Lean production advanced planning and scheduling system and method

Abstract

The invention provides a lean production advanced planning and scheduling system and method. The lean production advanced planning and scheduling system comprises an intelligent acquisition module, anintelligent simulated scheduling module, an intelligent dispatching module, an intelligent adaption module and an analog simulation module. The beneficial effects are that fine control for the production and processing cost is achieved through optimized applications on the aspects such as product combination, brand switching and balanced production; high efficiency of a scheduling result is achieved; the timeliness and the accuracy of a production plan are improved, timely supply of production materials and the safety of material delivery are effectively coordinated; the equipment load is effectively allocated, and the workload of the planners is substantially reduced.

Description

technical field [0001] The invention relates to the technical field of lean production advanced planning and scheduling (APS) for cigarette enterprises, in particular to an lean production advanced planning and scheduling system and method. Background technique [0002] In the process of building the production execution system (MES) system in the tobacco industry, many enterprises have built advanced planning and scheduling (APS) modules for enterprise lean production. Based on certain constraints, they use scheduling algorithms to optimize resource allocation. Considering enterprise resources ﹝Materials and production capacity are the main factors﹝Under the constraints and the control of the production site and the rules of dispatching workers, plan feasible material demand plans and production planning schedules to achieve "just-in-time" production. [0003] However, due to the difficulty in accurately predicting the supply of raw materials and auxiliary materials, the su...

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Problems solved by technology

[0003] However, due to the difficulty in accurately predicting the supply of raw materials and auxiliary materials, the surplus capacity of equipment, and the situation of personnel, the accuracy of production scheduling is low

The main reason is that it is difficult to accurately predict the balance of soft and hard packages, and the balance of machines between production points and within production points, which leads to difficulties in plan changes, adjustments, management and control, and waste of production capacity

Therefore, the current application effect of APS in the industry is not ideal, and it is still mainly estimated by manual experience, with low accuracy and low planning feasibility, and the optimal allocation of resources cannot be achieved.

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