Hierarchical interactive optimization of product family architecture design and supply chain postponement decisions
Postponement strategy is an effective way for enterprises to cope with the diversity and uncertainty of con-sumer 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 ap-proach 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 for-mulated.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 con-tractors 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 postpone-ment manufacturing was introduced to verify the feasibility of the proposed hierarchical interactive optimization ap-proach.Some managerial insights were obtained from the sensitivity analysis on the parameter θ in the multi-national logit choice rule.
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维普
