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144 results about "Production schedule" patented technology
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The production schedule is a project plan of how the production budget will be spent over a given timescale, for every phase of a business project. The scheduling process starts with the script, which is analysed and broken down, scene by scene, onto a sequence of breakdown sheets, each of which records the resources required to execute the scene.
Digital production plan scheduling method and system
PendingCN120688794AGeometric CADInput/output to record carriersProduction scheduleData synchronization
The invention discloses a digital production plan scheduling method and system, and belongs to the technical field of optimal scheduling, and the method comprises the steps: constructing a distributed storage architecture based on edge computing nodes; a central coordinator is adopted to realize cross-node data synchronization through an improved Raft consensus algorithm, multi-version concurrency control is realized based on a vector clock, and a global consistent data view is established; a visual scheduling platform is built based on a Vue3 framework, and man-machine interaction is realized by adopting a Canvas and WebGL collaborative rendering framework; establishing a dynamic coordinate conversion model based on bilinear interpolation, designing a space mapping function containing distortion compensation, establishing a multi-thread coordinate service based on WebWorker, and realizing submillimeter-level bidirectional mapping of pixel coordinates and physical coordinates; constructing a three-dimensional space-time analysis model fused with the multi-dimensional features; and all the units are subjected to feature fusion through residual connection, and finally a scheduling scheme with a confidence coefficient weight is output. The method and the device have the effect of meeting various scheduling requirements.
Owner:SHANDONG PORT EQUIPMENT GROUP CO LTD
Production scheduling method, device and equipment based on digital twinning and medium
The invention discloses a production scheduling method and device based on digital twinning, equipment and a medium, and relates to the field of intelligent manufacturing, and the method comprises the steps: collecting production data, generating an initial production state, defining an initial production scheduling constraint condition, and constructing a digital twinning model; predicting the available capacity of the production resources through a digital twinborn model, identifying a risk period, and updating the twinborn state of the production resources; coupling the predicted production resource available capacity with the order set, generating a task priority queue and updating production scheduling constraint conditions; executing scheduling optimization and simulation detection conflicts in the digital twin model, if conflicts exist, executing local rearrangement based on conflict information until requirements are met, and generating an executable scheduling scheme; and issuing the executable scheduling scheme to a production and logistics link, monitoring execution deviation, rescheduling an affected task, completing a production task and updating the digital twin database. According to the invention, the real-time performance and accuracy of scheduling response are improved.
Owner:ANKANG TAIDAXUN INTELLIGENT TECH CO LTD
Tray cycle scheduling system and application method
According to the tray cycle scheduling system and the application method, historical data and a production plan are fused, an improved algorithm is adopted to predict tray requirements, and an attention mechanism is introduced to improve precision; the method comprises the following steps: acquiring multi-dimensional state information of a tray through a multi-modal sensor, eliminating noise by using a data fusion algorithm, and constructing a digital twin model to realize state synchronization; a double-layer optimization architecture is constructed, an upper layer solves a global scheme by combining an improved particle swarm and a simulated annealing algorithm, and a lower layer dynamically adjusts a path through reinforcement learning; an instruction is generated based on a digital twin model, an event triggering mechanism is adopted to reduce communication load, and virtual-real interaction closed-loop control is realized; a real-time evaluation index system is established, a meta-learning algorithm is utilized to quickly adapt to a new environment, and system parameters are continuously optimized. Multi-module collaborative innovation is achieved, the tray scheduling efficiency and the intelligent level are remarkably improved, production logistics whole-process collaborative optimization is achieved, and core support is provided for cost reduction and efficiency improvement of enterprises.
Owner:STATE GRID JIANGSU ELECTRIC POWER CO LTD +2
AI-based automatic production line scheduling system in industrial internet
The invention discloses an AI-based automatic production line scheduling system in an industrial internet, which relates to the technical field of production scheduling and comprises a production plan management module S1, a dynamic scheduling engine module S2, a resource scheduling module S3, a real-time monitoring system module S4, an exception handling center module S5 and a data optimization platform module S6. In the industrial internet, an AI-based automatic production line scheduling system, an X dynamic scheduling engine millisecond response and a multi-agent reinforcement learning engine based on a federated learning architecture realize millisecond response scheduling, each device is used as an autonomous decision-making unit, and dynamic coordination is performed through a distributed Q learning algorithm, so that the vacancy rate of the devices is greatly reduced, and the scheduling efficiency is improved. According to a long-short-term memory network deep analysis model of order delivery cycle compression, emergency order insertion response speed improvement, multi-modal AI quality monitoring, fusion of vibration, thermal imaging and current spectrum, the detection rate is greatly improved compared with a unified sensor, causal reasoning and root cause analysis are performed, a fault causal graph is constructed to position a deep problem, and the average repair time is shortened.
