产品族设计与延迟制造过程决策的主从关联优化
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浙江财经大学 工商管理学院,杭州 310018

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E-mail: wujun2021@zufe.edu.cn.

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F273;TP391

基金项目:

国家自然科学基金项目(71864035).


Hierarchical joint optimization of product family design and postponement manufacturing process decision
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School of Business Administration,Zhejiang University of Finance & Economics,Hangzhou 310018,China

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    摘要:

    在市场全球化的进程中,延迟仍然是当今企业降低供应链风险的一种有效策略.然而,当前对延迟的研究往往是基于预先已固定好的产品族架构,较少关注到产品族设计与延迟制造过程决策间存在的内在固有耦合关系.鉴于此,提出对这二者的一种主从关联优化方法.首先,通过构建二者间的主从交互评价机制,建立以产品族设计为上层优化、延迟制造过程决策为下层优化的非线性双层规划模型:模型上层为设计产品族架构和决策延迟产品模块类型,从而最大化单位成本的顾客效用;下层分别为非延迟和延迟产品模块决策最优的制造方式以及为终端产品决策最优的组装方式,从而最小化工程成本.然后,设计一种嵌套式遗传算法对模型进行求解,以智能冰箱产品族延迟制造案例验证所提出模型和算法的可行性.最后,通过设计一种嵌套GAPSO算法对嵌套式遗传算法进行改进,并对比分析两种算法的计算过程和结果.

    Abstract:

    In the globalization process, postponement is still an effective strategy to reduce supply chain risks. Existing researches on postponement are often based on a fixed product family architecture which is given at the outset, with limited attention to the inherent coupling between product family design and postponement manufacturing process decision. Thus, a hierarchical optimization approach is formulated. By constructing a hierarchical interactive evaluation mechanism, a nonlinear bi-level programming model is established. The upper level designs the architecture of the product family and decides the type(s) of postponed product module(s) to maximize the customer utility per cost. The lower level decides the optimal manufacturing mode for each non-postponed and postponed product module, and the optimal assembly mode for each product variant to minimize the engineering cost. A nested genetic algorithm is designed to solve the optimization model. A case study of smart refrigerator product family postponement manufacturing is introduced to illustrate the feasibilities of the proposed model and algorithm. Finally, a nested GAPSO algorithm is proposed to improve the nested genetic algorithm. The calculation processes and results of the two algorithms are compared and analyzed.

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引用本文

吴军,张雷.产品族设计与延迟制造过程决策的主从关联优化[J].控制与决策,2023,38(11):3201-3208

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  • 在线发布日期: 2023-10-08
  • 出版日期: 2023-11-20
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