工业工程 ›› 2021, Vol. 24 ›› Issue (1): 147-154.doi: 10.3969/j.issn.1007-7375.2021.01.020

• 实践与应用 • 上一篇    

云环境下大规模定制中资源配置研究

李雪, 李芳   

  1. 上海理工大学 管理学院,上海 200093
  • 收稿日期:2019-09-14 发布日期:2021-02-24
  • 作者简介:李雪(1994-),女,山东省人,硕士研究生,主要研究方向为云制造及其相关
  • 基金资助:
    上海市软科学研究重点项目资助(19692104000)

A Research on Resource Allocation in Mass Customization under Cloud Environment

LI Xue, LI Fang   

  1. School of Business, University of Shanghai for Science & Technology, Shanghai 200093, China
  • Received:2019-09-14 Published:2021-02-24

摘要: 针对传统大规模定制生产模式无法满足日益个性化的产品市场变化,导致产品无法形成生产批量,在生产过程中增加成本和时间的问题,结合云制造的背景环境,提出云环境下大规模定制产品的生产模式,并通过建立包含生产总时间、生产总成本和产品总质量的多目标优化函数模型,使用NSGA-Ⅱ算法对所建模型进行求解,对模式运行中的资源配置问题进行研究。最后通过航模发动机进行算例验证,证明所建模型可以得到解决云环境下大规模定制产品生产过程中资源优化配置问题的最优生产方案。

关键词: 云制造, 大规模产品定制, 资源优化配置, NSGA-Ⅱ算法

Abstract: The traditional mass customization production model cannot meet the increasingly personalized product market changes, the products cannot be produced in batches, and the cost and time are increased in the production process. In response to this problem, based on the background environment of cloud manufacturing, a production model for mass customization products in the cloud environment is proposed, and a multi-objective optimization function model established which includes total production time, total production cost, and total product quality, and uses the NSGA-II algorithm to solve the model and the resource allocation problem in the model operation is studied. Finally, a numerical example is verified with a model airplane engine, that the model can obtain the optimal production plan to solve the problem of resource optimization allocation in the production process of mass customization products in the cloud environment.

Key words: cloud manufacturing, mass customization, optimal allocation of manufacturing resources, NSGA-Ⅱ

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