RESEARCH ARTICLE


Optimization Study on Enterprise Production Plan Based on Genetic Algorithm



Liu Haidong1, Peng Lixia2, Li Qin*, 1
1 School of Mechanical Eng., Panzhihua University, PanZhiHua Sichuan 617000, China
2 Department of Automation Engineering, Xi’an International University, Xian, Shanxi, 710077, China


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© 2015 Haidong;

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Abstract

This article aims at solving the common issues on enterprise production plan, based on combining JIT production idea and actual product characteristic, to establish an optimized production plan model, with advanced and delayed production as the least ambition and with the availability of the enterprise equipment and order quantity as constraint conditions. Meanwhile, GA is used to solving the optimization model, and is used in the practical cases, so that the production plan of the minimum cost is attained. The model has a great guiding significance on the decrease in the enterprise production cost, the development of the use ratio of equipment and the rapid production planning.

Keywords: Genetic algorithm, optimized model, production planning, simulation.