Hierarchical join optimization approach for coordinated product family design and postponement decisions in crowdsourced manufacturing

被引：0

作者：

Wu J. ^{[1
]}

Xia Y. ^{[2
]}

机构：

[1] School of Management, Zhejiang University of Finance SV- Economics, Hangzhou

[2] College of Management and Economics∗ Tianjin University, Tianjin

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2024年 / 30卷 / 02期

关键词：

crowdsourced manufacturing; hierarchical joint optimization; nested genetic algorithm; postponement decisions; product family design;

D O I：

10.13196/j.cims.2021.0656

中图分类号：

学科分类号：

摘要：

For the coordinated optimization problem of product family design and postponement decisions in crowdsourced manufacturing, a mixed integer nonlinear bi-level programming model with product family design as a leader and postponement decisions as the followers was established, in which the upper-level model maximized the expected profit of the manufacturer by determining the design of product family, the lower-level model maximized the expected profits of the distributors by optimizing the types of postponed product modules, and the decisions among the distributors were mutually independent. A novel virtual postponement structure was introduced to concretize this research and to justify which product modules should be postponed. A nested genetic algorithm was developed to solve the proposed model. A case study of smart refrigerator design for postponement was reported to illustrate the feasibility of the proposed approach, and the sensitivity analysis on the proposed postponement preference parameter was carried out. © 2024 CIMS. All rights reserved.

引用

页码：695 / 707

页数：12

共 37 条

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