Owner:JIANGSU AOYILAN INTELLIGENT TECH CO LTD
Intelligent production scheduling management system for hardware mold
PendingCN120952416AData processing applicationsDigital data information retrievalProduction scheduleAcquisition apparatus
The invention discloses an intelligent production scheduling management system for a hardware mold, relates to the technical field of intelligent manufacturing control, and is used for solving the problem of slow scheduling reconstruction under disturbance. According to the method, rapid response and local adjustment of resource disturbance events such as equipment faults and personnel absence are realized by constructing a disturbance identification and scheduling reconstruction mechanism, the system acquires equipment utilization and scheduling information, generates a joint time sequence, calculates a disturbance sensitivity index and constructs a task resource influence map, and the task resource influence map is subjected to resource scheduling. Positioning a disturbed task and a critical path; a scheduling adjustment strategy in a minimum disturbance range is generated in combination with task priority factors, equipment load balance coefficients and scheduling cost, scheduling confusion caused by global rearrangement is avoided, a system is linked with mold allocation and task queue control, a closed-loop scheduling execution process is formed, and the scheduling efficiency is improved. And the production scheduling stability, the self-adaptive capability and the task completion efficiency can be improved in a complex manufacturing scene.
Owner:DONGGUAN ZHUXUN PRECISION HARDWARE CO LTD
Order scheduling resource scheduling optimization method for flexible production of thermal fuses
The invention relates to the technical field of intelligent manufacturing and production optimization scheduling, and particularly discloses a thermal fuse flexible production-oriented order scheduling resource scheduling optimization method, which comprises the following steps of: generating a structured vector by extracting inherent and dynamic characteristics of an order, and constructing a production scheduling dynamic environment model by fusing a device resource state time sequence; the order comprehensive process switching cost and the resource constraint tightness are calculated, order clusters are divided through multi-target constraint clustering, and a pre-arrangement sequence is generated; key resource conflict early warning is completed through time sequence prediction; constructing a multi-target scheduling model by taking the order cluster as a unit, and generating a look-ahead window scheme by combining a rolling optimization solidification plan baseline; and finally, on the basis of a real-time execution data updating model, through dynamic priority preemption and local rescheduling adjustment when abnormity occurs, the problems of high cost of small-batch mixed arrangement, conflict identification lagging, easy damage of a thermosensitive process steady state and poor compliance constraint adaptation are solved, and collaborative optimization of the scheduling efficiency, the production yield and the compliance is realized.
Owner:ZHANGZHOU YABAO ELECTRONICS
Supply chain logistics real-time scheduling system and method
The invention discloses a supply chain logistics real-time scheduling system and method, and relates to the technical field of production scheduling, and the system specifically comprises a production plan dynamic adjustment module, a digital twin simulation module, a dynamic response and optimization module, a space-time coupling resource scheduling model, a cross-enterprise cooperation module, and a visualization and decision support module. PLTI instructions are dynamically generated through digital twinborn simulation and a dynamic response mechanism, in-plant and out-plant real-time collaboration and in-plant and out-plant combined modeling are achieved, the inventory turnover rate is increased by 25%, the inventory turnover rate is increased through a space-time coupling resource scheduling model, an in-plant storage model and an Amap API road network are constructed through a Unity 3D engine, instruction conflict probability is rehearsed, and the real-time performance of the system is improved. According to the method, logistics scheduling information is dynamically updated every 15 minutes based on a production plan, the logistics scheduling conflict probability is reduced by 83% through digital twin rehearsal, and real-time collaboration and intelligent scheduling of logistics inside and outside a factory are achieved through digital twin simulation, a dynamic response mechanism and a space-time coupling resource scheduling model.
