Management and control optimizing method of discrete manufacture production

Abstract

The invention relates to a management and control optimizing method of discrete manufacture production, which comprises the following steps of: 1, classifying received production orders into following three classes: class A: items must manufactured per se; class B: items manufactured per se or in cooperation with others; and class C: items must manufactured in cooperation with others; 2, further classifying the class B including items manufactured per se or in cooperation with others into items manufactured in cooperation with others and items manufactured per se; 3, respectively issuing production tasks to corresponding cooperation or self manufactured production executing departments; and 4, carrying out optimal scheduling production on the self manufactured production tasks according to production conditions of current equipment, workers, raw materials, date of delivery, and the like. Compared with the prior art, the invention has the advantages and the technical characteristics of simple operation, easy implementation, wide application, convenient use and the like.

Description

technical field [0001] The production management and control optimization method of the discrete manufacturing industry of the present invention belongs to the field of discrete manufacturing and computer technology applications. It is mainly used in the production management process of discrete manufacturing industry and its information management system. Background technique [0002] With the increasing scale of the production process of the discrete manufacturing industry, more and more types and quantities of orders, machine deployment, material allocation, logistics transfer, and multi-variety workpieces are collaboratively interspersed and processed. When there are many processes and the optimization goal is multiple goals, different Type orders come randomly, and when enterprise resources and production capacity are limited, the optimal production organization is very complicated. Discrete manufacturing enterprises still mainly adopt the production management method ...

AI Technical Summary

Problems solved by technology

Although there are some production control methods in the prior art, the current methods lead to unsmooth production process and cause the following deficiencies: ① cannot effectively control the production; ④The inventory backlog is serious, and the capital occupation is large; ⑤The equipment capacity is not balanced; ⑥It is difficult for the production organization department to play the role of "flood control and drought relief"

The production organization department receives thousands of production orders and can only transfer them to outsourced production or self-made separately based on experience. Without scientific calculations, the optimal self-made and outsourced arrangements are heavy and inefficient.

[0003] The formulation of the master plan of the production management department is very critical. On the one hand, it needs to meet the assembly requirements of upstream products; , is a model that mainly relies on manual experience to organize production (see figure 1 ), did not optimally deal with the relationship between self-made and outsourcing according to the constraints of production resources

This model is that the production management department directly schedules production to the manufacturing department. The disadvantage is that the manufacturing department is overly managed, resulting in a large scale of problems, inconvenient adjustment of workshop scheduling, difficulty in optimizing production scheduling, and dealing with emergencies (equipment) faults, insertion orders, personnel adjustments, etc.) are inflexible, resulting in a large deviation between the production plan and the actual production

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