运筹与管理 ›› 2016, Vol. 25 ›› Issue (1): 59-69.DOI: 10.12005/orms.2016.0008

• 理论分析与方法探讨 • 上一篇    下一篇

大规模定制模式下基于三角直觉模糊信息的生产指派问题研究

程德通1, 李登峰2, 余高锋3   

  1. 1.三明学院 管理学院, 福建 三明 365004;
    2.福州大学 经济与管理学院, 福建 福州 350108;
    3.三明学院 信息工程学院, 福建 三明 365004
  • 收稿日期:2014-10-20 出版日期:2016-02-25
  • 作者简介:程德通(1966-),男,福建闽侯人,硕士,副教授,主要研究领域:决策分析、大规模定制等。
  • 基金资助:
    国家自然科学基金重点项目(71231003); 国家自然科学基金项目(71171055);福建省教育厅项目(JA11295S; JA14295)

Research on the Production Assignment Based on the Triangular Intuitionistic Fuzzy Numbers Under the Mass Customization Mode

CHENG De-tong1, LI Deng-feng2, YU Gao-feng3   

  1. 1.School of Management, Sanming University, Sanming 365004, China;
    2.School of Economics and Management, Fuzhou University, Fuzhou 350108, China;
    3.School of Information, Sanming University, Sanming 365004, China
  • Received:2014-10-20 Online:2016-02-25

摘要: 针对大规模定制模式下生产指派面临的模糊不确定性等问题,探讨如何运用三角直觉模糊数构建生产指派模型进而确定最满意的生产指派方案。首先,运用三角直觉模糊数刻画、设计基于顾客个性化需求与企业产出的相对偏差、产品价格与交货期等影响因素的顾客满意度函数和企业利润函数。其次,建立了兼顾企业利润和顾客满意度的调和函数,据此构建了生产指派模型,并证明该模型有可行解和最优解,然后说明模型的求解方法。最后,通过具体实例说明生产指派模型的求解过程及其有效性、合理性。

关键词: 大规模定制, 三角直觉模糊数, 生产指派, 优化模型

Abstract: According to the problems of fuzzy uncertainty which production assignment should face under the mode of mass customization, this article discusses how to apply the triangular intuitionistic fuzzy numbers to construct the production assignment model in order to get the most satisfied production assignment. First, we use the triangular intuitionistic fuzzy numbers to describe and design a customer satisfaction function and profit function which is based on the factors such as the individual customer needs and business output relative deviation, delivery time and price and so on. Second, harmonic function, which corporates profits and customer satisfaction, is established to construct the production assignment model. It is also proved that this model has feasible and optimal solutions and then illustrates the proposed method. Last, the solution process and its effectiveness and rationality of production assignment model are illustrated and analyzed through an example.

Key words: mass customization, triangular intuitionistic fuzzy number, production assignment, optimized model

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