Owner:ZHEJIANG XITUMENG DIGITAL TECH CO LTD
Mine production scheduling auxiliary method and system based on mapping knowledge domain
ActiveCN121526448AData processing applicationsBiological modelsProduction scheduleDynamical optimization
The invention relates to the field of mine production scheduling, and discloses a mine production scheduling auxiliary method and system based on a knowledge graph. According to the method, a cue word template is constructed, and a large model is guided to construct structured data subjected to data purification, so that the reliability of knowledge graph data construction is improved. According to the method, accurate analysis and purification of entities, attributes and time sequences are achieved in multi-source data, the structuralization and accuracy of knowledge extraction are improved, feature enhancement and triple optimization are achieved through prompt word semantic constraint and a contrast learning mechanism, and the real-time performance and reliability of mining field knowledge graph construction are greatly improved. The method still has high adaptability and expansibility under the condition of few samples, intelligent decision making and dynamic optimization of mine production scheduling can be effectively supported, and the knowledge graph construction efficiency and application value are remarkably improved.
Owner:CENT SOUTH UNIV
Towel production plan intelligent scheduling method and system
PendingCN121543938AData processing applicationsManufacturing computing systemsProduction scheduleTask dependency
The invention relates to the field of production scheduling, in particular to an intelligent scheduling method and system for towel production plans. The method comprises the following steps: obtaining towel production order data and a process execution sequence of a towel production information platform, constructing a dependency relationship between process task nodes and tasks according to the process execution sequence and the towel production order data, and generating a towel process task chain set; analyzing resource occupation overlapping conditions among the towel process task chains to construct conflicting resource nodes, analyzing the conflicting resource nodes, constructing conflicting paths, generating a conflicting chain graph, and dividing conflicting release priority areas; analyzing the towel process task chain based on the conflict release priority area and the conflict chain atlas, generating an optimized task chain, and obtaining a schedulable task chain and a path adjustment record; and updating the process task node through the path adjustment record, and generating a towel scheduling table and a towel scheduling structure chart. The method can improve the reasonability of towel production resource scheduling.
Owner:HEBEI BAILIXIN HOME TEXTILE CO LTD
Intelligent construction management method for intelligent beam field
The invention relates to an intelligent construction management method for an intelligent beam field, and the method comprises the steps: collecting multi-source data of a field beam field control system in a preset target period, and carrying out the preprocessing of the multi-source data into standardized input data; substituting the standardized input data into a productivity prediction model trained according to historical multi-source data, and generating a corresponding productivity interval; on the basis of a constrained optimization algorithm, generating a corresponding production scheduling result according to a pre-acquired production scheduling plan and a production capacity interval, and driving a field beam field control system to execute corresponding scheduling operation according to the production scheduling result; and when interference factors are detected, a new production scheduling result is dynamically adjusted based on the productivity prediction model, so that beam manufacturing, beam storage and beam discharging form a closed-loop collaborative management chain, thereby improving the precision and flexibility of a production plan, reducing resource waste and construction conflicts, and improving the overall operation efficiency and scheduling response capability.
Owner:中交赤峰市政建设有限公司 +1
Intelligent material scheduling decision-making method and system based on large language model
PendingCN122048072ADigital data information retrievalSpecial data processing applicationsInformation processingProduction schedule
The invention relates to the technical field of industrial information processing of production logistics scheduling, in particular to an intelligent material scheduling decision-making method and system based on a large language model, and the method comprises the steps: obtaining historical scheduling data, a production plan text, real-time material state information, production rhythm information and production main data; constructing a time statistical model and analyzing the plan text to obtain a scheduling constraint set; generating a candidate transfer time window after consistency verification, and determining a target time window; and generating a timestamp sequence, aligning and correcting according to rhythms, and outputting a scheduling instruction sequence. Constraint conflicts and non-executable instructions can be reduced, and delivery and beat stability is improved.
Owner:ZHENGZHOU UNIV
Garment production simulation and optimization system based on digital twinning
The invention discloses a garment production simulation and optimization system based on digital twinning, and the system comprises a data collection module which is used for collecting various data in a garment production process; the digital twinning model building module is used for building a digital twinning model of garment production according to the data, the digital twinning model comprises a physical entity layer and a virtual model layer, and a data mapping relation between a virtual model and a physical entity is built; the production simulation module is used for carrying out production simulation by utilizing the constructed digital twinborn model, simulating different production scenes and predicting possible problems in the production process; the optimization decision-making module is used for generating an optimization decision-making scheme according to a production simulation result and optimizing a production plan, equipment scheduling and personnel arrangement; the scheduling execution module issues the optimized decision scheme to a production workshop for execution, and remote control and scheduling are realized; the monitoring and evaluation module monitors and evaluates the garment production process in real time. According to the invention, efficient management of garment production and scheduling management of workshops are realized.
