Hospital supply chain order data optimization method based on big data analysis

Abstract

The invention discloses a hospital supply chain order data optimization method based on big data analysis, and relates to the technical field of order data optimization, and the method comprises the steps: uniformly writing business events in an SPD business link into an order plan account book, a real logistics account book and a temporary warehouse-out account book, and synchronously generating a state snapshot of a digital twin warehouse control tower; pre-deducting the emergently and temporarily received materials, generating available stock calibers, and writing the available stock calibers back to the digital twin warehouse control tower; the method comprises the following steps: reading available inventory calibers of various materials from a digital twin warehouse control tower to obtain a margin information list of the various materials, allocating and purchasing the various materials according to the margin information list, and writing a purchase order into an order plan account book; and for each batch of orders, performing differential reconciliation on the order plan account book and the real logistics account book, and updating the digital twin warehouse control tower. According to the method, the digital twin warehouse control tower is triggered to refresh through the newly added write-in of the account book, so that the real-time performance and the accuracy of inventory availability judgment are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of order data optimization, and particularly relates to a hospital supply chain order data optimization method based on big data analysis. BACKGROUND

[0002] The hospital SPD (supply-processing-distribution) mode gradually forms a closed-loop operation system with the main lines of procurement plan, distribution receipt, shelving and warehouse delivery, and department use, along with the development of in-hospital fine management and Internet of Things application. The conventional implementation path is usually based on ERP / WMS and other information systems, combined with bar code / RFID collection and safety inventory threshold strategy, to generate replenishment / purchasing plans in the procurement module, record receipt, shelving, unpacking and delivery in the warehouse module, and realize cross-warehouse replenishment and turnover through multi-level warehouse (central warehouse, etc.) hierarchical management, and support Kanban for displaying inventory and operation progress.

[0003] However, in the multi-level inventory scenario, business events are often scattered in different data carriers such as plan documents, physical movement and temporary use, and lack unified account-based records and "location-inventory entity" mapping mechanisms, which makes it difficult to consistently calculate and real-time refresh the inventory, pre-occupied and available diameters. Especially when emergency temporary use occurs, the traditional method relies on post-filling or manual checking, which is easy to cause account-real deviation accumulation, and further weaken the timeliness and traceability of decisions such as cross-warehouse allocation, age priority and difference reconciliation according to promised delivery. SUMMARY

[0004] In view of the above existing problems, the present application is proposed.

[0005] Therefore, the present application provides a hospital supply chain order data optimization method based on big data analysis to solve the problem of lack of unified account-based records and "location-inventory entity" mapping mechanisms.

[0006] To solve the above technical problems, the present application provides the following technical solutions:

[0007] In the first aspect, the present application provides a hospital supply chain order data optimization method based on big data analysis, which includes,

[0008] The business events in the SPD business link are uniformly written into the order plan account book, the physical flow account book and the temporary delivery account book, and the digital twin warehouse control tower is generated synchronously, and the business information in the SPD business link is visually displayed;

[0009] When emergency temporary use occurs, the full-process item in the temporary delivery account book is executed, and the materials for emergency temporary use are pre-deducted, the available inventory diameter is generated, and the digital twin warehouse control tower is written back;

[0010] Read the inventory information list from the digital twin warehouse control tower, allocate and purchase various materials according to the inventory information list, generate a purchase order, and write it into the order plan account book;

[0011] Differences between the order plan account book and the physical flow account book are reconciled, and the digital twin warehouse control tower is updated.

[0012] As a preferred scheme of the hospital supply chain order data optimization method based on big data analysis, the business events are uniformly written into the order plan account book, the physical flow account book, and the temporary outbound account book, and the specific steps are as follows,

[0013] According to the purchase order and the constant package safety quantity maintenance and monitoring, a planned order item is generated, and each planned order item is written into the order plan account book;

[0014] According to the delivery order, the receipt order, and the bulk cargo receipt and shelving, an actual action item is generated, and the actual action item is written into the physical flow account book;

[0015] The whole process item of emergency temporary use is written into the temporary outbound account book.

