Production and transportation joint scheduling method for continuous production

Abstract

The invention relates to a production and transportation joint scheduling method oriented to continuous production. This method is based on subsection decoding and role-exchanging artificial bee colony algorithm. The scheduling link is extended to the raw material procurement link, and the output order of vehicles in the procurement and distribution process and the finished products in the production process is optimized jointly. The method can make better use of vehicle resources and shorten the total scheduling time. By using the role-swapping artificial bee colony algorithm based on segmented decoding, the leading bee and the following bee can convert each other in the process of optimization, and the search ability and development ability are strong, and the search space is enlarged, so that more feasible solutions can be found, and the localization can be avoided. Compared with the artificial bee colony algorithm based on segmented decoding and genetic algorithm based on segmenteddecoding, the result is better.

Description

technical field [0001] The invention relates to the field of continuous production-oriented scheduling, in particular to a continuous production-oriented production and transportation joint scheduling method. Background technique [0002] Production and transportation are two important parts in the supply chain, and joint optimization of production and transportation is the key to reducing the total scheduling time of the supply chain. In the current production-transportation joint scheduling, a large part of the production mode is limited to the discrete production mode, which does not take into account the production mode of continuous production, nor the production sequence of finished products; and the scheduling link only involves the two aspects of production and distribution. The three links of procurement, production and distribution are not considered jointly. For example, Jamili et al. (Jamili N, Ranjbar M, Salari M.A bi-objective model for integrated scheduling o...

AI Technical Summary

Problems solved by technology

For example, Jamili et al. (Jamili N, Ranjbar M, Salari M.A bi-objective model for integrated scheduling of production and distribution in a supply chain with order release date restrictions[J].Journal of Manufacturing Systems,2016,40:105-118.) The three-stage scheduling problem of procurement, production, and distribution in the supply chain is solved. After the manufacturer purchases raw materials from the supplier, it uses a stand-alone production method to produce, and then distributes the finished product to the customer. When scheduling, it is necessary to determine the completion time and delivery time of each order. Time, transportation batches and transportation routes, raw materials and finished products are not scheduled at the same time to shorten the total scheduling time, and cannot be used in continuous production

Images