Owner:JIANGXI INST OF FASHION TECH
Intelligent production scheduling method and system based on fixed sequence genetic algorithm
The invention discloses an intelligent production scheduling method and system based on a fixed sequence genetic algorithm. The method comprises the following steps: dividing independent production areas of a workshop; key operation is determined, and modeling is carried out on time of the key operation; generating a process set containing a fixed sequence key job based on a process path, performing crossover variation by using an improved genetic algorithm, and keeping the sequence of internal processes of a task unchanged to avoid an invalid solution; and calculating the shortest processing duration through population iteration, and generating a production scheduling Gantt chart. The system comprises a workshop function area module, a key operation type module, a key operation modeling module and a production scheduling result output module, so as to realize the output of an intelligent production scheduling result. The method improves the production scheduling efficiency and the applicability of the production scheduling result, and is suitable for complex production scenes such as electronic assembly and cabinet debugging.
Owner:THE 724TH RESEARCH INSTITUTE OF CHINA STATE SHIPBUILDING CORP LTD
Intelligent ERP system data management method based on business and financial integration
The invention provides an intelligent ERP (Enterprise Resource Planning) system data management method based on business and financial fusion. The method comprises the following steps: analyzing order priority and resource demand through historical load and real-time failure rate, determining a key order, analyzing emergency degree and delivery deadline identification priority, generating a production schedule, and adjusting task time and equipment distribution; analyzing the scheduling scheme, determining a resource demand change, determining a financial budget allocation proportion according to the resource demand change, and determining a production and financial connection time point according to the financial budget allocation proportion; and determining a fund examination and approval priority order according to the production and finance connection time point, correcting a production schedule in combination with a connection time point offset error determined by analyzing a production time table and material demand change, and generating a resource allocation scheme.
Owner:SHENZHEN INSTITUTE OF INFORMATION TECHNOLOGY
Intelligent production scheduling control method and system for hardware manufacturing workshop
PendingCN120822783AData processing applicationsKnowledge representationComputer hardwareProduction schedule
The invention discloses an intelligent production scheduling control method and system for a hardware manufacturing workshop, and relates to the technical field of production control, and the method comprises the steps: building a hardware manufacturing resource map, carrying out the resource dependence analysis of a hardware order set, and generating an order dependence resource map; establishing a resource adequacy evaluation sequence; performing exception analysis on the resource adequacy evaluation sequence, determining an adequacy exception factor, compensating and adjusting a hardware manufacturing resource map, establishing a first production resource adjustment space, and constructing a second production resource adjustment space through traversal optimization; global optimization is carried out on the second production resource adjustment space, a hardware production resource optimization strategy is determined, and resource optimization is carried out on the hardware manufacturing workshop. The technical problems of complex resource dependence, unbalanced supply and demand and insufficient scheduling optimization in the hardware manufacturing workshop resource scheduling process in the prior art are solved, and the technical effects of accurate perception of the resource state, dynamic optimization of the scheduling strategy and minimization of the production risk are achieved.
Owner:HANGZHOU LONGRUN MECHANICAL & ELECTRICAL TECHNOLOGY CO LTD
Numerical control multi-target energy-saving optimization method and system and storage medium thereof
The invention provides a numerical control multi-target energy-saving optimization method and system and a storage medium, and the method comprises the steps: constructing a mixed integer linear programming model for multi-target flexible job shop scheduling, taking machine tool distribution, a machining sequence, tool distribution and a machining speed as decision variables, and taking total weighted tardiness and total energy consumption as optimization targets; a single-layer real number coding method is adopted, machine tool allocation, the machining sequence and the machining speed are coded in a one-dimensional real number sequence in a unified mode, an initial population is generated, the mixed integer linear programming model is solved through a multi-target optimization algorithm, and an algorithm optimal solution of the mixed integer linear programming model is obtained; decoding the optimal solution of the algorithm, distributing tools for each process, and generating a production plan table; and calculating the total weighted tardiness and the total energy consumption to obtain an algorithm energy-saving optimization scheduling scheme. According to the method, the dual-objective mixed integer linear programming model is constructed, and the innovative coding and decoding strategy and the dynamic optimization mechanism are combined, so that collaborative optimization of the production efficiency and the energy consumption is realized.
