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

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...

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 transmitted to the upper management information system (such as MES, ERP, etc.) etc.); although some production workshops use paper barcodes, the barcodes need to be pasted multiple times in the production process, and the stored information is very limited and cannot be written again. The loss of production information leads to the fact that the data collected on site cannot truly reflect the actual production progress, resulting in a serious lag in the interaction of production information, resulting in the failure of the upper system to fully reflect the management effectiveness

[0014] 4) There is a common production imbalance in the production workshop. For the flexible mixed-flow production of different products, the distribution of parts is difficult to synchronize, and the assembly of product parts is prone to errors, resulting in low production efficiency.

[0015] 5) In the process of production and assembly of parts, station skipping and missing stations occur from time to time, resulting in unstable product quality

Quality information is distributed in various management links and even each station. Since the relationship between finished products and assembled parts has not been established, quality problems are difficult to locate and track. root of the problem

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