RESEARCH ARTICLE
Optimization Study on Enterprise Production Plan Based on Genetic Algorithm
Liu Haidong1, Peng Lixia2, Li Qin*, 1
Article Information
Identifiers and Pagination:
Year: 2015Volume: 9
First Page: 127
Last Page: 130
Publisher ID: TOBCTJ-9-127
DOI: 10.2174/1874836801509010127
Article History:
Received Date: 10/4/2015Revision Received Date: 20/5/2015
Acceptance Date: 15/6/2015
Electronic publication date: 19/8/2015
Collection year: 2015
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.