• 论文 •    

基于约束理论和免疫算法的产品组合优化研究

王军强, 孙树栋, 余建军, 司书宾   

  1. 西北工业大学 机电学院, 陕西西安710072
  • 出版日期:2006-12-15 发布日期:2006-12-25

Product mix optimization based on theory of constraints and immune algorithm

WANG Jun-qiang, SUN Shu-dong, YU Jian-jun, SI Shu-bin (Sch. of Mechatronics Eng., Northwestern Polytechnical Univ., Xi’an00, China)   

  1. Sch. of Mechatroncis Eng.,Northwestern Polytechnical Univ.,Xi'an 710072,China
  • Online:2006-12-15 Published:2006-12-25

摘要: 建立了基于约束理论的产品组合的数学模型,并通过对瓶颈和非瓶颈的定义和归类简化了模型的产能约束。应用免疫算法求解约束理论产品组合优化问题,并提出了基于约束理论的免疫算法。最后,将本算法与传统约束理论启发式、修订约束理论启发式、整数规划法、禁忌搜索、遗传算法等进行了仿真比较,说明了本算法的有效性和实用性。

关键词: 产品组合优化, 约束理论, 免疫算法, 免疫应答, 建模, 仿真

Abstract: Firstly, a mathematical model of product mix optimization problems based on the Theory of Constraints (TOC) was established. Capacity constraints of the model were simplified by definition and classification of bottleneck and non-bottleneck. The product mix optimization based on TOC was solved by using Immune Algorithm(IA), and the TOC-based IA was presented. Finally, compared this algorithm with those of the traditional TOC heuristic, revised TOC heuristic, Integer programming(IP), Tabu Search (TS), and Genetic Algorithm (GA), the simulation results proved that the presented algorithm was more effective and feasible.

Key words: product mix optimization, theory of constraints, immune algorithm, immune response, modeling, simulation

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