系统管理学报

系统管理学报 ›› 2022, Vol. 31 ›› Issue (2): 384-395.DOI: 10.3969/j.issn.1005-2542.2022.02.015

• 工业工程与工程管理 • 上一篇    下一篇

云制造环境下考虑不确定性的产品配置优化

李嘉，杨东   

  1. 东华大学 管理学院，上海 200051
  • 出版日期:2022-03-28 发布日期:2022-04-09
  • 作者简介:李嘉（1984-），女，博士生。研究方向为产品配置优化
  • 基金资助:
    国家自然科学基金资助项目（71971053，71832001）；教育部人文社会科学研究项目18YJA630129）

Product Configuration Optimization Problems in Cloud Manufacturing with Uncertainity

LI Jia，YANG Dong   

  1. School of Business and Management，Donghua University，Shanghai 200051，China
  • Online:2022-03-28 Published:2022-04-09

PDF

摘要： 越来越多的大规模定制企业借助于云制造技术实现产品的个性化定制。针对云制造环境下的产品配置问题, 提出了基于鲁棒优化的方法建立最小化配置总成本为目标的优化模型, 并考虑了云制造成本和时间的不确定性。运用基于budget 和区间的不确定集来刻画参数的扰动性。通过对偶理论, 将其转化为鲁棒等价模型, 从而可以采用 CPLEX 进行求解。以一个配置案例为例论证了鲁棒优化模型的有效性。最后, 设计了不同的算例进行仿真实验, 证明了鲁棒优化解在应对不确定风险时更为稳健、能够显著改善产品的准时交货期。

关键词: 鲁棒优化, 产品配置问题, 云制造

Abstract: An increasing number of enterprises realize their personalized production by means of cloud manufacturing technology. To deal with the uncertainties in cloud manufacturing, a robust optimization approach to product configuration is proposed with the objective of minimizing the total configuration cost. The uncertainties in cloud manufacturing cost and time are characterized by using budget-based robust representation. The robust model is transformed into a robust counterpart model using the duality theory. As a result, commercial solvers such as CPLEX can be employed to solve the model to optimality. A configuration case is designed to illustrate the effectiveness of the robust model. Numerical experiments are conducted to demonstrate that the proposed model is more robust and can substantially improve the delivery date of products.

Key words: robust optimization, product configuration problem, cloud manufacturing

中图分类号: