each supply and demand order contract.

[0115] The fulfillment workflow control module specifically includes:

[0116] The pre-set performance process template is jointly set by business and technical personnel during the system configuration phase. The template defines basic node types such as transaction confirmation, planning, procurement execution, production execution, shipment execution, acceptance confirmation, and settlement processing, as well as the general order of these basic node types and their parallel or conditional execution relationships.

[0117] After receiving the constraint set corresponding to a certain lifecycle identifier, the performance workflow control module first selects the performance process template corresponding to the lifecycle identifier based on the contract type, customer category, or business scenario, and instantiates each basic node type in the template.

[0118] During instantiation, the module reads constraint entries from the constraint set that match the node type, including delivery constraints, quantity constraints, and settlement constraints. It then writes the quantity parameters, time range parameters, and responsibility role information from these constraint entries into the performance task node instance, ensuring that each performance task node instance has clearly defined quantity parameters, time windows, and responsibility roles. For example, when the constraint set includes delivery constraints that require the first delivery to be completed within ten days of the contract taking effect and that the delivery quantity is a certain percentage of the total quantity, the module generates at least two performance task node instances under the shipment execution node type, corresponding to the first delivery and subsequent deliveries respectively. The time window for the first delivery node is set to ten days after the contract takes effect, the quantity parameter is set to the total quantity multiplied by this percentage, and the responsibility role is set to the corresponding logistics department or external contractor.

[0119] After generating a fulfillment task node instance with specific parameters, the fulfillment workflow control module needs to construct the fulfillment task network topology. Based on the basic sequence relationship in the preset fulfillment process template, the module connects the output of the transaction confirmation node to the planning node, and the output of the planning node to the procurement execution node and the production execution node. If there are constraints in the constraint set that require the procurement of external materials, a parallel relationship can be set between the procurement execution node and the production execution node. In the shipment execution and acceptance confirmation stages, if the constraint set stipulates that shipments or acceptances are done in batches, a separate shipment execution node and acceptance confirmation node are established for each batch in the task network, and a sequence relationship is set between batches or partial parallel execution is allowed.

[0120] Based on the dependencies and triggering conditions in the constraints of each task node instance, the module establishes sequential, parallel, and conditional branching edges between task node instances, forming a task network topology containing a set of nodes and a set of edges. During the construction process, the module assigns a unique node identifier to each task node and establishes a node status field and completion judgment conditions within the node. The node status field typically includes status values ​​such as pending execution, in execution, completed, and exception, used to represent the current execution status of the node within its lifecycle.

[0121] The completion criteria are described based on event content, quantity completion percentage, time window fulfillment, and parameters in the constraint entries. For example, it can be defined that when a shipment record event appears in the event stream, and the shipment quantity in the event record is greater than or equal to the node quantity parameter, and the event timestamp is within the node's time window, the node's completion criteria are met. At the overall level of the fulfillment task network, the module also explicitly marks the start and end nodes. The start node is usually the order confirmation or contract confirmation node, and the end node is usually the settlement processing node, used to determine whether the entire lifecycle unit has entered the completed stage.

[0122] After the fulfillment task network is constructed, the fulfillment workflow control module connects to the event stream output by the multi-source business event acquisition module, and uses an event-driven approach to control the state transition of task nodes and the state update of lifecycle units. The module pre-configures event matching rules for each task node in the fulfillment task network. These rules describe the correspondence between a specific event type and the corresponding node; for example, order confirmation events are matched to transaction confirmation nodes, plan issuance events to plan preparation nodes, purchase order events to purchase execution nodes, production completion events to production execution nodes, shipment record events to shipment execution nodes, acceptance record events to acceptance confirmation nodes, and settlement record events to settlement processing nodes.

