CN117709891A - Intelligent workflow automation system based on ERP and MES integration - Google Patents
Intelligent workflow automation system based on ERP and MES integration Download PDFInfo
- Publication number
- CN117709891A CN117709891A CN202311765794.6A CN202311765794A CN117709891A CN 117709891 A CN117709891 A CN 117709891A CN 202311765794 A CN202311765794 A CN 202311765794A CN 117709891 A CN117709891 A CN 117709891A
- Authority
- CN
- China
- Prior art keywords
- task
- queue
- executable
- processor
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000010354 integration Effects 0.000 title claims abstract description 31
- 238000004519 manufacturing process Methods 0.000 claims abstract description 60
- 238000012544 monitoring process Methods 0.000 claims abstract description 32
- 239000000463 material Substances 0.000 claims abstract description 23
- 230000003993 interaction Effects 0.000 claims abstract description 20
- 238000007726 management method Methods 0.000 claims description 55
- 238000004458 analytical method Methods 0.000 claims description 24
- 238000000034 method Methods 0.000 claims description 19
- 239000002994 raw material Substances 0.000 claims description 17
- 238000003860 storage Methods 0.000 claims description 17
- 238000006243 chemical reaction Methods 0.000 claims description 15
- 238000003032 molecular docking Methods 0.000 claims description 9
- 230000000007 visual effect Effects 0.000 claims description 8
- 238000012163 sequencing technique Methods 0.000 claims description 7
- 238000010586 diagram Methods 0.000 description 5
- 238000001514 detection method Methods 0.000 description 2
- 238000009776 industrial production Methods 0.000 description 2
- 210000001503 joint Anatomy 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Primary Health Care (AREA)
- Educational Administration (AREA)
- Manufacturing & Machinery (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Data Mining & Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- General Factory Administration (AREA)
Abstract
The invention provides an intelligent workflow automation system based on ERP and MES integration, which relates to the field of electric digital data processing and comprises a data integration management module, an intelligent workflow engine module, a real-time monitoring feedback module and a user interaction cooperation module, wherein the data integration management module is used for interfacing an ERP system and an MES system and receiving data, the intelligent workflow engine module is used for making automatic decisions of tasks, the real-time monitoring feedback module is used for monitoring the execution condition of each task and carrying out problem feedback, and the user interaction cooperation module is used for visualizing task information and providing cooperation tools; the system automatically arranges tasks for the production line by analyzing the material stock and the consumption and output conditions of each work task, thereby improving the efficiency of the whole production flow.
Description
Technical Field
The invention relates to the field of electric digital data processing, in particular to an intelligent workflow automation system based on ERP and MES integration.
Background
In industrial production, the arrangement of production tasks directly affects the whole production efficiency, and in the current situation, production tasks are usually arranged by staff according to experience, so that the production efficiency is unstable and depends too much on the experience and state of the staff, therefore, a system is needed to replace manpower to arrange the production tasks, not only can reduce the management cost, but also can improve and stabilize the production efficiency.
The foregoing discussion of the background art is intended to facilitate an understanding of the present invention only. This discussion is not an admission or admission that any of the material referred to was common general knowledge.
Many process management systems have been developed, and a great deal of searching and referencing are performed to find that an existing process management system has a system as disclosed in publication number CN111724046B, where the system generally includes a process engine and a splitting device, the process engine is configured to perform a circulation process of at least one service data according to a plurality of process checkpoints set in an original service process in units of a form, the splitting device is configured in the original service process, and when the at least one service data flows to the splitting device, the splitting device groups the at least one service data to generate at least one service data group, and initiates at least one new service process, where the original service process and the at least one new service process are respectively formed by the same plurality of process checkpoints, and the process engine splits the at least one service data group into the at least one new service process. However, the system does not involve resources in flow management and is not suitable for flow management of industrial production.
Disclosure of Invention
The invention aims to provide an intelligent workflow automation system based on ERP and MES integration aiming at the defects.