Owner:XIAMEN UNIV OF TECH +1
Production element demand-driven process collaborative modeling method
The invention discloses a production element demand-driven process collaborative modeling method. The method comprises the steps of defining a relationship and a hierarchical structure between labels by using an OWL, converting a process element rule into a label combination which can be understood by a machine, performing element matching by adopting an intelligent algorithm, and maximizing a matching degree between a production demand and an information model; conflict detection and model release: detecting and eliminating time conflicts and capability conflicts, and finally releasing a conflict-free matching model to ensure optimal configuration and efficient utilization of resources; when a process rule or an information model used in the production schedule is edited or deleted, the timed task is triggered to check whether the associated production task is completed or not; and meanwhile, due to the introduction of a version chain mechanism and a rollback function, the traceability and the restorability of the change are ensured. According to the method, full-process automation of process requirement definition, resource capacity matching and production scheduling plan conflict inspection and elimination is realized, and the problem of low collaboration efficiency caused by model splitting is eliminated.
Owner:SOUTHWEST CHINA RES INST OF ELECTRONICS EQUIP
Cooperative scheduling method based on schedule optimization
InactiveCN120875378AData processing applicationsInference methodsProduction scheduleResource assignment
The invention discloses a collaborative scheduling method based on schedule optimization, and relates to the technical field of production scheduling, and the method comprises the following steps: decomposing a production task into a plurality of subtasks according to process requirements, and determining the priority of each subtask; carrying out resource allocation according to a pre-constructed resource allocation model in combination with the dependency relationship among the production links and the resource constraint conditions; determining a key path of the production task, arranging a production schedule, and calculating the length of the key path; the execution process is adjusted in time by establishing a collaborative scheduling model; and according to the length of the critical path and the collaborative scheduling model, based on fuzzy reasoning, evaluating a scheduling effect, and continuously optimizing a scheduling scheme. The problems that in an existing scheduling method, response is slow, a scheduling scheme cannot be adjusted in time, production is interrupted and delayed, and the scheduling effect is far lower than expectation are solved, and the method aims at breaking through existing limitation and achieving efficient configuration of production resources and collaborative optimization of the production process.
Owner:深圳市两朵浪科技有限公司
processing apparatus
ActiveCN116765829BOther manufacturing equipments/toolsFeeding apparatusProduction scheduleRaised floor
A processing device integrates a milling height device, a milling edge device, a turning device and a hole forming device on a production line, so that the processing of pedestal height, side milling and drilling can be performed on a single production line for a target object such as a raised floor, thereby speeding up the production schedule and improving the production efficiency.
Owner:JINXI HUIYA TECH CO LTD
Dynamic production scheduling method and system for multi-section concrete precast beam supply beam demand
This invention discloses a dynamic scheduling method and system for precast concrete beams to meet the demand for beams from multiple construction sections. The method includes: S100, mapping the beam storage platforms to a spatiotemporal grid with turnover attributes, and converting the beam erection demand from multiple construction sections into a standardized production work order pool; S200, clustering all work orders to be produced based on a mold family library to generate an initial continuous production sequence that prioritizes reducing the frequency of mold disassembly and assembly and adjustment time; S300, verifying the platform occupancy of the initial sequence based on curing cycle parameters, and automatically inserting production intervals or adjusting the sorting when spatiotemporal conflicts are detected to correct the production schedule; S400, applying a weighted scoring model to quantitatively sort each plan, and locking the plan with the highest comprehensive score as the current execution target; S500, decomposing the final plan into mold modification, pouring, and beam moving operation instructions accurate to the hour and issuing them. Through multi-plan comparison, the ability of precast beam plants to fulfill complex beam supply demands is improved.