[0123] Each event in the event stream contains fields such as contract number, order number, product identifier, and timestamp. When an event arrives, the fulfillment workflow control module first searches for the corresponding lifecycle identifier in the lifecycle unit maintained by the lifecycle modeling module based on the contract number, order number, and product identifier. Then, it reads the pre-built fulfillment task network from that lifecycle unit and assigns the event to the target task node in the fulfillment task network according to the event matching rules. During the assignment process, if an event simultaneously meets the event matching rules of multiple nodes, the module will prioritize assigning the event to nodes that are in a pending or executing state and within the time window, based on the execution order of the nodes in the task network and the current node status, to avoid the same event being incorrectly identified as a completion event of multiple nodes.

[0124] After an event is assigned to a target task node, the fulfillment workflow control module checks the current status and completion criteria of the target task node. When the node status is pending or in progress, and the combination of the event content with the node quantity parameter and time window parameter meets the completion criteria, the module updates the node status field from pending or in progress to completed, and records the event in the fulfillment task network as the node's completion event record.

[0125] After a node's state changes, the module checks whether the prerequisites for subsequent nodes are met based on the task network topology. If all prerequisite nodes are already in the completed state, the node state field of the subsequent node is updated from inactive or pending execution to pending execution, thus enabling the subsequent node to receive events and make completion determinations.

[0126] When a critical node does not receive an event that meets the completion criteria within the time window specified in the constraint set, or when it receives an event and finds that the event timestamp exceeds the time window, the number of events is insufficient, or the event content conflicts with the constraint entry, the performance workflow control module will update the node's status field to an anomaly and record an anomaly marker in the lifecycle unit. The anomaly marker may include the anomaly type, the time of occurrence, and the associated constraint entry number.

[0127] Each time the status of a task node changes, the execution phase status in the lifecycle unit is updated to not started, in progress, partially completed, completed, or abnormal, based on the set of completed and incomplete nodes in the current task fulfillment network. For example, when only the starting node is completed, the phase status is updated to in progress; when all necessary nodes are completed, the phase status is updated to completed; and when at least one critical node is in an abnormal state, the phase status is updated to abnormal.

[0128] The resource coordination control module specifically includes:

[0129] The resource collaboration control module is located after the performance workflow control module. Using the lifecycle identifier as an index, it takes the unfinished performance task nodes in the lifecycle unit and the constraint set output by the clause constraint generation module as the main input. First, it reads all performance task nodes in the pending and executing states from the lifecycle unit. For each task node, it obtains the time window parameter, quantity parameter, and responsible object information. The time window parameter describes the time boundary that the task is allowed to start and must be completed. The quantity parameter describes the number of products or the amount of money that the task needs to process. The responsible object information indicates which department or external unit will execute the task.

[0130] Based on the type of task node, the resource coordination control module divides the resources required for task execution into five categories: inventory resources, production capacity resources, procurement resources, logistics resources, and financial resources. It assigns a corresponding resource identifier to each category of resources. For example, inventory resources correspond to specific warehouses and material numbers, production capacity resources correspond to production lines or workstation numbers, procurement resources correspond to suppliers and material combinations, logistics resources correspond to transportation vehicles or routes, and financial resources correspond to settlement accounts or budget items.

[0131] Based on this, the module calculates the demand for various resources for each task node within its time window according to the number of task nodes and the time window parameter, forming a resource demand record with resource identifier, time interval and demand quantity as elements.

[0132] For multiple task nodes under the same lifecycle identifier, the resource coordination control module aggregates resource demand records in the lifecycle dimension, merges records that are adjacent or overlapping in time and have the same resource identifier, describes resource occupancy using continuous time periods and corresponding demand quantities, and finally forms a resource demand interval sequence covering the entire execution cycle.

[0133] The resource demand interval sequence is organized according to resource identifiers and time order, and is used to represent the demand for inventory resources, production capacity resources, procurement resources, logistics resources and capital resources of the supply and demand order contract in different time intervals.

[0134] After constructing the resource demand interval sequence, the resource coordination control module needs to obtain the current resource status of the enterprise to determine whether the resource supply is sufficient to meet resource demand in a future time interval. To this end, the module reads resource status information from the inventory management system, production planning system, procurement management system, logistics management system, and financial system through preset interfaces, forming a resource status vector that includes available inventory, remaining production capacity, committed purchase quantity and delivery time, in-transit logistics capacity, and available funds.