The invention adopts the following technical scheme:
an intelligent workflow automation system based on ERP and MES integration comprises a data integration management module, an intelligent workflow engine module, a real-time monitoring feedback module and a user interaction cooperation module;
the system comprises a data integration management module, an intelligent workflow engine module, a real-time monitoring feedback module, a user interaction collaboration module and a collaboration tool, wherein the data integration management module is used for interfacing an ERP system and an MES system and receiving data, the intelligent workflow engine module is used for making automatic decisions of tasks, the real-time monitoring feedback module is used for monitoring the execution condition of each task and making problem feedback, and the user interaction collaboration module is used for visualizing task information and providing collaboration tools;
the data integration management module comprises an ERP processing unit and an MES processing unit, wherein the ERP processing unit is used for docking the ERP system and receiving and processing resource data transmitted by the ERP system, and the MES processing unit is used for docking the MES system and receiving and processing manufacturing data transmitted by the MES system;
the intelligent workflow engine module comprises a task generating unit, a queue management unit and a task conveying unit, wherein the task generating unit generates executable tasks according to resource data, the queue management unit manages the ordering of the executable tasks in a queue, and the task conveying unit sends the executable tasks to an MES system;
the real-time monitoring feedback module comprises a state monitoring analysis unit and a feedback alarm unit, wherein the state monitoring analysis unit is used for analyzing the running state of the production equipment based on the manufacturing data, and the feedback alarm unit is used for generating alarm information according to the analysis result;
the user interaction cooperation module comprises a visual processing unit and a task cooperation processing unit, wherein the visual processing unit is used for displaying real-time data of all executable tasks, and the task cooperation processing unit is used for managing the executable tasks distributed by a user;
further, the task generating unit comprises a resource matching processor, a production task generating processor and a purchasing task generating processor, wherein the resource matching processor is used for matching according to the analysis result of the resource analysis processor, the production task generating processor is used for generating an executable task and an unexecutable task according to the matching result, and the purchasing task generating processor is used for generating a purchasing task according to the information in the unexecutable task;
further, the queue management unit comprises a queue classification processor, a queue register and a sequencing management processor, wherein the queue register is provided with a plurality of queue storage areas, each queue storage area corresponds to an actual production line and is used for recording executable task information contained in each queue, the queue classification processor is used for identifying raw materials and product types in the executable tasks and placing the executable tasks in the corresponding queue storage areas, and the sequencing management processor is used for controlling and managing the sequence of the executable tasks in each queue;
further, the ranking management processor calculates an urgency index P for each executable task according to the following equation:
wherein T is 1 Production time, T, required to complete an executable task 2 Ec is an economic coefficient of executable task for the remaining time from the limit time, V 1 A supply value of the material produced for the executable task, k being a conversion coefficient;
the ordering management processor orders the executable tasks in each queue from large to small according to the emergency index;
further, the queue management unit further comprises a task conversion processor, wherein the task conversion processor is used for converting the non-executable task in the queue register into an executable task and transferring the executable task to a corresponding queue storage region through the queue classification processor;
the process of converting the non-executable task by the task conversion processor comprises the following steps:
s21, receiving inventory update data, marking a corresponding non-executable task as a task to be transferred when the stock quantity of the material meets the raw material requirement of the non-executable task, and entering into a step S22;
s22, counting the total production time of the queue corresponding to the task to be transferred, and marking as T 1 (i) I represents a queue number;
S23、will T 1 (i) And sending the task to be transferred with the earliest limiting time in the tasks to be transferred corresponding to the smallest queue to a queue classification processor, updating the stock based on the material information of the task to be transferred, clearing the mark of the task to be transferred, and returning to the step S21.
The beneficial effects obtained by the invention are as follows:
the system acquires data through the butt joint ERP system and the MES system, provides a data basis for subsequent decision management, divides the tasks into executable tasks and non-executable tasks according to the stock condition of raw materials when the tasks are arranged, analyzes the executable tasks according to specific conditions and then sorts the executable tasks, converts the non-executable tasks into the executable tasks in real time according to purchasing conditions, reduces the shelving rate of each production line, ensures that all the tasks can be successfully completed under the required conditions, and improves the production efficiency.
For a further understanding of the nature and the technical aspects of the present invention, reference should be made to the following detailed description of the invention and the accompanying drawings, which are provided for purposes of reference only and are not intended to limit the invention.
