CN-121998349-A - Multi-system integrated wooden door manufacturing enterprise information system integration architecture and method

CN121998349ACN 121998349 ACN121998349 ACN 121998349ACN-121998349-A

Abstract

The invention discloses a multi-system integrated architecture and method for a wooden door manufacturing enterprise information system, which adopts a layered loose coupling design, and comprises an enterprise operation layer, a planning and scheduling layer and a manufacturing operation layer, wherein the enterprise operation layer comprises an enterprise resource planning system for order and financial management and a product life cycle management system for product model and process management, the planning and scheduling layer comprises an advanced planning and scheduling system which is used as a planning decision center and is used for carrying out limited production capacity simulation and optimization scheduling based on multi-source real-time data, the manufacturing operation layer comprises a manufacturing execution system for production execution and monitoring and a storage management system for material refinement management, and the full-flow digital penetration and intelligent linkage from customer order, product design, material supply, intelligent scheduling and manufacturing execution to storage logistics are realized by constructing a unified data model, adopting an event-driven loose coupling cooperative mechanism and establishing a middle platform for converging real-time manufacturing data.

Inventors

FENG XINHAO
WU ZHIHUI

Assignees

南京林业大学

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (10)

1. The utility model provides a timber manufacturing enterprise information system integrated architecture of multisystem integration adopts layering loose coupling design, its characterized in that includes: an enterprise operations layer including an Enterprise Resource Planning (ERP) system for order and financial management and a Product Lifecycle Management (PLM) system for product model and process management; The plan scheduling layer comprises an Advanced Planning and Scheduling (APS) system which is used as a plan decision center and is used for carrying out limited energy production simulation and optimizing scheduling based on multi-source real-time data; A manufacturing operation layer comprising a Manufacturing Execution System (MES) for production execution and monitoring and a Warehouse Management System (WMS) for fine material management; The field perception layer comprises a data acquisition and monitoring control (SCADA) system for monitoring key equipment and an internet of things (IoT) acquisition terminal for acquiring personnel, materials and environmental data; A core integration layer comprising: An Enterprise Service Bus (ESB) or Message Queue (MQ) for implementing event-based asynchronous, standardized messaging between systems; The unified data model and Main Data Management (MDM) module is used for defining and maintaining a whole-field main data standard and unified coding system of the cover materials, equipment, processes and orders and providing a semantic foundation for whole-system data interaction; The manufacturing data middle table is used for converging, cleaning, integrating and storing process data from the manufacturing operation layer and the site perception layer in real time to form a manufacturing data lake; The core integration layer is connected with and cooperated with the enterprise operation layer, the planning and scheduling layer, the manufacturing operation layer and the site perception layer through an event driving mechanism based on the unified data model and the enterprise service bus/message queue, so that automatic circulation and intelligent business cooperation of full-flow data of product delivery received from orders are realized.
2. The integrated architecture of claim 1, wherein the dynamic data input sources required for the scheduling calculations of the advanced planning and scheduling system include order requirement data from enterprise resource planning, process constraint data from product lifecycle management, real-time capacity and work-in-process status data from manufacturing execution systems, inventory data from warehouse management systems, and equipment real-time status data from data collection and monitoring control systems, thereby enabling accurate scheduling based on global real-time information.
3. The information system integration architecture of a multi-system converged wooden door manufacturing enterprise according to claim 1, wherein the manufacturing data lakes, themes, cover "people, machines, materials, methods, loops, survey" all elements and provide unified data services for the scheduling optimization, event-triggered dynamic re-scheduling, production big data analysis and visual monitoring of the advanced planning and scheduling system.
4. The information system integrated architecture of the multi-system integrated wooden door manufacturing enterprise according to claim 1, wherein the core integrated layer further comprises a security and operation and maintenance module for providing cross-layer data encryption transmission, fine-grain access authority control, monitoring of running states of all systems and full operation log audit functions, and guaranteeing the overall security and stability of the system.
5. The architecture of claim 1, wherein the event driven mechanism is specifically driven by a series of business events, the business events at least comprise order creation/change events, process data release events, production exception events, and equipment status events, and each system subscribes to events of interest through the enterprise service bus/message queue and automatically triggers a predefined business process when the events are released, thereby realizing loose coupling coordination across the systems.
6. A method of multi-system converged wooden door manufacturing enterprise information system integration architecture according to any one of claims 1 to 5, comprising the steps of: s1, initializing and synchronizing main data, uniformly defining coding and data models of materials, equipment and processes in a main data management module, synchronizing the coding and data models to each service system through a core integration layer, and ensuring data homology; S2, order-driven design, responding to order creation or change events in an enterprise resource planning system, automatically triggering a PLM system to carry out product configuration and process design through an event-driven mechanism, and distributing structured bill of materials (BOM) and process route (BOP) data to a manufacturing data center; S3, dynamic advanced planning and scheduling, wherein the advanced planning and scheduling system acquires real-time data from a manufacturing data center station and each associated system based on a preset period or event trigger, and performs limited energy production simulation scheduling under multiple constraint conditions to generate an optimized operation plan; s4, planning to accurately deliver, synchronously delivering the operation plan generated in the S3 to a manufacturing execution system and a warehouse management system through a core integration layer, converting the manufacturing execution system into a specific work order, delivering the specific work order to a work station, and converting the specific work order into a material delivery instruction by the warehouse management system; S5, performing full-flow execution and real-time data acquisition, wherein in the production execution process, a manufacturing execution system guides on-site operation, a warehouse management system performs material distribution, SCADA and IoT equipment acquire production, equipment and quality data in real time and upload the data to a manufacturing execution system and a manufacturing data center; S6, feeding back and dynamically adjusting a closed loop in real time, and feeding back the production state to the advanced planning and scheduling system and the enterprise resource planning system in real time by the manufacturing execution system; And S7, closing an order and business, triggering finished product reporting by the manufacturing execution system after production is completed, executing finished product warehousing by the warehouse management system, sending an order completion event to the enterprise resource planning system, and automatically completing cost accounting and order state closing by the enterprise resource planning system.
7. The method for integrating information system architecture of multi-system converged wooden door manufacturing enterprise information system according to claim 6, wherein the events in S2 and S3 include, but are not limited to, order event, process data issue event, equipment exception event, material shortage event, all of which are issued and subscribed through enterprise service bus/message queue, realizing automatic triggering and response of cross-system traffic flow.
8. The method for integrating information system architecture of multi-system integrated wooden door manufacturing enterprises according to claim 6, wherein the production abnormal events in S6 comprise equipment faults, poor materials, quality parameter exceeding and man-hour deviation, and the advanced planning and scheduling system subscribes to the events and triggers re-planning calculation, generates an adjusted operation plan and re-issues.
9. The method for integrating information system architecture of multi-system integrated wooden door manufacturing enterprises according to claim 6, wherein in S5, the data collected by the SCADA system and IoT devices comprises device spindle rotation speed, running power, coordinate position, vibration value, temperature, material RFID information, process scanning information and quality detection results, and the data are collected in a manufacturing data center in real time to provide a data base for production process transparency and full life cycle tracing.
10. The method for integrating the information system architecture of the wooden door manufacturing enterprise with the multi-system fusion system according to claim 6, wherein all data interaction of the whole system is performed based on the unified data model, so that a core business entity is ensured to have unique identification and consistent semantics in the whole system, data ambiguity is eliminated from the source, and accurate and seamless automatic transfer of cross-system data is realized.