[0135] Each item in the resource status vector carries a resource identifier and a time attribute, which describes the available quantity or available capacity of the resource within a certain time interval. The resource coordination control module aligns the resource demand interval sequence with the resource status vector in the time dimension. For each combination of resource identifier and time interval, it calculates the difference between the resource demand and the resource availability. The difference is calculated by subtracting the resource availability from the resource demand, which is used to determine whether the demand exceeds the available resources.

[0136] When the difference is positive and exceeds the preset tolerance, it indicates a risk of resource shortage within that time interval; when the difference is negative and the absolute value is too large, it can be determined that there is resource waste or unreasonable resource locking. The resource coordination control module, based on the requirements for time and quantity ranges in the constraint set, identifies resource conflict segments where resource demand and constraint parameters are inconsistent, and classifies resource conflicts according to the type of task node, lifecycle stage, and constraint item type involved in the conflict, such as insufficient inventory conflicts, insufficient capacity conflicts, procurement delivery date conflicts, logistics capacity conflicts, and capital occupation conflicts.

[0137] The resource coordination control module also calculates impact range indicators and urgency indicators for each type of resource conflict. The impact range indicator can be described by statistically analyzing the number of task nodes affected by the resource conflict, the types of products involved, and the number of corresponding customers. The urgency indicator can be described by a combination of the time length between the resource conflict segment and the end of the time window and the duration of the conflict. The shorter the time distance and the longer the conflict lasts, the higher the urgency.

[0138] After identifying resource conflicts, the resource coordination control module generates processing control items based on the classification tags and urgency indicators of the resource conflicts, according to the preset processing strategy templates, such as production sequence adjustment, shipping arrangement adjustment, replenishment procurement trigger, or clause adjustment trigger.

[0139] The handling strategy templates are defined by business personnel during the system configuration phase, with one or more optional handling strategies corresponding to each type of resource conflict. For example, for inventory shortage conflicts, the handling strategy template can specify prioritizing replenishment procurement to increase inventory. If replenishment procurement cannot be completed within the time window, then adjusting the production sequence or splitting shipment batches can be considered. For capacity shortage conflicts, the handling strategy template can specify adjusting the execution order of task nodes within the same production line, advancing task nodes with tighter delivery times and postponing task nodes with wider delivery times. For logistics capacity conflicts, the handling strategy template can specify re-splitting shipment batches while maintaining the total shipment quantity, adjusting the shipment time and transportation resource allocation for each batch. For conflicts that cannot be eliminated through resource adjustments, such as when the contract requires delivery to be completed on a fixed date but production capacity and procurement delivery dates cannot meet the requirements, the handling strategy template can specify generating a clause adjustment trigger control item to prompt contract management personnel to initiate the clause change or supplementary agreement process.

[0140] When selecting a processing strategy, the resource coordination control module will comprehensively consider the conflict type and urgency index. When the urgency is high and the resource conflict type corresponds to the applicable conditions of a certain strategy, the strategy that can alleviate the conflict in the shortest time will be given priority. When the urgency is low, the strategy that is more beneficial to the overall resource utilization efficiency can be selected.

[0141] After determining the specific handling strategy, the resource coordination control module recalculates the execution order, shipping batches, and procurement issuance time for task nodes involving resource conflicts based on the selected handling strategy template, and generates a handling plan record containing adjusted time and quantity parameters. For example, when production sequence adjustment is used as a handling strategy, the module reorders the originally sequential production tasks based on the delivery time window of the task nodes and customer priority, placing tasks with tighter delivery times or higher customer priority at the top; when shipping arrangement adjustment is used as a handling strategy, the module breaks down a large-volume shipping task into multiple smaller shipping batches, assigning a specific shipping time interval and corresponding logistics resource identifier to each shipping batch; when replenishment procurement is triggered as a handling strategy, the module generates new procurement requirement records for relevant materials in the procurement management system, specifying the target arrival time and suggested procurement quantity; when clause adjustment is triggered as a handling strategy, the module constructs a clause adjustment description containing the conflict cause, current resource capabilities, and suggested adjustment plan for contract management personnel to refer to.

