Order-driven Single-piece small-batch combined flow production method for processing workshop

A technology for processing workshops and production methods, applied to computer parts, collaborative devices, instruments, etc., can solve problems such as difficulty in parts distribution, lack of effective integration of information resources, and inability to locate and track

Inactive Publication Date: 2010-05-12
SOUTH CHINA UNIV OF TECH
View PDF0 Cites 100 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] 1) The existing planning and scheduling research is not well integrated with the actual workshop control, and only stays at the theoretical or ideal level, and there is still a considerable distance from the actual production demand; even if the static optimization problem of processing operations is solved, due to processing uncertainties (such as failure , delays) make this optimal job sequencing difficult to implement
[0012] 2) Most of the existing research adopts pure hierarchical control structure or pure distributed control structure, which is not conducive to actual control under the existing soft and hard environment.
[0013] 3) Lack of real-time information tracking of WIP and effective integration of various information resources
Many existing production workshops are still in the traditional manual operation or computer semi-automatic management stage, and the information processing of parts and work in progress still needs to be carried out manually by operators at all levels of the enterprise. Work-in-process management, but the filling workload is heavy, bills are easily lost and defaced, it is not convenient for statistics and accounting, and information such as parts, work-in-progress and product completion cannot be collected in time and transm

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Order-driven Single-piece small-batch combined flow production method for processing workshop
  • Order-driven Single-piece small-batch combined flow production method for processing workshop
  • Order-driven Single-piece small-batch combined flow production method for processing workshop

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0095] Example 1: Production example of 6 workpieces and 6 machines

[0096] There is an existing order for 6 workpieces. The order is non-preemptive processing and is processed by 6 machines. The order is processed normally. Each workpiece has the same processing priority. The performance index is the maximum processing completion time.

[0097] 6 workpiece numbers are J 1 , J 2 , J 3 , J 4 , J 5 , J 6 , while the workshop M 1 , M 2 , M 3 , M 4 , M 5 , M 6 A total of 6 machines process these 6 workpieces, and the processing time and processing sequence are shown in Table 1.

[0098] Table 1 embodiment production process data sheet

[0099]

[0100] As can be seen from Table 1, different workpieces J j The process route is different, the sequence of the processes contained in each workpiece is different, and the processing time varies with the processing unit. The processing time matrix T and processing constraint matrix M obtained by decomposing Table 1 are: ...

Embodiment 2

[0118] Example 2: Example of flexible production

[0119] In the flexible Job Shop scheduling problem, the processing paths of different workpieces are uncertain. Once the processing paths of the workpieces are determined, the flexible Job Shop scheduling problem can be transformed into a general Job Shop scheduling problem. Therefore, when solving the flexible Job Shop scheduling, a step-by-step solution method can be used. First, the processing paths of different workpieces are determined, and then the Job Shop scheduling problem is optimized under a certain processing path.

[0120] The determination of the processing path of each workpiece, that is, to determine on which machine each process of each workpiece is processed, belongs to the problem of resource allocation. Under a certain processing path, the scheduling problem of Job Shop belongs to the problem of task or job sequence. Therefore, flexible Job The shop scheduling problem also needs to solve the resource alloca...

Embodiment 3

[0125] Example 3: Insert Rush Order Example

[0126] There is an emergency order, and the planning module 100 evaluates the emergency order and indicates that urgent processing is required. For this purpose, the scheduling priority, process planning and constraints are sent to the scheduling module 200 through its communication interface 105; The urgent order of the planning module 100, according to the information of the parts to be processed and the equipment status information, calls the algorithm of the intelligent algorithm library (such as genetic algorithm) to optimize and decompose the task, generate a scheduling plan and write it into the RFID tag 502; An RFID tag 502 of production information is attached to the urgent workpiece to be processed.

[0127] Assume that 3 artifacts J of normal level are currently in progress i (i=1, 2, 3) 3 machines M k (k=1, 2, 3) flexible machining operations, now an emergency workpiece J with a higher priority needs to be inserted 4...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an order-driven single-piece small-batch combined flow production method for a processing workshop, which has high intellectualization degree and strong practicability. In the method, a manufacturing system of the processing workshop is divided into a planning module, a scheduling module, a system database, an upper RFID reader-writer and an equipment control layer, wherein the planning control module, the scheduling module and an equipment control unit are all realized by Agent (intelligent agent) technology. All the parts of the manufacturing system are connected into a multi-Agent (intelligent agent) manufacturing system through a network and a communication protocol. Under normal conditions, the system carries out machining according to a preset operation working procedure through static scheduling; and when the system is abnormal, the system completes a processing task through dynamic scheduling. Accordingly, staff members can dynamically master production process information in real time. The production method can effectively improve processing efficiency and reduce production cost.

Description

technical field [0001] The invention relates to a production management and control method in a processing workshop, in particular to an order-driven mixed-flow production method for workpieces. Background technique [0002] The manufacturing system is composed of manufacturing resources (including facilities, people, information, etc.), and these manufacturing resources are interdependent (constraints between manufacturing resources) through facility layout, production process flow, and production scheduling plans to achieve the production of specific products or provide specific services. The production floor is a typical manufacturing system. With the advancement of science and technology, the market competition is becoming more and more intense and there is a trend of internationalization. Consumers' demand for products is increasingly diversified and personalized, resulting in shorter and shorter product life cycles. The main multi-variety small batch production metho...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/00G06K17/00G06Q10/06
Inventor 姚锡凡董晓倩戴宏跃
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products