Drawings
FIG. 1 is a schematic diagram of the overall structural framework of the present invention;
FIG. 2 is a schematic diagram of the intelligent workflow engine module of the present invention;
FIG. 3 is a schematic diagram of the task generating unit of the present invention;
FIG. 4 is a schematic diagram of a queue management unit according to the present invention;
fig. 5 is a schematic diagram of the task transportation unit according to the present invention.
Detailed Description
The following embodiments of the present invention are described in terms of specific examples, and those skilled in the art will appreciate the advantages and effects of the present invention from the disclosure herein. The invention is capable of other and different embodiments and its several details are capable of modification and variation in various respects, all without departing from the spirit of the present invention. The drawings of the present invention are merely schematic illustrations, and are not intended to be drawn to actual dimensions. The following embodiments will further illustrate the related art content of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
Embodiment one.
The embodiment provides an intelligent workflow automation system based on ERP and MES integration, which comprises a data integration management module, an intelligent workflow engine module, a real-time monitoring feedback module and a user interaction cooperation module in combination with FIG. 1;
the system comprises a data integration management module, an intelligent workflow engine module, a real-time monitoring feedback module, a user interaction collaboration module and a collaboration tool, wherein the data integration management module is used for interfacing an ERP system and an MES system and receiving data, the intelligent workflow engine module is used for making automatic decisions of tasks, the real-time monitoring feedback module is used for monitoring the execution condition of each task and making problem feedback, and the user interaction collaboration module is used for visualizing task information and providing collaboration tools;
the data integration management module comprises an ERP processing unit and an MES processing unit, wherein the ERP processing unit is used for docking the ERP system and receiving and processing resource data transmitted by the ERP system, and the MES processing unit is used for docking the MES system and receiving and processing manufacturing data transmitted by the MES system;
the intelligent workflow engine module comprises a task generating unit, a queue management unit and a task conveying unit, wherein the task generating unit generates executable tasks according to resource data, the queue management unit manages the ordering of the executable tasks in a queue, and the task conveying unit sends the executable tasks to an MES system;
the real-time monitoring feedback module comprises a state monitoring analysis unit and a feedback alarm unit, wherein the state monitoring analysis unit is used for analyzing the running state of the production equipment based on the manufacturing data, and the feedback alarm unit is used for generating alarm information according to the analysis result;
the user interaction cooperation module comprises a visual processing unit and a task cooperation processing unit, wherein the visual processing unit is used for displaying real-time data of all executable tasks, and the task cooperation processing unit is used for managing the executable tasks distributed by a user;
the task generating unit comprises a resource matching processor, a production task generating processor and a purchasing task generating processor, wherein the resource matching processor is used for matching according to the analysis result of the resource analysis processor, the production task generating processor is used for generating an executable task and a non-executable task according to the matching result, and the purchasing task generating processor is used for generating a purchasing task according to the information in the non-executable task;
the queue management unit comprises a queue classification processor, a queue register and a sequencing management processor, wherein the queue register is provided with a plurality of queue storage areas, each queue storage area corresponds to an actual production line and is used for recording executable task information contained in each queue, the queue classification processor is used for identifying raw materials and product types in executable tasks and placing the executable tasks in the corresponding queue storage areas, and the sequencing management processor is used for controlling and managing the sequence of the executable tasks in each queue;
the ranking management processor calculates an urgency index P for each executable task according to the following equation:
wherein T is 1 Production time, T, required to complete an executable task 2 Ec is an economic coefficient of executable task for the remaining time from the limit time, V 1 A supply value of the material produced for the executable task, k being a conversion coefficient;
the ordering management processor orders the executable tasks in each queue from large to small according to the emergency index;
the queue management unit also comprises a task conversion processor, wherein the task conversion processor is used for converting the non-executable task in the queue register into an executable task and transferring the executable task to a corresponding queue storage area through the queue classification processor;
the process of converting the non-executable task by the task conversion processor comprises the following steps:
s21, receiving inventory update data, marking a corresponding non-executable task as a task to be transferred when the stock quantity of the material meets the raw material requirement of the non-executable task, and entering into a step S22;
s22, counting the total production time of the queue corresponding to the task to be transferred, and marking as T 1 (i) I represents a queue number;
s23, T 1 (i) And sending the task to be transferred with the earliest limiting time in the tasks to be transferred corresponding to the smallest queue to a queue classification processor, updating the stock based on the material information of the task to be transferred, clearing the mark of the task to be transferred, and returning to the step S21.