Owner:XINJIANG JIAOJIAN MUNICIPAL ENG CO LTD +3
Intelligent production scheduling and load balancing method and system for silicone rubber production line
The invention provides an intelligent production scheduling and load balancing method and system for a silicone rubber production line, and relates to the field of silicone rubber production and manufacturing, and the method comprises the steps: obtaining production task data and equipment state data, constructing a dual prediction space containing an instant state space and an expected state space, and calculating the instant state and expected state prediction values of a station. And combining to obtain a station load saturation degree to generate a load distribution diagram. And generating an initial production scheduling sequence based on the production task data and the load distribution diagram, converting inter-station material transmission time and load saturation into a directed flow diagram, determining a task allocation boundary by calculating a maximum flow-minimum cutting set, and performing grouping reconstruction on the initial production scheduling sequence to obtain an optimized production scheduling sequence. And finally, superposing a material heat preservation time constraint, calculating an optimal task flow path to carry out time sequence adjustment, and generating a final production scheduling scheme. The production efficiency of the silicone rubber production line can be effectively improved, equipment load balance is achieved, and the product quality stability is guaranteed.
Owner:SHENZHEN JINSHENG SILICONE TECH CO LTD
An internet of things multi-source data edge computing processing system and method
The application discloses an Internet of Things multi-source data edge computing processing system and method in the technical field of Internet of Things data processing, and relates to the technical field of edge computing.The system comprises a centralized production scheduling unit that continuously monitors and analyzes production plans, identifies processing tasks to be started in a future preset time period, and extracts material batch identifiers corresponding to the processing tasks.Based on the material batch identifiers, simplified key background information matching the processing tasks is extracted from a global background information database.The simplified key background information is the minimum data set required for edge side anomaly detection.The application simultaneously solves the problem of misjudgment caused by the lack of global background information on the edge side and the problem of communication delay caused by real-time request information, significantly improves detection accuracy on the premise of ensuring millisecond-level response capability, and avoids redundant data transmission and storage overhead.
Owner:BEIJING ZHIRUIJIE TECHNOLOGY CO LTD
Intelligent production line for manufacturing new energy automobile support parts and operation method and application of intelligent production line
The invention relates to the technical field of high-end equipment manufacturing, and discloses an intelligent production line for new energy automobile support part manufacturing and an operation method and application of the intelligent production line. The production line comprises a storage and dispatching unit, an AGV logistics and transfer unit, a 3D visual recognition and positioning unit, a self-adaptive intelligent clamping unit, a multi-axis numerical control machining center unit and an online detection and quality feedback unit. The production line carries out global optimization production scheduling through a central scheduling model, rapid remodeling and accurate clamping are achieved through 3D vision and a flexible clamp, parameters are adjusted in real time through a self-adaptive model according to force and vibration signals in the machining process, and a quality closed loop is formed through online detection. The problems of frequent die change, low efficiency and poor precision consistency in a multi-variety small-batch production mode are effectively solved, high-degree flexible production is realized, the production efficiency and the product quality stability are remarkably improved, and the dependence on manpower is reduced.
Owner:SHANDONG HUIYU AUTO PARTS CO LTD
Data analysis method based on supply chain
The invention relates to a data analysis method based on a supply chain, in particular to the technical field of business management, and the method comprises the following steps: S1, collecting supply chain data from an internal system and an external source, the internal data comprising a production plan, a production schedule, an inventory level, a purchase order and a sales record, the external data comprises logistics transportation information, market demand indexes, consumer behavior characteristics, meteorological monitoring data, road traffic flow and policy and regulation change information; according to the invention, by establishing a multi-source data access channel, data of an ERP system, an MES system, a WMS system, an external data platform and an Internet of Things device are uniformly collected, and historical data and real-time data are combined to construct a multi-dimensional time sequence database, so that complete acquisition and structured storage of supply chain global information are realized; and the comprehensiveness and accuracy of data input are ensured.
Owner:JIANGSU TIANMA SUPPLY CHAIN CO LTD
Production data-driven intelligent scheduling methods and systems for machinery and equipment
This invention discloses a production data-driven intelligent scheduling method and system for mechanical equipment, relating to the technical field of equipment scheduling. The method includes: constructing a set of equipment operating characteristics; comprehensively evaluating the current load rate, processing capacity, and failure risk of each piece of mechanical equipment; constructing a scheduling objective function using equipment survivability scores as scheduling decision weight parameters; performing task allocation and processing path optimization calculations to generate an intelligent scheduling scheme for the mechanical equipment; and monitoring the scheduling execution process in real time to adaptively adjust the production scheduling scheme. This invention solves the technical problems in existing technologies where static scheduling cannot adapt to real-time changes in equipment status and lacks a dynamic risk feedback mechanism, leading to equipment overload, unplanned downtime, and cascading production delays during scheduling scheme execution. It achieves the technical effects of improving the production scheduling system's adaptability to dynamic equipment operating conditions, reducing the risk of unplanned downtime, and optimizing equipment utilization and production delivery reliability.
