Dynamic Scheduling Method of Production Plan in Automobile Manufacturing Workshop

Author:

Ren Nver,Li Maoying

Abstract

Abstract In order to adapt to the needs of dynamic adjustment of production plan between different automobile manufacturing workshops and deal with emergencies, a dynamic scheduling method of production plan based on genetic algorithm is proposed in this paper. According to the requirements of different workshops, multi-layer fitness functions are designed, buffer zones are set between workshops, and the production planning scheduling is dynamically adjusted by sliding window. The experimental results show that the dynamic scheduling method proposed in this paper has the advantages of high efficiency and adjustment.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference5 articles.

1. An improved tabu search meta-heuristic approach for solving scheduling problem with non-availability constraints;Ben Abdellafou;Arabian Journal for Science and Engineering,2019

2. A simulated annealing algorithm for scheduling problems;Gallo;Journal of Applied Mathematics and Physics,2019

3. A multistart biased random key genetic algorithm for the flexible job shop scheduling problem with transportation;Homayouni,2020

4. Hybrid approach based on cuckoo optimization algorithm and genetic algorithm for task scheduling;Akbari,2020

5. An improved genetic algorithm for vehicle routing problem with time windows;Ting;International Journal of Industrial Engineering,2018

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