[0016] As a preferred scheme of the hospital supply chain order data optimization method based on big data analysis, the digital twin warehouse control tower is generated, and the specific steps are as follows,

[0017] Classify each record in the order plan account book, the physical flow account book, and the temporary outbound account book to each inventory entity to obtain a record item set of each account book;

[0018] According to the record item set of each account book, a fixed inventory state description set is fixed for each inventory entity;

[0019] The inventory state description set of each inventory entity is summarized to obtain the digital twin warehouse control tower.

[0020] As a preferred scheme of the hospital supply chain order data optimization method based on big data analysis, the available inventory caliber is generated, and the specific steps are as follows,

[0021] Read the backfill reason in the temporary outbound account book to obtain the type and quantity of the outbound materials;

[0022] According to the type and quantity of the outbound materials, the corresponding materials in the inventory entity are pre-deducted to obtain the account inventory of the corresponding materials, and the account inventory is taken as the available inventory caliber.

[0023] As a preferred scheme of the hospital supply chain order data optimization method based on big data analysis, the margin information list is calculated according to the inventory amount, the upper limit of the inventory and the lower limit of the inventory of each material in each inventory entity, and the gap and the transferable amount are obtained, and each material is sorted according to the transferable amount, the gap and the expiration date information.

[0024] As a preferred scheme of the hospital supply chain order data optimization method based on big data analysis, the allocation and procurement of each material are as follows,

[0025] For the same kind of material, the gap is sorted according to the order of emergency temporary delivery and follow-up priority, large gap priority and early expiration priority, and the transferable amount is sorted according to the order of early expiration priority;

[0026] According to the sorting results of the gap and the transferable amount, the materials are allocated between the inventory entities;

[0027] For the materials with gap after allocation between different inventory entities, the distribution unit and the inventory unit are aligned, and the procurement process of the materials is performed.

[0028] As a preferred scheme of the hospital supply chain order data optimization method based on big data analysis, the difference between the order plan account and the physical flow account is as follows,

[0029] Compare the quantity and time recorded in the physical flow account with the promised delivery time and quantity recorded in the order plan account;

[0030] If they are consistent, the materials are delivered to each inventory entity;

[0031] If they are inconsistent, the delivery of the materials is suspended, and the supplier is notified to re-deliver and re-issue, and the order plan account and the physical flow account are written.

[0032] As a preferred scheme of the hospital supply chain order data optimization method based on big data analysis, the inventory state description set includes inventory, pre-occupied, work plan, work execution and emergency temporary use work.

[0033] As a preferred scheme of the hospital supply chain order data optimization method based on big data analysis, the record set of each account book is classified into each inventory entity according to the matching relationship between the occurrence position field and the inventory entity identifier of each record in the order plan account book, the physical flow account book and the temporary delivery account book, and the order plan account book record set, the physical flow account book record set and the temporary delivery account book record set are obtained according to the inventory attribute.

[0034] As a preferred scheme of the hospital supply chain order data optimization method based on big data analysis, the inventory entity list includes the inventory location and the inventory identifier of the inventory entity.

[0035] The inventory location and the inventory identifier are in one-to-one correspondence.

[0036] The inventory entity includes a central warehouse, a temporary warehouse, a secondary warehouse and a tertiary warehouse.

[0037] The beneficial effects of the present application are that by writing the planning side, the execution side and the emergency side actions in the SPD link into the order plan account book, the physical flow account book and the temporary delivery account book, and based on the inventory entity list and the location mapping dictionary, a unified correlation framework is constructed, so that the central warehouse, the temporary warehouse, the secondary warehouse and the tertiary warehouse can form repeatable calculation and consistent presentation of inventory, pre-occupied and available inventory under the same state calculation rule, and the time sequence relationship of business events can be solidified as operation execution and emergency operation, pre-deducting and rewriting of emergency use, and closed-loop processing of account differences, so as to improve the real-time and accuracy of inventory availability determination, strengthen the decision reliability of cross-warehouse allocation and whole package alignment procurement, reduce the risk of supply interruption and near-expiration backlog, and enhance the whole-process traceability and auditability. BRIEF DESCRIPTION OF DRAWINGS

[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0039] Fig. 1 The flowchart of the hospital supply chain order data optimization method based on big data analysis.