Owner:YANGZHOU POLYTECHNIC COLLEGE
Manufacturing industry advanced plan scheduling system and method based on artificial intelligence
InactiveCN121809971AData processing applicationsManufacturing computing systemsProduction scheduleStart time
The invention belongs to the technical field of scheduling optimization, and discloses a manufacturing industry advanced plan scheduling system and method based on artificial intelligence, and the method comprises the steps: generating an initial scheduling scheme according to production order data and manufacturing resource constraint data; analyzing the initial scheduling scheme to establish a basic time sequence graph, and performing man-hour probability distribution fitting on each task node based on historical production data to obtain a probability time sequence graph; and traversing each task node, calculating and correcting the material ready time based on the man-hour probability distribution function of the previous task node and a preset on-time completion confidence coefficient, updating the plan time of each task node, and obtaining a final production schedule. Adjacent processes form a parallel overlapping relation by starting a time delay mechanism, so that the production cycle is effectively shortened; and meanwhile, the planned time is dynamically adjusted based on the man-hour probability distribution, the time margin can be reserved according to the difference of the actual fluctuation characteristics of each process, and the robustness of the scheduling scheme is improved.
Owner:ZHONGYI SOFTWARE (HUNAN) CO LTD
Inventory-containing dynamic trademark production scheduling method
The invention discloses an inventory-containing dynamic trademark production scheduling method, which comprises the following steps that: 1) a user sets a delay duration reduction weight, inputs trademark production scheduling basic information and inputs inventory information; 2) calculating the time length of the inventory needing to be consumed; (3) circulation is conducted for P rounds, and the machining duration of all marks, the remaining stock machining duration and the consumed stock machining duration are updated; and 4) finally outputting a trademark production scheduling result and trademark consumption inventory processing time. According to the invention, through multi-round iteration, the delay of high-inventory selection index trademarks is relieved preferentially, and inventory waste is avoided.
Owner:NANJING RICHISLAND INFORMATION TECH CO LTD
Veneer reeling machine production task dynamic scheduling method and system based on equipment state perception
The invention provides a veneer reeling machine production task dynamic scheduling method and system based on equipment state perception, and relates to the technical field of production scheduling, and the method comprises the steps: obtaining an equipment real-time database; performing feature extraction on the equipment real-time database to obtain an equipment real-time feature set; analyzing the equipment real-time feature set by applying a preset threshold rule, outputting a preliminary health level state, and updating the equipment real-time feature set based on the preliminary health level state; based on the updated real-time feature set of the equipment, deep evaluation of the health state of the equipment is realized, and a comprehensive state diagnosis result of the equipment is obtained; and obtaining a production task, and constructing a dynamic scheduling scheme in combination with the equipment comprehensive state diagnosis result. The technical problems that in the prior art, efficient and reliable scheduling of production tasks of the plate rolling machine is difficult to achieve, and production plan interruption and overall efficiency reduction are easily caused by sudden equipment failures are solved.
Owner:SHIP LIFT (DALIAN) CO LTD
A cloud edge collaboration-based production scheduling intelligent management and control system
The application relates to the technical field of cloud-edge collaboration, in particular to a production scheduling intelligent management and control system based on cloud-edge collaboration, which comprises a task characteristic aggregation module, which extracts a task type code based on an input task request, queries a task type and calculation amount mapping table in a pre-stored knowledge base, matches the task type and extracts a calculation amount parameter. In the application, the task data packet size, the real-time requirement threshold and the bandwidth benchmark value are linked to calculate the transmission time consumption parameter by dynamically matching the task type and the pre-stored calculation amount mapping relationship, the quantitative mapping of task demand and resource supply is realized, and the parameter deviation caused by traditional artificial experience estimation is eliminated. The CPU occupancy rate value of the edge node process queue is collected in real time, the multi-dimensional node state vector is generated by combining the cloud virtual machine instance quantity and the memory residual quantity data, the limitation of traditional single resource index monitoring is broken through, and the time and space fine granularity of load evaluation is improved.
Owner:SUZHOU SYNERGY CHUANGXIN DIGITAL TECHNOLOGY CO LTD