• DocumentCode
    1208171
  • Title

    Strategic sourcing and collaborative planning in Internet-enabled supply chain networks producing multigeneration products

  • Author

    Gaonkar, Roshan S. ; Viswanadham, N.

  • Author_Institution
    Logistics Inst., Nat. Univ. of Singapore, Singapore
  • Volume
    2
  • Issue
    1
  • fYear
    2005
  • Firstpage
    54
  • Lastpage
    66
  • Abstract
    The design and planning of supply chain networks supporting production and distribution of multiple product generations overlapping with each other is of critical importance in the high-tech industry. We address the strategic supply chain network design problem in rapidly changing industry segments, where the selection of partners such as component suppliers, contract manufacturers and logistics providers is done, based on the capabilities of the partners for supporting the strategic needs of the current and near future generations of a finished product. We develop a mixed integer-programming model for integrated planning and scheduling across the supply chain and show how such a model may be used for making decisions related to introduction and rollovers of finished products and components from one generation to another. We assume that all stakeholders in the supply chain collaborate and share information on their capacities, schedules and cost structures. Based on this information the model addresses the issue of partner selection and planning for optimal profit. The model was solved using optimization tools from ILOG. Managerial insights are obtained by performing a series of simulated experiments on the model developed. For example, we show that an expensive supplier possessing the ability to develop and supply components required across a number of generations, might be preferred against a cheaper supplier supplying components suitable for a specific generation of the product. In addition, we show how the supply chain network configuration changes over the lifecycle of the product, wherein cheaper overseas suppliers slowly replace responsive and expensive local suppliers as the product matures. We also develop a framework to quantify and compare the costs and benefits of pursuing alternative product introduction plans and deadlines. Such a framework might be employed to determine the optimal product introduction schedule. We show here that in some cases it might not be profitable to launch a product in the market after a certain period of time.
  • Keywords
    Internet; decision making; integer programming; production planning; scheduling; strategic planning; supply chain management; time to market; Internet; alternative product introduction plan; collaborative planning; component suppliers; contract manufacturers; cost-benefit analysis; decision making; logistics providers; mixed integer programming; multigeneration product production; optimal product introduction schedule; optimization tools; partners selection; product lifecycle; stakeholders; strategic sourcing; supply chain network design; supply chain network planning; Collaboration; Contracts; IP networks; Job shop scheduling; Logistics; Manufacturing industries; Product design; Production planning; Strategic planning; Supply chains;
  • fLanguage
    English
  • Journal_Title
    Automation Science and Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5955
  • Type

    jour

  • DOI
    10.1109/TASE.2004.829414
  • Filename
    1381367