Description

Multi-system integrated wooden door manufacturing enterprise information system integration architecture and method Technical Field The invention relates to the technical field of enterprise information systems, in particular to an integrated architecture and method for a multi-system integrated wooden door manufacturing enterprise information system. Background Currently, the wooden door manufacturing industry is transitioning from traditional mass production modes to small-lot, multi-variety, personalized, customized intelligent manufacturing modes. In this process, many enterprises have successively introduced information systems based on Product Lifecycle Management (PLM), enterprise Resource Planning (ERP), manufacturing Execution Systems (MES), warehouse Management Systems (WMSs), etc. to raise the level of management. However, the following prominent problems are common in practical applications in the prior art solutions: (1) The inter-system 'information island' phenomenon is serious. Each system is independently deployed, the data standard is not uniform, the interfaces are mostly in a point-to-point hard coding mode, and the data cannot be automatically and accurately circulated. For example, the order change in the ERP can not be synchronized to the MES in real time, and the production performance data of the MES can be fed back to the ERP by a manual input party to carry out cost accounting, so that the efficiency is low and the error is easy to occur. (2) The production plan is severely disjointed from the site execution. While macroscopic material demand planning (MRP) based on unlimited capacity is difficult to cope with dynamic complex conditions (such as equipment sudden faults, material supply delay and temporary process change) of a production site, an APS system lacking real-time data input often has unmatched production results and actual capacity, and has poor performability. (3) The production process is opaque, forming a "black box". The management layer is difficult to master the order progress, the product distribution, the equipment comprehensive efficiency (OEE) and the key quality parameters accurately in real time, and the decision-making lacks effective data support, so that the problem tracing is difficult. (4) The overall flexible response capability is inadequate. In the face of frequent customer order change, urgent bill insertion or design adjustment, the existing stiff system architecture is difficult to realize rapid collaborative linkage from design, planning and material to production, the whole adjustment period is long, and the agility requirement of a customized market cannot be met. The reason for this is that there is a lack of a top-level integration architecture and method that can achieve data semantic unification, business automation collaboration, and support real-time decisions. In the prior art, the system integration adopts a point-to-point hard coding interface mode, the coupling degree among the systems is high, the expansibility is poor, the maintenance cost is high, and the core requirements of the intelligent manufacturing of the customized wooden door on the whole process integration, real-time, transparency and flexibility can not be supported. Disclosure of Invention (One) solving the technical problems Aiming at the defects of the prior art, the invention provides an information system integration architecture and method for a multi-system deep fusion wood door manufacturing enterprise. The invention aims to realize full-flow digital penetration and intelligent linkage from customer orders, product design, material supply, intelligent scheduling and manufacturing execution to storage logistics by constructing a unified data model, adopting an event-driven loose coupling cooperative mechanism and establishing a middle platform for converging real-time manufacturing data, thereby effectively breaking an information island, realizing accurate matching of planning and execution, improving transparency and traceability of a production process and remarkably enhancing the overall flexible manufacturing capability of enterprises for coping with customized and diversified production demands. (II) technical scheme In order to achieve the purpose, the technical scheme of the invention is that the information system integrated architecture of the multi-system integrated wooden door manufacturing enterprise adopts a layered loose coupling design and comprises the following steps: an enterprise operations layer including an Enterprise Resource Planning (ERP) system for order and financial management and a Product Lifecycle Management (PLM) system for product model and process management; The plan scheduling layer comprises an Advanced Planning and Scheduling (APS) system which is used as a plan decision center and is used for carrying out limited energy production simulation and optimizing scheduling based on multi-source real-time data; A manufacturing oper