Production planning based on evolutionary mixed-integer nonlinear programming

被引：0
|
作者：
Lin, Yijng-Chien [1 ]
Lin, Yung-Chin [1 ,2 ]
Su, Kuo-Lan [2 ]
机构：
[1] Department of Electrical Engineering, WuFeng Institute of Technology, Chiayi, County 621, Taiwan
[2] Department of Electrical Engineering, National Yunlin University of Science and Technology, Yunlin, County 640, Taiwan
来源：
ICIC Express Letters | 2010年 / 4卷 / 5 B期
关键词：
Decision making - Integer programming - Multiobjective optimization - Nonlinear programming - Planning - Production control - Production engineering - Project management;
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学科分类号：
摘要：
Production planning is one of the most important decision-making problems in manufacturing processes. The problem is complex due to coupling with combinatorial property and conflict constraints. To describe production planning, a mixed-integer nonlinear programming (MINLP) model is developed to formulate this decision-making problem. On the other hand, in order to effectively make an optimal decision, a mixed-integer evolutionary algorithm is proposed to solve this MINLP problem. Finally, an experimental example is used to test the algorithm. The experimental results demonstrate the proposed algorithm can effectively handle the production planning problem. © 2010 ICIC International.
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页码：1881 / 1886
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