Intelligent production scheduling method supporting process task quantity separation

Abstract

The invention discloses an intelligent production scheduling method supporting process task quantity separation. Under constraints of using as few parallel stocks as possible, in view of an overdue task sheet, the limitation of the number of parallel stocks is liberalized, separation of a process task quantity with long time consuming is carried out according to the working states of the stocks indifferent time periods, and production can thus be completed within a delivery date. In comparison with the current commonly-used production planning and scheduling method in which the task quantityof a single process is generally distributed to a single stock, task quantity separation can not be realized, stock resource waste and low production efficiency are caused in conditions with a large production task quantity and a large number of idle stocks of the same kind, the method disclosed in the invention can support an asynchronous startup mechanism for the same kind of stocks with the working states asynchronous, the utilization rate of the stock is improved through reasonable separation on the process task quantity, the production period is shortened, and besides, a rule of using asfew stocks as possible to control the raw material transportation cost is obeyed, a production scheduling result of completing production within the delivery date is obtained.

Description

technical field [0001] The invention relates to the technical field of production planning and scheduling, in particular to an intelligent production scheduling method that supports splitting of process tasks. Background technique [0002] With economic globalization, rapid technological changes and rapid changes in the market environment, manufacturing companies are facing increasingly complex production problems, product life cycles and customer-required delivery times are shortened, and production methods are changing from single-species mass production to multiple Variety changes in small batches. The change of production mode has brought challenges to the production planning and scheduling capabilities of enterprises. Manufacturing enterprises are faced with the problem of accurately estimating delivery dates and lack the ability to quickly respond to customer needs. At the same time, due to the intensified competition in the industry, various manufacturing companies h...

AI Technical Summary

Problems solved by technology

The above production planning and scheduling methods are usually not designed for the cooperation of multiple machines of the same type to complete the process tasks due to the consideration of raw material transportation costs or the coarser research granularity, which limits the task amount of a single process to be allocated to A single machine, so it is impossible to split the task volume. In the case of a large production task and a large number of idle machines of the same type, it causes waste of machine resources and low efficiency, resulting in a long construction period for task orders with large planned production quantities. Even overdue, in the case of increasing resources, it is still impossible to get the production plan to complete the production before the delivery date

Images