Enterprise supply chain management system

Abstract

The invention discloses an enterprise operation control method in an enterprise supply chain management system. The method comprises the following steps of: carrying out mathematic modeling on enterprise resources; creating a decision variable, creating a constrained capacity target function and an unconstrained capacity target function by taking a main plan as a standard according to the created decision variable, and constructing corresponding constraint conditions according to different capacity target functions; and adjusting solution parameters to obtain a resource distribution manner or demand resources satisfying an enterprise operation plane. According to the method, the enterprise resources (such as machines, personnel, tools, materials and the like) can be properly and effectively planned to satisfy the customer demands, production strategies such as maximum output quantity, highest bottleneck resource using rate, shortest lead time and the like are achieved, and managers can be assisted to find feasible enterprise information.

Description

technical field [0001] The invention belongs to the technical field of enterprise operation management in an enterprise supply chain management system, and in particular relates to an enterprise operation control method and system in an enterprise supply chain management system. Background technique [0002] China's smart manufacturing is in the initial development stage, and most of them are also in the research and development stage. Only 16% of the companies have entered the smart manufacturing application stage; from the perspective of the economic benefits of smart manufacturing, 52% of the companies have a smart manufacturing revenue contribution rate of less than 10%. , 60% of enterprises have contributed less than 10% of their smart manufacturing profits. The reason why 90% of small and medium-sized enterprises have a low degree of realization of intelligent manufacturing is that the cost of intelligent upgrading suppresses the demand of enterprises, and the lack of ...

AI Technical Summary

Problems solved by technology

The reason why 90% of small and medium-sized enterprises have a low degree of realization of smart manufacturing is that the cost of smart upgrades suppresses business demand, and the lack of financing channels has the greatest impact

[0003] For material and production capacity planning and on-site detailed operation scheduling, enterprises often adopt an order-receiving policy and a production scheduling method of roughly estimating production capacity because they cannot accurately grasp the actual production capacity status and material purchase schedule of the manufacturing site. However, under the basic premise of improving the service level to customers and promising the delivery date, the production workshop often uses overtime or outsourcing to meet the order delivery date

In addition, because material planning cannot take into account the limitation of production capacity, it may cause the procurement plan of raw materials / components to fail to match the production plan, thereby affecting the established production schedule, resulting in a vicious circle of failure to meet customer delivery dates or high costs

Therefore, it is impossible to achieve the goal of quickly responding to the needs of customers (Quick Response) and the effective allowable order quantity / time (Available-to-Promise; ATP or Capable To Promise; CTP).

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