Embodiment two.
The embodiment comprises the whole content of the first embodiment, and provides an intelligent workflow automation system based on ERP and MES integration, which comprises a data integration management module, an intelligent workflow engine module, a real-time monitoring feedback module and a user interaction cooperation module;
the system comprises a data integration management module, an intelligent workflow engine module, a real-time monitoring feedback module, a user interaction collaboration module and a collaboration tool, wherein the data integration management module is used for interfacing an ERP system and an MES system and receiving data, the intelligent workflow engine module is used for making automatic decisions of tasks, the real-time monitoring feedback module is used for monitoring the execution condition of each task and making problem feedback, and the user interaction collaboration module is used for visualizing task information and providing collaboration tools;
the data integration management module comprises an ERP processing unit and an MES processing unit, wherein the ERP processing unit is used for docking the ERP system and receiving and processing resource data transmitted by the ERP system, and the MES processing unit is used for docking the MES system and receiving and processing manufacturing data transmitted by the MES system;
referring to fig. 2, the intelligent workflow engine module includes a task generating unit, a queue management unit and a task delivery unit, wherein the task generating unit generates executable tasks according to resource data, the queue management unit manages the ordering of the executable tasks in a queue, and the task delivery unit sends the executable tasks to an MES system;
the real-time monitoring feedback module comprises a state monitoring analysis unit and a feedback alarm unit, wherein the state monitoring analysis unit is used for analyzing the running state of the production equipment based on the manufacturing data, and the feedback alarm unit is used for generating alarm information according to the analysis result;
the user interaction cooperation module comprises a visual processing unit and a task cooperation processing unit, wherein the visual processing unit is used for displaying real-time data of all executable tasks, and the task cooperation processing unit is used for managing the executable tasks distributed by a user;
the ERP processing unit comprises a first data connection processor, a resource data register and a resource analysis processor, wherein the first data connection processor is used for completing docking with an ERP system and performing data interaction, the resource data register is used for storing resource data received from the ERP system, and the resource analysis processor is used for analyzing the received resource data;
the resource analysis processor disassembles project data into a plurality of task packages, each task package comprises a package name, raw material information, output information and limiting time, the package name is composed of a project number and a task number, the task package names obtained by disassembling the same project have the same project number, the raw material information comprises raw material types and quantity required by completing the task, the output information comprises product types and quantity obtained after completing the task, and the limiting time is the final time limit of completing the task;
the raw materials and the products are collectively called as materials, and the resource analysis processor obtains the stock quantity of all materials according to the supply chain data statistics;
the MES processing unit comprises a second data link processor and a manufacturing data register, wherein the second data link processor is used for completing the butt joint with the MES system and performing data interaction, and the manufacturing data register is used for storing manufacturing data received from the MES system;
referring to fig. 3, the task generating unit includes a resource matching processor, a production task generating processor and a purchasing task generating processor, where the resource matching processor performs matching according to an analysis result of the resource analysis processor, the production task generating processor generates an executable task and a non-executable task according to the matching result, and the purchasing task generating processor generates a purchasing task according to information in the non-executable task;
the matching process of the resource matching processor comprises the following steps:
s1, sequencing task packages according to the sequence of the limited time to generate a task package queue;
s2, acquiring a task package from the task queue package, and processing the stock quantity of the materials according to the following formula:
Vrmn＝Vrmo-Vcs；
Vptn＝Vpto+Vpd；
wherein Vrmo is the old stock quantity of the raw materials in the task package, vcs is the consumption quantity of the raw materials in the task package, vrmn is the new stock quantity of the raw materials in the task package, vpto is the old stock quantity of the products in the task package, vpd is the production quantity of the products in the task package, and Vtn is the new stock quantity of the products in the task package;