[0142] The resource collaboration control module encapsulates the processing scheme records into processing control items. Each processing control item is marked with a corresponding lifecycle identifier, affected task nodes, suggested execution actions, and effective conditions. For example, a control item may contain an action description for a contract with a lifecycle identifier of a certain value, which advances the execution order of a certain node of a production task before a certain time.

[0143] Processing control items can be written to the pending task queue for relevant personnel to confirm and execute on the operation interface, or they can be written to the control instruction queue, whereby the system automatically calls the interface of the production planning system, inventory management system, or procurement management system to issue adjustment instructions.

[0144] When the performance workflow control module or external system executes the processing control item, the corresponding execution result will be written into the event stream in the form of a new business event. After receiving these events, the lifecycle modeling module and the resource coordination control module will update the lifecycle unit status and resource demand interval sequence respectively, so that the resource adjustment result enters a new calculation cycle, thereby forming a closed-loop process of resource analysis, conflict identification and adjustment control around the lifecycle identifier.

[0145] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0146] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0147] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0148] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0149] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A management system for the entire lifecycle of enterprise product supply and demand order contracts, characterized in that: It includes a multi-source business event acquisition module, a lifecycle modeling module, a clause constraint generation module, a performance workflow control module, and a resource collaboration control module, with signal connections between the modules; The multi-source business event acquisition module is used to collect data related to product supply and demand orders and contracts from relevant business systems, and organize them into an event stream sorted by time according to a unified time base and coding rules; The lifecycle modeling module is used to identify supply and demand event chains from event streams, generate lifecycle identifiers, establish lifecycle units that record the state of execution phases, and bind events to lifecycle identifiers; The clause constraint generation module is used to parse contract data, converting performance clauses and settlement clauses into constraint entries containing constraint type, object scope, parameters and triggering conditions, forming a constraint set corresponding to the lifecycle identifier; The performance workflow control module is used to build a performance task network based on constraint sets and preset process templates, map transactions and performance links to task nodes, and drive task node state migration and lifecycle state updates according to event flow. The resource coordination control module is used to map incomplete task nodes and their corresponding constraints to resource demand ranges by using lifecycle identifiers as indexes. It compares the current resource status and generates processing control items such as production sequence adjustment, shipping arrangement adjustment, replenishment procurement trigger, or clause adjustment trigger when the constraints are not met.

2. The enterprise product supply and demand order contract full lifecycle management system according to claim 1, characterized in that: The multi-source business event acquisition module collects data associated with product supply and demand orders and contracts, and organizes it into time-sorted event streams based on a unified time base and coding rules, including: By using interface adapters, record data can be accessed from enterprise resource planning systems, customer relationship management systems, supply chain management systems, warehousing and logistics systems, financial settlement systems, and contract management systems, and data format conversion and field alignment can be completed. Based on unified coding rules, unified coding or mapping relationships are implemented for customer codes, supplier codes, product codes, contract numbers, and order numbers to eliminate coding conflicts between different systems; A unified time base is used to correct the timestamps recorded by each system, thus correcting the time inconsistency caused by system clock deviations; The access records are deduplicated and merged according to their encoding and timestamp, and duplicate and invalid records are removed. After completing encoding standardization, time alignment, and deduplication, the records are rearranged in chronological order to generate an event stream output that is sorted by time.

