• DocumentCode
    620543
  • Title

    Research of integrating supplier selection into product family planning

  • Author

    Cao, Yijia ; Luo, X.G. ; Kwong, C.K. ; Tang, J.F.

  • Author_Institution
    Dept. of Syst. Eng., Northeastern Univ., Shenyang, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    4634
  • Lastpage
    4639
  • Abstract
    With the economic globalization and market constantly subdivision, the life cycle of product and the development cycle increasingly shorter. In the development process of new products, more and more scholars have realized that if suppliers collectively participate in the initial stage of product development, enterprises will effectively save the cost and the time, dramatically increase the product quality and the production flexibility. Recently, several research papers proposed some relevant methods integrating supplier selection into product family design. In this paper, a one-step unified optimization model, which integrates product family design with supplier selection, is established. The optimization model with the objective of maximizing the total profits of product family is based on multinomial logit consumer choice rule, which is regarded to be more flexible and suitable to formulate consumer choice behavior. To solve the proposed optimization model, genetic algorithm is adopted. The optimization results of integrating supplier selection and product family design and that of separating supplier selection and product family design, and the optimization results under multinomial logit rule and that under the deterministic choice rule are compared respectively. Meanwhile, in the case study, sensitivity analysis of the model is also performed.
  • Keywords
    genetic algorithms; product quality; production management; development cycle; economic globalization; genetic algorithm; integrating supplier selection; market constantly subdivision; multinomial logit consumer; multinomial logit rule; product cycle; product development; product family design; product family planning; product quality; production flexibility; supplier selection; unified optimization model; Companies; Genetic algorithms; Mathematical model; Optimization; Outsourcing; Production; Sociology; genetic algorithm; multinomial logit consumer choice rule; product family; supplier selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561772
  • Filename
    6561772