[0040] Fig. 2 The flowchart of generating the state snapshot of the digital twin warehouse control tower.

[0041] Fig. 3Flowchart for emergency temporary use and generation of available inventory profile.

[0042] Fig. 4 Flowchart for difference reconciliation. DETAILED DESCRIPTION

[0043] In order to make the above objectives, features and advantages of the present application more apparent, specific embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0044] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. However, it will be apparent to one skilled in the art that the present application can be practiced without the specific details set forth in this description. In other instances, well-known methods, procedures, components, and circuits have not been described in detail as not to unnecessarily obscure aspects of the present application.

[0045] Secondly, the "one embodiment" or "embodiment" referred to herein means that the specific features, structures or characteristics can be included in at least one implementation of the present application. "In one embodiment" appearing in different places in the specification does not mean the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments.

[0046] REFERENCE Figs. 1-4 For one embodiment of the present application, the embodiment provides a hospital supply chain order data optimization method based on big data analysis, comprising the following steps:

[0047] S1, the business events in the SPD business link are uniformly written into the order plan account book, the physical flow account book and the temporary outbound account book, and the digital twin warehouse control tower is generated synchronously, and the business information in the SPD business link is visually displayed.

[0048] The business events are obtained from the supply chain of the SPD platform (Supply, Processing and Distribution), including purchase orders, distribution orders, receipt orders, bulk receipt shelving, fixed number package safety quantity maintenance and monitoring, and emergency temporary use.

[0049] Among them, the SPD platform is the core tool of modern hospital intelligent supply chain management, its essence is a hospital supply chain integrated solution centering on hospital demand, operated by professional service providers, and integrating Internet of Things and big data, which plays a key role in the fine management of materials (consumables and medicines, etc.).

[0050] According to the purchase order and the constant package safety quantity maintenance and monitoring, a planned order item is generated, and each planned order item is written into an order plan account book. Specifically, according to the constant package safety quantity maintenance and monitoring, a low-limit automatic replenishment order and a low-limit automatic purchase plan order are generated. That is, according to the real-time monitoring of consumables and drugs in the hospital by the SPD platform, if the quantity of a certain material is less than the minimum requirement in the hospital, such as 30% of the maximum quantity, a purchase plan order is generated according to the specific quantity of the material that is needed (such as the difference between the maximum quantity and the existing quantity). The information of the purchase order, the low-limit automatic replenishment order and the low-limit automatic purchase plan order, including the order number, the variety and quantity of the material, etc., is summarized as a planned order information set. The order number and the generation time of the order are used to generate an order identifier for each order in the planned order information set, and the order identifier is associated with the order number. The promised delivery quantity and time given by the supplier to the purchase order, the low-limit automatic replenishment order and the low-limit automatic purchase plan order are summarized as a promise detail. The promise detail and the planned order information set are combined into a planned order item, and written into an order plan account book.

[0051] According to the delivery order, the receipt order and the bulk goods receipt and shelving, an actual action item is generated, and the actual action item is written into a physical flow account book. Specifically, according to the business events involved in the delivery order, the receipt order and the bulk goods receipt and shelving, including receipt confirmation (time and quantity), shelving, warehousing, unpacking and department receipt, the action detail is read, including the action type, the action occurrence time and location (department), the variety and quantity of the material, etc. The identifier of each business event is composed of the type of the business event, the delivery order and receipt order number, the action occurrence time and location, and is associated with the order identifier of the purchase order. The business event identifier and the action detail are combined into an actual action item, and written into a physical flow account book.

[0052] The whole process items of emergency temporary use, such as pre-storage, code scanning access, determining warehousing and backfilling reasons, etc., are written into a temporary warehousing account book.