3. The enterprise product supply and demand order contract full lifecycle management system according to claim 1, characterized in that: The lifecycle modeling module identifies supply and demand event chains from the event flow, generates lifecycle identifiers, and establishes lifecycle units, including: Based on the contract number, order number, customer identifier, and product identifier in the event, the event streams sorted by time are grouped to form a candidate set of events based on contractual relationships and supply and demand relationships; Within each event candidate set, a directed event chain structure is constructed according to the event type and time sequence, connecting events such as order placement, planning, procurement, production, shipment, acceptance, and settlement into a supply and demand event chain; Assign a unique lifecycle identifier to each supply and demand event chain, and associate the lifecycle identifier with the corresponding contract information, product information, and quantity range; Establish a lifecycle unit for each lifecycle identifier, initialize the execution phase state fields and allowed state transition relationships, and use them to record phase changes under event-driven conditions; Write various events in the event stream into their corresponding lifecycle units according to their supply and demand event chains, and bind them with lifecycle identifiers to form an event set organized by lifecycle identifiers.

4. The enterprise product supply and demand order contract full lifecycle management system according to claim 1, characterized in that: The clause constraint generation module parses the contract data, converting performance clauses and settlement clauses into constraint entries that include constraint type, object scope, parameters, and triggering conditions, including: The contract text and additional clauses are segmented and marked, and classified and identified according to delivery, quantity, price, quality inspection and settlement clauses; Based on the preset clause template, key fields such as delivery time, delivery location, quantity per batch, total quantity limit, price expression method, settlement cycle and liability for breach of contract are extracted for each type of clause to generate structured clause records; The time range, quantity range, and amount range in the structured clause records are standardized in terms of format and converted in terms of unit conversion, so as to convert different expressions into a unified parameter expression form; Perform completeness and consistency checks on structured clause records. When there are missing or conflicting fields, generate prompt messages and mark them as clauses requiring manual confirmation. After completing classification and identification, key field extraction and normalization, the structured clause records are mapped into constraint entries containing constraint type, object scope, parameters and triggering conditions, and this is used as the output of the clause constraint generation module.

5. A product supply and demand order contract lifecycle management system for enterprises according to claim 4, characterized in that: The clause constraint generation module generates a set of constraints corresponding to lifecycle identifiers and performs version management, including: Each constraint item generated for the same supply and demand order contract lifecycle identifier is grouped according to constraint type to form a constraint set under the lifecycle identifier, and the correspondence between constraint items and contract clause numbers is recorded. Configure effective time and expiration time parameters for the constraint set, and map the contract signing effective time, contract end time or time agreed in the supplementary agreement to the applicable time interval of the constraint set; When a supplementary agreement or contract change record is detected, the clause parsing process is re-executed for the relevant clauses to generate new constraint entries, which are then inserted into the corresponding constraint set as new versions, while retaining the historical versions of the original constraint entries. Assign a version number and version status flag to each constraint entry and constraint set. When calling a constraint set, select the target version that is within the valid time interval as the constraint basis based on the lifecycle identifier and the current time.

6. A product supply and demand order contract lifecycle management system for enterprises according to claim 1, characterized in that: The performance workflow control module constructs a performance task network based on constraint sets and preset process templates, including: Load the preset performance process template corresponding to the lifecycle identifier of the supply and demand order contract, and determine the basic node types of transaction confirmation, planning, procurement execution, production execution, shipment execution, acceptance confirmation and settlement processing; Based on the constraint type, object scope, and time parameters in the constraint set, delivery constraints, quantity constraints, and settlement constraints are mapped to the corresponding basic node types, generating performance task node instances with specific quantity parameters, time windows, and responsibility roles; Based on the dependencies and constraints of the task nodes, sequential, parallel, and conditional branch relationships are established among the task node instances to form a task network topology that includes a set of nodes and a set of edges. Configure a node identifier, node status field, and completion judgment condition for each task node in the task network, and configure a start node and an end node for the task network as a whole.

