• CN:11-2187/TH
  • ISSN:0577-6686

›› 2004, Vol. 40 ›› Issue (1): 109-113.

• 论文 • 上一篇    下一篇

面向大批量定制的用户需求协同配置思想及其应用

刘飞;李世新;刘胜   

  1. 重庆大学制造工程研究所
  • 发布日期:2004-01-15

CUSTOMER REQUIREMENTS COLLABORATIVE OPTIMIZATION BETWEEN CUSTOMERS AND ENTERPRISES FOR MASS CUSTOMIZATION AND THE APPLICATION

Liu Fei;Li Shixin;Liu Sheng   

  1. Chongqing University
  • Published:2004-01-15

摘要: 面向大批量定制的设计(DFMC)是大批量定制研究和实施的关键技术之一。现有的DFMC模式的重要特点之一在于产品的设计和制造会受到用户订单的极大限制,从而使得企业的制造属性难以实现优化。为此提出了面向大批量定制的用户需求协同配置思想。其内涵在于用户需求参数与企业的产品设计、制造以及生产经营等参数具有密切关系,而用户需求通常都具有相当的变动范围。因此,通过用户与企业集成以及协调用户需求参数与企业的制造参数,就可以实现各参数的综合优化,从而提高用户满意度和企业效益。建立了用户需求协同配置的多目标优化模型,提出了网络化运行模式及一种实现方案。通过工程应用实例说明了用户需求协同配置的成功应用。

关键词: 大批量定制, 网络化, 协同配置, 用户需求

Abstract: Design for mass customization(DFMC) is one of the key technologies in MC research and implementation. One important characteristic of current DFMC mode is that product design and manufacturing will be constrained heavily by customer orders, which makes optimization of enterprises’ manufacturing attributes hard to achieve. To solve this problem, the thought of customer requirements collaborative optimization between customers and enterprises’ is brought forward. It is considered that customer requirements parameters have strong correlation to enterprises’ parameters of product design, product manufacturing, management and operation. In addition, customer requirements normally have considerable scope of variation. Therefore, through the integration of customers and enterprises and coordinating customer requirements parameters with enterprises’ manufacturing parameters, it will be possible to achieve overall optimization and consequently improve customers’ satisfaction and enterprises’ performance. Then, a multiple objective optimization model for customer requirements collaborative optimization is set up. An internet-based operation mode and a realization scheme are brought forward. A case study shows that the customer requirements collaborative optimization is practical.

Key words: Collaborative optimization, Customer requirements, Internet, Mass customization

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