s3, when Vrmn is greater than or equal to 0, marking the task packet as successful in matching, replacing and updating the values of Vrmn and Vpt to Vrmo and Vpto, when Vrmn is less than 0, marking the task packet as unsuccessful in matching, and not updating the values of Vrmo and Vpto, and sending the task packet to the production task generation processor;
s4, repeating the step S2 and the step S3 until all task packets in the task packet queue are marked;
the production task generation processor converts the successfully matched task package into an executable task according to the marking information of the task package, and converts the unsuccessfully matched task package into an inexecutable task;
the purchasing task generating processor counts the quantity of the materials in the non-executable task, subtracts the quantity of the materials from the corresponding stock quantity of the materials to obtain a missing value of the materials, and generates a purchasing task of the corresponding materials based on the missing value;
referring to fig. 4, the queue management unit includes a queue classification processor, a queue register, and a sorting management processor, where the queue register is provided with a plurality of queue storage areas, each queue storage area corresponds to an actual production line, and is used to record executable task information contained in each queue, the queue classification processor is used to identify raw materials and product types in the executable task and place the executable task in the corresponding queue storage area, and the sorting management processor is used to control and manage the order of the executable task in each queue;
the queue register is provided with a storage area which is different from a queue and is used for storing non-executable task information;
the ranking management processor calculates an urgency index P for each executable task according to the following equation:
wherein T is 1 Production time, T, required to complete an executable task 2 Ec is an economic coefficient of executable task for the remaining time from the limit time, V 1 A supply value of the material produced for the executable task, k being a conversion coefficient;
the supply value refers to the total amount of material as raw material in all executable tasks;
the ordering management processor orders the executable tasks in each queue from large to small according to the emergency index;
referring to fig. 5, the task delivery unit includes a line detection processor and a task data delivery processor, where the line detection processor is configured to obtain manufacturing data from the manufacturing analysis processor and determine whether each line completes a production job of an executable task, and a line completing the production job of the executable task is referred to as a target line, and the task data delivery processor is configured to obtain data of the executable task from the queue and send the data to the target line;
the queue management unit also comprises a task conversion processor, wherein the task conversion processor is used for converting the non-executable task in the queue register into an executable task and transferring the executable task to a corresponding queue storage area through the queue classification processor;
the process of converting the non-executable task by the task conversion processor comprises the following steps:
s21, receiving inventory update data, marking a corresponding non-executable task as a task to be transferred when the stock quantity of the material meets the raw material requirement of the non-executable task, and entering into a step S22;
s22, counting the total production time of the queue corresponding to the task to be transferred, and marking as T 1 (i) I represents a queue number;
s23, T 1 (i) The task to be transferred with the earliest limiting time in the tasks to be transferred corresponding to the smallest queue is sent to a queue classification processor, the stock is updated based on the material information of the task to be transferred, the mark of the task to be transferred is cleared, and the step S21 is returned;
the state monitoring and analyzing unit calculates the relative speed v (i) of each production line according to the manufacturing data:
where v is the actual unit throughput in the manufacturing data, v 0 Is a standard unit throughput;
because the queues and the production lines have a one-to-one correspondence, the production lines and the queues share the same set of serial numbers;
when the relative speed is 1, the production line is normally operated, when the relative speed is 0, the production line stops operating, and when the relative speed is less than 1, the production line is abnormal;
and when the relative speed is smaller than the threshold value, the feedback alarm unit sends alarm information to the corresponding staff.
The foregoing disclosure is only a preferred embodiment of the present invention and is not intended to limit the scope of the invention, so that all equivalent technical changes made by applying the description of the present invention and the accompanying drawings are included in the scope of the present invention, and in addition, elements in the present invention can be updated as the technology develops.