[0053] The SPD platform classifies inventory entities according to different scenarios and main service objects, including a central warehouse, a temporary warehouse, a secondary warehouse, and a tertiary warehouse. The central warehouse is a logistics center for the entire hospital. Through centralized receipt, acceptance, storage, and distribution in the central warehouse, the entire hospital is served. The secondary warehouse is a regional warehouse for each building. The tertiary warehouse is at a treatment point (such as a treatment room) in each department, serving specific teams / wards. The temporary warehouse is located near emergency, surgery, or clinical rescue scenarios, used for sudden high-frequency use or short-term turnover. Inventory entities are used as inventory carrying positions to participate in business events and out-of-stock actions in emergency temporary use scenarios. By aggregating the inventory locations and inventory entity identifiers (such as location numbers, warehouse numbers, and shelf numbers) of the central warehouse, temporary warehouse, secondary warehouse, and tertiary warehouse, a one-to-one matching relationship between the inventory locations and inventory entity identifiers is obtained, and an inventory entity list is obtained.

[0054] According to the matching relationship between the occurrence location field (inventory location) and the inventory identifier in the order plan account, the physical flow account, and the temporary out-of-stock account, the records in the order plan account, the physical flow account, and the temporary out-of-stock account are classified into the central warehouse, the temporary warehouse, the secondary warehouse, and the tertiary warehouse, and the order plan account record item set, the physical flow account record item set, and the temporary out-of-stock account record item set according to the inventory belonging are obtained.

[0055] At the same time, the central warehouse, the temporary warehouse, the secondary warehouse, and the tertiary warehouse are fixed with a set of inventory state descriptions. Specifically, the physical flow account records of each inventory entity are aggregated in chronological order. According to the number of warehouse-in type actions and the number of warehouse-out type actions, the real-time inventory of the central warehouse, the temporary warehouse, the secondary warehouse, and the tertiary warehouse is calculated. According to the temporary out-of-stock account record item set, the pre-stored quantity is taken as the pre-occupied quantity, and the out-of-stock state record item is determined to form the out-of-stock deduction quantity. The pre-occupied quantity and the real-time available quantity of the temporary warehouse are calculated, and the pre-occupied quantity range is obtained. The commitment details in the order plan account record item set are taken as the job plan range. The execution order of each business event in the physical flow account record item set is taken as the job execution range. The execution order of each record in the temporary out-of-stock account record item set is taken as the emergency temporary use job range. The backfill reason state is only included in the emergency temporary use job range, and does not change the inventory range and the pre-occupied quantity range. The inventory range, the pre-occupied range, the job plan range, the job execution range, and the emergency temporary use job range are combined into a set of inventory state descriptions.

[0056] The inventory entity list, the order plan account record item set, the physical flow account record item set, and the temporary outbound account record item set are taken as the generation input of the digital twin warehouse control tower, the matching relationship between the occurrence position field of each record in the order plan account, the physical flow account, and the temporary outbound account and the inventory identification is taken as the mapping dictionary of the digital twin warehouse control tower, and the inventory state description set is taken as the state calculation rule of the digital twin warehouse control tower. The inventory caliber, the pre-occupied caliber, the operation plan caliber, the operation execution caliber, and the emergency temporary use operation caliber corresponding to the central warehouse, the temporary warehouse, the secondary warehouse, and the tertiary warehouse are calculated respectively, and the calculation results of the central warehouse, the temporary warehouse, the secondary warehouse, and the tertiary warehouse are summarized as the state snapshot of the digital twin warehouse control tower.

[0057] The addition of the order plan account, the physical flow account, and the temporary outbound account is taken as the refresh trigger condition of the digital twin warehouse control tower. When the refresh trigger condition is triggered, the inventory entity attribution of the addition is performed according to the association rule in sequence, the order plan account record item set, the physical flow account record item set, and the temporary outbound account record item set are updated, and the update of the inventory state description set is updated, and the digital twin warehouse control tower is displayed.

[0058] It should be noted that the digital twin warehouse control tower uses the inventory entity partition + field layering format to visually display the business information in the SPD business link, wherein the first layer is the inventory entity partition, and the central warehouse, the temporary warehouse, the secondary warehouse, and the tertiary warehouse are taken as the partition title, the second layer is the field layering, and the inventory caliber, the pre-occupied caliber, the operation plan caliber, the operation execution caliber, and the emergency temporary use operation caliber are sequentially displayed under each inventory entity partition, and the refresh time is taken from the generation time field of the twin warehouse state snapshot.

