Multi-process scheduling method for improving contract demand rate by utilizing aggregate production rule

Abstract

The invention provides a multi-process scheduling method for improving contract demand rate by utilizing an aggregate production rule. The multi-process scheduling method comprises the following steps: an analyzing step based on a key performance indicator (KPI) method: analyzing a contract structure, a schedule structure and a schedule executing condition; an intelligent scheduling step: summarizing procedures and/or unit aggregation rules into an aggregate condition, summarizing contract priority rules into a priority sequence rule and a screening condition, summarizing expert experiences and optimizing strategies into an intelligent calculation method, and carrying out software implementation, so as to realize single-process scheduling and multi-process scheduling; and a visualized interaction step: displaying a scheduling result and providing a man-machine interaction editing function. The multi-process scheduling method aims to solve the problems of relatively low scheduling efficiency and optimizing level as plan drawing in the aspect of contract scheduling of most special steel manufacturers is still carried out manually. The multi-process scheduling method is wide in application prospect.

Description

technical field [0001] The invention relates to a multi-process scheduling method, in particular to a multi-process scheduling method which utilizes the intensive production rules of special steel enterprises to improve the rate of fulfillment of contracts. Background technique [0002] In special steel production enterprises, due to the diversity and complexity of their production processes, large number of contracts, complex specifications and varieties, and small batches, it is difficult to organize production, and it is impossible to efficiently utilize production capacity and coordinate the production and supply relationship between various processes as a whole. , which leads to a series of problems such as low contract fulfillment rate, poor user satisfaction, and difficult inventory control. [0003] At present, most of the plans are prepared manually, and the contracts within a certain period of time are converted into production tasks for each process, so as to orga...

AI Technical Summary

Problems solved by technology

This not only has high requirements for planners in terms of technology and production organization, but also in large-scale special steel production enterprises, the contract volume is large, and it is difficult for manpower to formulate production plans quickly, efficiently and optimally in a short period of time. Inventory situation during plan execution is more difficult to control

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