Claims (5)
1. An intelligent workflow automation system based on ERP and MES integration is characterized by comprising a data integration management module, an intelligent workflow engine module, a real-time monitoring feedback module and a user interaction cooperation module;
the system comprises a data integration management module, an intelligent workflow engine module, a real-time monitoring feedback module, a user interaction collaboration module and a collaboration tool, wherein the data integration management module is used for interfacing an ERP system and an MES system and receiving data, the intelligent workflow engine module is used for making automatic decisions of tasks, the real-time monitoring feedback module is used for monitoring the execution condition of each task and making problem feedback, and the user interaction collaboration module is used for visualizing task information and providing collaboration tools;
the data integration management module comprises an ERP processing unit and an MES processing unit, wherein the ERP processing unit is used for docking the ERP system and receiving and processing resource data transmitted by the ERP system, and the MES processing unit is used for docking the MES system and receiving and processing manufacturing data transmitted by the MES system;
the intelligent workflow engine module comprises a task generating unit, a queue management unit and a task conveying unit, wherein the task generating unit generates executable tasks according to resource data, the queue management unit manages the ordering of the executable tasks in a queue, and the task conveying unit sends the executable tasks to an MES system;
the real-time monitoring feedback module comprises a state monitoring analysis unit and a feedback alarm unit, wherein the state monitoring analysis unit is used for analyzing the running state of the production equipment based on the manufacturing data, and the feedback alarm unit is used for generating alarm information according to the analysis result;
the user interaction cooperation module comprises a visual processing unit and a task cooperation processing unit, wherein the visual processing unit is used for displaying real-time data of all executable tasks, and the task cooperation processing unit is used for managing the executable tasks distributed by a user.
2. The intelligent workflow automation system based on ERP and MES integration according to claim 1, wherein the task generating unit comprises a resource matching processor, a production task generating processor and a purchasing task generating processor, the resource matching processor performs matching according to the analysis result of the resource analyzing processor, the production task generating processor generates an executable task and a non-executable task according to the matching result, and the purchasing task generating processor generates a purchasing task according to the information in the non-executable task.
3. The intelligent workflow automation system based on ERP and MES integration as claimed in claim 2, wherein the queue management unit comprises a queue classification processor, a queue register, and a sequencing management processor, the queue register is provided with a plurality of queue storage areas, each queue storage area corresponds to an actual production line and is used for recording executable task information contained in each queue, the queue classification processor is used for identifying raw materials and product types in the executable tasks and placing the executable tasks in the corresponding queue storage areas, and the sequencing management processor is used for controlling and managing the sequence of the executable tasks in each queue.
4. An intelligent workflow automation system based on ERP and MES integration as claimed in claim 3, wherein the order management processor calculates the urgency index P for each executable task according to the following formula:
wherein T is 1 Production time, T, required to complete an executable task 2 Ec is an economic coefficient of executable task for the remaining time from the limit time, V 1 A supply value of the material produced for the executable task, k being a conversion coefficient;
the ordering management processor orders the executable tasks in each queue from large to small according to the urgency index.
5. The intelligent workflow automation system based on ERP and MES integration of claim 4, wherein the queue management unit further comprises a task conversion processor for converting non-executable tasks in a queue register into executable tasks and transferring to corresponding queue storage regions by the queue classification processor;
the process of converting the non-executable task by the task conversion processor comprises the following steps:
s21, receiving inventory update data, marking a corresponding non-executable task as a task to be transferred when the stock quantity of the material meets the raw material requirement of the non-executable task, and entering into a step S22;
s22, counting the total production time of the queue corresponding to the task to be transferred, and marking as T 1 (i) I represents a queue number;