[0059] S2, when emergency temporary use occurs, the whole process item in the temporary outbound account is executed, the emergency temporary use material is pre-deducted, the available inventory caliber is generated, and the digital twin warehouse control tower is written back.

[0060] The whole process item of the emergency temporary use includes pre-storage, code scanning access, determination of outbound, and backfilling reason, and is specifically as follows:

[0061] The pre-storing includes that when an emergency temporary taking occurs in the hospital, a temporary out-of-stock application is submitted by the department to the server, including the type and quantity of the material, the application department and the reason, etc., and at the same time, the identity verification is completed, the server writes the temporary out-of-stock application into the pre-storing, generates a transaction number in the temporary out-of-stock account book, writes the transaction number as an associated field into the temporary out-of-stock application, and sends it to the inventory entity end, wherein the transaction number is the identification of the whole process of one emergency temporary taking, which is obtained by splicing the generation time and the identity verification information, etc.; the code scanning access includes that the inventory entity end issues temporary out-of-stock information according to the temporary out-of-stock application and transmits it to the department; the out-of-stock determination includes that the department sends the out-of-stock determination information to the server after checking the temporary out-of-stock information; and the reason backfilling includes that the server generates a backfilling single according to the received out-of-stock determination information, including the type, quantity and temporary out-of-stock reason of the out-of-stock material, and uploads the supervision terminal trace.

[0062] According to the type and quantity of the out-of-stock material in the backfilling single, the corresponding material in the inventory entity is pre-deducted by the out-of-stock quantity to obtain the account inventory of the corresponding material, and the account inventory is taken as the available inventory criterion, and the digital twin warehouse control tower is updated.

[0063] S3, read the residual quantity information list from the digital twin warehouse control tower, and allocate and purchase each type of material according to the residual quantity information list, generate a purchase order, and write it into the order plan account book.

[0064] In the digital twin warehouse control tower, read the available inventory criterion of each type of material and traverse all inventory entities, read the inventory quantity, inventory upper limit, inventory lower limit and expiration period information of each inventory entity for each type of material respectively, and calculate the transferable quantity and the gap quantity, wherein the transferable quantity is the difference between the inventory quantity and the inventory upper limit, and the gap quantity is the difference between the inventory quantity and the inventory lower limit, and each type of material is summarized according to the transferable quantity, the gap quantity and the expiration period information respectively to obtain the residual quantity information list.

[0065] According to the residual quantity information list, each type of material is allocated, specifically, for the same type of material, the gap quantity is sorted in the order of "emergency temporary out-of-stock and follow-up priority, large gap priority, and earlier expiration priority", the transferable quantity is sorted in the order of earlier expiration priority, and according to the sorting results of the gap quantity and the transferable quantity, an allocation order is generated and allocation is performed between the inventory entities, for example, the transferable quantity of the cotton swab in the central warehouse is 150 packs, the gap quantity of the cotton swab in the secondary warehouse is 70 packs, the gap quantity of the cotton swab in the tertiary warehouse is 60 packs, and the gap quantity of the temporary warehouse is 50 packs, that is, the temporary warehouse is preferentially allocated, then the secondary warehouse is allocated, and finally the tertiary warehouse is allocated, until the corresponding variety gap quantity or transferable quantity is 0 in each inventory entity.

[0066] The reason for the gap amount ordering sequence being "emergency temporary out-of-stock and follow-up priority, large gap amount priority, and earlier effective period priority" is as follows: Emergency temporary out-of-stock and follow-up priority is based on clinical continuity and time window rigidity. Specifically, emergency temporary out-of-stock often corresponds to a clinical immediate use scenario. Once emergency temporary out-of-stock cannot be satisfied, there is a direct risk of material shortage at the clinical end. The same is true for follow-up, which corresponds to surgical scheduling and procedure consumables. They all require strict delivery and use time windows and higher non-substitutability. Therefore, emergency temporary out-of-stock and follow-up priority is required. Secondly, a larger gap amount means a higher risk of supply interruption and a greater need for replenishment. Prioritizing materials with larger gap amounts can reduce the total risk of stockout faster under the same transferable amount constraint. Finally, earlier effective period priority is based on the principles of near expiration risk control and first-in-first-out management. Prioritize materials with earlier effective periods to faster consuming inventory entities to reduce the probability of accumulation and scrap.

[0067] For materials that still have a gap amount after allocation between different inventory entities, procurement is performed. Specifically, according to the distribution unit, whole package alignment is performed to obtain the whole package procurement quantity. The tail difference generated by rounding up is uniformly distributed to the central warehouse, and the procurement order is written into the order plan account book. Wherein, performing whole package alignment refers to rounding up the distribution unit of the supplier and the inventory measurement unit of the material, for example, the inventory of cotton swabs is 32 packages, and 68 packages need to be replenished to reach the inventory upper limit. The supplier's delivery unit is a box, with 50 packages per box. To ensure that the procurement quantity meets the supplier's whole package delivery rules and avoid situations where the supplier cannot deliver by the number or cause picking and distribution abnormalities, although the replenishment quantity is less than two boxes, it also needs to be purchased as two boxes, and the cotton swabs exceeding the inventory upper limit are allocated to the central warehouse for subsequent allocation.

[0068] S4, difference reconciliation is performed on the order plan account book and the physical flow account book, and the digital twin warehouse control tower is updated.

[0069] For the same order batch, after the promised delivery time of the supplier expires, the promised delivery time and the promised quantity are read from the order plan account book, and the same order batch's receipt business events, such as receipt time, receipt quantity, and batch expiration date records, are read from the physical flow account book to determine whether they are consistent with the promised delivery time and the promised quantity. A difference reconciliation list for the order batch is obtained.

[0070] According to the difference reconciliation list, for orders without differences, the materials are issued in batches according to the gap amount of each inventory entity. For orders with differences, each order is processed. Specifically, for materials with receipt within the promised delivery time, less than the promised quantity, or inconsistent batch expiration dates, the issuance of the materials is suspended, the difference between the promised quantity and the receipt quantity in the physical flow account book is calculated, and the difference is reported to the supplier for resupply or reissue. The difference reason and the processing result are written into the order plan account book and the physical flow account book.

[0071] For materials with discrepancies in reconciliation, reallocation or procurement is carried out between the various inventory entities, and the digital twin warehouse control tower is updated.

[0072] This embodiment also provides a computer device applicable to the hospital supply chain order data optimization method based on big data analysis, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the hospital supply chain order data optimization method based on big data analysis as proposed in the above embodiment.

[0073] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0074] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the hospital supply chain order data optimization method based on big data analysis proposed in the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0075] In summary, this invention achieves this by writing the planning, execution, and emergency actions in the SPD (Search, Execution, and Emergency) chain into the order planning ledger, physical logistics ledger, and temporary outbound ledger, respectively. Based on an inventory entity list and location mapping dictionary, a unified association framework is constructed. This allows the central warehouse, temporary warehouse, secondary and tertiary warehouses to form repeatable and consistent calculations of inventory, pre-occupancy, and available inventory under the same state calculation rules. New entries in the ledger trigger a refresh of the digital twin warehouse control tower. This solidifies the temporal relationship of business events into operation execution / emergency operation criteria, enabling closed-loop processing of pre-deduction write-backs and reconciliation discrepancies for emergency requisitions. This improves the real-time performance and accuracy of inventory availability assessment, strengthens the reliability of cross-warehouse transfers and whole-package aligned procurement decisions, reduces supply disruption risks and near-expiration backlogs, and enhances end-to-end traceability and auditing capabilities.

[0076] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for optimizing hospital supply chain order data based on big data analysis, characterized in that: include, Business events in the SPD business chain are uniformly written into the order planning ledger, physical logistics ledger and temporary outbound ledger, and a digital twin warehouse control tower is generated simultaneously to visualize the business information in the SPD business chain. When an emergency temporary requisition occurs, the entire process item in the temporary outbound ledger is executed, and the emergency temporary requisitioned materials are pre-deducted to generate an available inventory caliber, which is then written back to the digital twin warehouse control tower. Read the inventory information list from the digital twin warehouse control tower, allocate and purchase various materials based on the inventory information list, generate purchase orders, and write them into the order plan ledger; Perform discrepancy reconciliation between the order planning ledger and the physical flow ledger, and update the digital twin warehouse control tower.

2. The hospital supply chain order data optimization method based on big data analysis as described in claim 1, characterized in that: The business events are uniformly recorded in the order planning ledger, physical flow ledger, and temporary outbound ledger. The specific steps are as follows. Based on the purchase order and the maintenance and monitoring of the safety quantity of fixed packages, generate planned order items and write each planned order item into the order plan ledger; Based on delivery orders, receiving orders, and loose goods receiving and shelving, generate actual action items and write the actual action items into the physical logistics ledger; Record the entire process of emergency temporary requisitions in the temporary outbound ledger.

3. The hospital supply chain order data optimization method based on big data analysis as described in claim 1, characterized in that: The specific steps for generating a digital twin warehouse control tower are as follows: The records in the order planning ledger, physical flow ledger and temporary outbound ledger are classified into each inventory entity to obtain the set of record items in each ledger; Based on the set of records in each ledger, a set of inventory status descriptions is fixed for each inventory entity; The digital twin warehouse control tower is obtained by summarizing the inventory status descriptions of each inventory entity.

4. The hospital supply chain order data optimization method based on big data analysis as described in claim 1, characterized in that: The specific steps for generating the available inventory caliber are as follows. Read the backfill reason from the temporary outbound ledger to obtain the type and quantity of outbound materials; Based on the type and quantity of outbound materials, the corresponding materials in the inventory entity are pre-deducted to obtain the book inventory of the corresponding materials, and the book inventory is used as the available inventory.

5. The hospital supply chain order data optimization method based on big data analysis as described in claim 1, characterized in that: The surplus information list refers to the list of materials obtained by calculating the gap and transferable quantity based on the inventory quantity, upper limit and lower limit of each material in each inventory entity, and summarizing the various materials according to the transferable quantity, gap and expiration date information.

6. The hospital supply chain order data optimization method based on big data analysis as described in claim 1, characterized in that: The specific steps for allocating and procuring various materials are as follows. For the same type of materials, the shortage quantity is sorted in the following order: emergency temporary release and priority for follow-up, priority for larger shortage, and priority for earlier expiration date. At the same time, the transferable quantity is sorted in the order of earlier expiration date. Based on the ranking of shortage and transferable quantities, materials are allocated among the various inventory entities; For materials that still have a shortage after being transferred between different inventory entities, the distribution units and inventory units should be aligned in whole packages, and the material procurement process should be carried out.

7. The method for optimizing hospital supply chain order data based on big data analysis as described in claim 1, characterized in that: The specific steps for reconciling discrepancies between the order planning ledger and the physical logistics ledger are as follows. Compare the quantity and time of receipt recorded in the physical logistics ledger with the promised delivery time and quantity recorded in the order planning ledger to see if they are consistent; If they match, the supplies will be distributed to the respective inventory entities. If there is a discrepancy, the distribution of materials will be suspended, and the supplier will be notified to reissue or resend the materials. This will be recorded in the order planning ledger and the physical flow ledger.

8. The hospital supply chain order data optimization method based on big data analysis as described in claim 3, characterized in that: The inventory status description set includes inventory definition, pre-occupancy definition, work plan definition, work execution definition, and emergency temporary requisition definition.

9. The hospital supply chain order data optimization method based on big data analysis as described in claim 3, characterized in that: The process of obtaining the record set of each ledger refers to classifying each record in the order planning ledger, physical flow ledger, and temporary outbound ledger to each inventory entity based on the matching relationship between the occurrence location field of each record in the order planning ledger, physical flow ledger, and temporary outbound ledger and the inventory entity identifier, thereby obtaining the order planning ledger record set, physical flow ledger record set, and temporary outbound ledger record set by inventory affiliation.

10. The hospital supply chain order data optimization method based on big data analysis as described in claim 3, characterized in that: The inventory entity list includes the inventory location and inventory identifier of the inventory entity; The inventory locations and inventory identifiers are in one-to-one correspondence; The inventory entities include central warehouses, temporary warehouses, secondary warehouses, and tertiary warehouses.

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