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作 者:吴军 张雷[1] WU Jun;ZHANG Lei(School of Management,Zhejiang University of Finance&Economics,Hangzhou 310018,China)
出 处:《计算机集成制造系统》2024年第10期3719-3729,共11页Computer Integrated Manufacturing Systems
基 金:国家社科基金资助项目(23BJY006)。
摘 要:鉴于延迟策略的研究较少关注到产品族架构设计与整条供应链延迟决策之间存在的内在交互影响,提出对产品族架构设计与供应链延迟决策的一种主从交互优化方法。通过构建在其之间的主从交互决策机制,建立了一个以产品族架构设计为主、供应链延迟决策为从的非线性双层规划模型。模型上层是开发商设计产品族架构和决策其中的延迟产品模块类型,从而最大化单位成本的顾客效用;下层的决策主体包括多个供应商、多个制造商、多个延迟承包商及多个分销商,它们分别通过优化产品族的延迟制造过程来最小化各自的运营成本。针对模型求解的复杂性,设计了一种嵌套遗传算法进行求解。以智能冰箱产品族延迟生产案例验证所提优化模型和求解算法的可行性,并通过对多项式分对数选择规则中的参数θ进行灵敏度分析实验得出了一些管理启示。Postponement strategy is an effective way for enterprises to cope with the diversity and uncertainty of consumer needs.Most of the current researches on postponement are often based on a fixed product family architecture at the outset,with limited attention to the inherent interaction between Product Family Architecture Design(PFAD)and Supply Chain Postponement Decisions(SCPD).Therefore,a hierarchical interactive optimization approach was proposed.By constructing the internal hierarchical interactive evaluation mechanism,a nonlinear bilevel programming model with PFAD as the upper-level optimization and SCPD as the lower-level optimization was formulated.As the leader,the designer designed the product family architecture and selected the type of postponement product module to maximize the customer utility per unit cost.The suppliers,manufacturers,postponement contractors and distributors played the roles of followers and optimized the postponement manufacturing process of the product family individually with the goal of minimizing their operational costs.A bi-level nested genetic algorithm was designed to solve the proposed optimization model.A case study of smart refrigerator product family postponement manufacturing was introduced to verify the feasibility of the proposed hierarchical interactive optimization approach.Some managerial insights were obtained from the sensitivity analysis on the parameterθin the multi-national logit choice rule.
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