s23, T 1 (i) And sending the task to be transferred with the earliest limiting time in the tasks to be transferred corresponding to the smallest queue to a queue classification processor, updating the stock based on the material information of the task to be transferred, clearing the mark of the task to be transferred, and returning to the step S21.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311765794.6A CN117709891B (en) | 2023-12-21 | 2023-12-21 | Intelligent workflow automation system based on ERP and MES integration |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311765794.6A CN117709891B (en) | 2023-12-21 | 2023-12-21 | Intelligent workflow automation system based on ERP and MES integration |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117709891A true CN117709891A (en) | 2024-03-15 |
| CN117709891B CN117709891B (en) | 2024-06-07 |
Family
ID=90162127
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311765794.6A Active CN117709891B (en) | 2023-12-21 | 2023-12-21 | Intelligent workflow automation system based on ERP and MES integration |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117709891B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160070258A1 (en) * | 2014-09-09 | 2016-03-10 | Siemens Aktiengesellschaft | Method for increasing the work performance of a manufacturing executing system (mes) and an enterprise resource planning system (erp) |
| KR20190134879A (en) * | 2018-05-03 | 2019-12-05 | 손영욱 | Method for cloud service based customized smart factory mes integrated service using ai and speech recognition |
| CN112147979A (en) * | 2020-09-22 | 2020-12-29 | 北京新风航天装备有限公司 | Machining online detection method based on three-dimensional model integrated application |
| CN115081868A (en) * | 2022-06-20 | 2022-09-20 | 青岛优云智联科技有限公司 | ERP and MES management service system for service process and pushing method thereof |
| CN116228118A (en) * | 2022-12-01 | 2023-06-06 | 上海卫星装备研究所 | Spacecraft production control method and system based on flexible workflow |
-
2023
- 2023-12-21 CN CN202311765794.6A patent/CN117709891B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160070258A1 (en) * | 2014-09-09 | 2016-03-10 | Siemens Aktiengesellschaft | Method for increasing the work performance of a manufacturing executing system (mes) and an enterprise resource planning system (erp) |
| KR20190134879A (en) * | 2018-05-03 | 2019-12-05 | 손영욱 | Method for cloud service based customized smart factory mes integrated service using ai and speech recognition |
| CN112147979A (en) * | 2020-09-22 | 2020-12-29 | 北京新风航天装备有限公司 | Machining online detection method based on three-dimensional model integrated application |
| CN115081868A (en) * | 2022-06-20 | 2022-09-20 | 青岛优云智联科技有限公司 | ERP and MES management service system for service process and pushing method thereof |
| CN116228118A (en) * | 2022-12-01 | 2023-06-06 | 上海卫星装备研究所 | Spacecraft production control method and system based on flexible workflow |
Non-Patent Citations (2)
| Title |
|---|
| 贾见士: "离散制造业MES/ERP的信息集成研究", 中国优秀硕士学位论文全文数据库信息科技辑, no. 2, 15 August 2007 (2007-08-15), pages 49 - 58 * |
| 邵扬;马杰;王森;饶忠炜;刘丽兰;: "制药企业MES与ERP的集成技术及应用", 工业控制计算机, no. 07, 25 July 2016 (2016-07-25), pages 122 - 123 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117709891B (en) | 2024-06-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2019090264A1 (en) | Real time anomaly detection systems and methods | |
| CN112446526B (en) | Production scheduling system and method | |
| Agrawal | REVIEW ON JUST IN TIME TECHNIQUES IN MANUFACTURING SYSTEMS. | |
| CN102646220A (en) | Multi-network-based manufacturing data real-time process management system and management method in ship manufacturing industry | |
| CN113519009A (en) | Industrial manufacturing resource sharing method, device and system based on block chain | |
| CN115687470B (en) | Enterprise management method and system based on cloud platform | |
| CN116569118A (en) | Information management method and device | |
| KR20150137704A (en) | Management system and method for project | |
| Nalgozhina et al. | Automating hybrid business processes with RPA: optimizing warehouse management | |
| CN117709891B (en) | Intelligent workflow automation system based on ERP and MES integration | |
| Busch et al. | Short paper: Development of production planning and control through the empowerment of Artificial Intelligence | |
| CN205762407U (en) | A kind of electric automatic Picking System of business based on barcode scanner | |
| CN117236637A (en) | Internet logistics scheduling method, system, equipment and storage medium based on artificial intelligence industry | |
| US8812336B2 (en) | Providing real-time test ahead work direction for manufacturing optimization | |
| CN116452150A (en) | Project information collaborative management system | |
| CN114612005B (en) | Glass factory digital intelligent system based on SaaS realization | |
| WO2022144082A1 (en) | Method for monitoring a continuous industrial process and system for performing said method | |
| Seifermann et al. | Flexible design of lean production systems in response to fluctuations due to logistics and traffic | |
| CN116976610B (en) | Intelligent scheduling system and method based on 5G technology | |
| CN114137921B (en) | Real-time allocation system and allocation method for intelligent production workshop of sanitary equipment | |
| CN118396507B (en) | Logistics information processing method and system based on RPA and AI | |
| Sreeram et al. | The Flow Junction Model as a Fundamental Element of Cyber-Collaborative Future Work Systems and Networks: A Research Overview | |
| CN213634560U (en) | Intelligent management system for logistics transportation data information | |
| CN118505202A (en) | Equipment intelligent operation and maintenance management method based on identification analysis | |
| Moradi | Application of Digital-Twin Technology for the Job-Shop Scheduling Problem |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |