• DocumentCode
    2548165
  • Title

    Product family design and logistics decision support system

  • Author

    Helo, Petri ; Xu, Qianli ; Kristianto ; Jiao, Roger Jianxin

  • Author_Institution
    Logistics Syst. Res. Group, Univ. of Vaasa, Vaasa, Finland
  • fYear
    2009
  • fDate
    21-23 Oct. 2009
  • Firstpage
    551
  • Lastpage
    555
  • Abstract
    The purpose of the paper is to present Product Variety Analysis (PVA) approach to coordinated and synchronized flows of information about products and production processes among various supply chain members. The cost based PVA is developed by presenting cost modeling according to three factors in the cost model, namely part cost, development cost, and production cost. The results show that cost based PVA enables a product designer for producing higher commonality product family to reducing total costs per component. Developing commonality metric by including component price should be carried out in the future in considering component support to product family profitability. In terms of managerial implication, coordination between the manufacturing process and product development department facilitate supply chain design. Cost based PVA shows the novelty of this paper.
  • Keywords
    costing; decision support systems; logistics; product design; profitability; commonality metric; component price; coordinated flows; cost modeling; development cost; logistics decision support system; part cost; product family design; product family profitability; product variety analysis; production cost; synchronized flows; Costs; Decision support systems; Information analysis; Logistics; Manufacturing processes; Product design; Production; Profitability; Supply chain management; Supply chains; Analysis; Commonality Metric; Product Design; Product Family; Product Portfolio; Product Variety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3671-2
  • Electronic_ISBN
    978-1-4244-3672-9
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2009.5344371
  • Filename
    5344371