启发式遗传算法的生产能力约束多产品再制造批量决策被引量：10

Heuristic Genetic Algorithm for Lot Sizing in Capacitated Muti-item Remanufacturing

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摘要建立了生产能力约束条件下的再制造批量决策模型,同时考虑了批量制造、批量再制造和外包,确定性的需求由批量制造、批量再制造和外包来满足。利用启发式遗传算法求解多产品再制造批量模型,研究了种群大小和迭代次数对遗传算法实验的影响,并通过一些算例来证实了算法的有效性。 A strategy model for lot sizing in capacitated remanufacturing was established. Lot sizing manufacturing, lot sizing remanufacturing and outsourcing were taken into account：they met the deterministic demand. Heuristic genetic algorithm was applied to resolve the problem of lot sizing in multi-item remanufacturing, with a number of examples used to illustrate the effectiveness of this approach.

作者王能民孙青林

机构地区西安交通大学管理学院西安交通大学机械制造系统工程国家重点实验室

出处《工业工程》北大核心 2009年第1期13-16,共4页 Industrial Engineering Journal

基金国家社会科学基金资助项目(06CJY019) 国家自然科学基金资助项目(70602017 70433003)

关键词再制造遗传算法批量外包 remanufacturing genetic algorithm lot sizing outsourcing

分类号 F272.3 [经济管理—企业管理]

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