计算机集成制造系统 ›› 2019, Vol. 25 ›› Issue (第5): 1128-1141.DOI: 10.13196/j.cims.2019.05.011

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协同产品模块化架构与生态升级设计的主从关联优化

肖文星,杜纲   

  1. 天津大学管理与经济学部
  • 出版日期:2019-05-31 发布日期:2019-05-31
  • 基金资助:
    国家自然科学基金资助项目(71371132)。

Leader-follower joint optimization approach for coordinated product modularized architecting and eco-upgrading design

  • Online:2019-05-31 Published:2019-05-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.71371132).

摘要: 为了降低产品开发过程中的原材料与能源消耗、减少环境污染,通过产品的模块化与升级设计来延长产品生命周期、最大化产品效用。针对模块化的产品架构与生态升级关联优化问题进行研究,提出一种以产品模块化架构为主、生态升级设计为从的主从双层关联优化模型,模型上层由设计者决策产品的架构与配置以最大化产品的单位成本效用,下层由再制造商决策产品的升级配置以最大化产品的多生命周期总收益。开发了一套嵌套双层遗传算法对模型进行求解。通过算例验证了所提模型与算法的有效性。

关键词: 模块化架构, 生态升级设计, 双层优化, 嵌套遗传算法, 产品开发

Abstract: To decrease raw material and energy consumption and to reduce environmental pollution during the product development process,the modular and upgrading design of product were used to extend the product life cycle and maximize the utility of products.Aiming at the joint optimization problem of modular product architecting and its eco-upgrading design,a leader-follower joint bilevel optimization model was proposed in which the designer of the upper-level model as the leader,decided on the architecture and configuration of product to maximize product utility per cost,and the manufacturer of the lower-level model as the follower,decided on the product upgrade configuration to maximize total revenue of products in multi life cycle.Then a nested bilevel genetic algorithm was developed to solve the proposed model.A case study was introduced to demonstrate the effectiveness of the proposed model and algorithm.

Key words: modular architecting, eco-upgrading, bilevel optimization, nested genetic algorithm, product development

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