Product mix optimization based on theory of constraints and immune algorithm

Jun Qiang Wang, Shu Dong Sun, Jian Jun Yu, Shu Bin Si

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)2017-2026+2043
期刊Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
12
12
出版状态已出版 - 12月 2006

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