7. A product supply and demand order contract lifecycle management system for enterprises according to claim 6, characterized in that: The fulfillment workflow control module drives task node state transitions and lifecycle state updates according to event flow, including: Establish event matching rules for each task node in the fulfillment task network, and map order confirmation events, plan issuance events, purchase order events, production completion events, shipment record events, acceptance record events, and settlement record events to the corresponding task nodes; When an event stream arrives, the corresponding fulfillment task network is searched in the bound lifecycle unit based on the contract number, order number, product identifier, and timestamp in the event, and the event is assigned to the target task node according to the event matching rules. The current status and completion criteria of the target task node are checked. When the event content meets the completion criteria, the node status is updated from pending execution or in execution to completed. The pending execution status of subsequent task nodes is activated according to the task network topology. When the status of a task node changes, the execution phase status in the lifecycle unit is updated to not started, in progress, partially completed, completed, or abnormal, based on the set of completed nodes and the overall progress of the task network. An exception flag is recorded when an event times out or a node is abnormally interrupted.

8. A product supply and demand order contract lifecycle management system for enterprises according to claim 1, characterized in that: The resource coordination control module uses lifecycle identifiers as indexes to map incomplete task nodes and their corresponding constraints to resource requirement ranges, including: Based on the unfinished task nodes recorded in the lifecycle unit, read the time window parameters, quantity parameters, and responsible object information of each task node to determine the start and end times of task execution. Based on the type of task node, the resources required for task execution are divided into inventory resources, production capacity resources, procurement resources, logistics resources, and financial resources, and a corresponding resource identifier is assigned to each type of resource. Based on the quantity parameters and time window, calculate the demand for various resources for each task node within the corresponding time period, and construct a resource demand record with resource identifier, time interval and demand quantity as elements; Resource demand records are aggregated along the lifecycle identifier dimension to form a resource demand interval sequence covering the execution cycle. This resource demand interval sequence represents the demand for various resources by supply and demand order contracts in different time intervals.

9. A product supply and demand order contract lifecycle management system for enterprises according to claim 8, characterized in that: The resource coordination control module compares the resource demand range with the current resource status to identify resource conflicts that do not meet the constraints, including: Obtain current resource status information from inventory management system, production planning system, procurement management system, logistics management system and financial system, and construct a resource status vector that includes available inventory, remaining capacity, committed purchases, logistics capacity in transit and available funds. Align the resource demand interval sequence with the resource status vector in the time dimension, calculate the difference between the demand and the available quantity for each time interval, and identify resource conflict segments where the demand exceeds the available quantity or the demand is inconsistent with the constraint parameters. Based on the task node type, lifecycle stage, and constraint item type involved in the resource conflict segment, resource conflicts are classified and marked, including insufficient inventory conflicts, insufficient capacity conflicts, procurement delivery date conflicts, logistics capacity conflicts, and capital occupation conflicts. For each type of resource conflict, calculate the scope of impact and urgency indicators.

10. A product supply and demand order contract lifecycle management system for enterprises according to claim 9, characterized in that: When a resource coordination control module detects a resource conflict, it generates processing control items for production sequence adjustments, shipping arrangement adjustments, replenishment procurement triggers, or terms adjustment triggers, including: Based on the classification and urgency indicators of resource conflicts, select appropriate handling strategy templates, map inventory shortage conflicts to a handling method mainly triggered by replenishment procurement, map capacity shortage conflicts to a handling method mainly triggered by production sequence adjustment, prioritize the mapping of logistics capacity conflicts to shipping arrangement adjustment, and map conflicts that cannot be eliminated by resource adjustment to a clause adjustment trigger. Based on the selected processing strategy template, the execution order, shipment batch, and procurement order time of the relevant task nodes are recalculated to form a processing plan record containing adjusted time and quantity parameters; The processing plan is recorded and encapsulated as a processing control item. The processing control item is marked with the corresponding lifecycle identifier, affected task node, suggested action and effective conditions, and written to the pending task queue or control instruction queue. After the performance workflow control module executes the processing control item, it writes the event corresponding to the adjustment result into the event stream, which is then used by the lifecycle modeling module and the resource collaboration control module to update the lifecycle unit status and resource requirement interval sequence.

Images