• DocumentCode
    1224130
  • Title

    A note on "A methodology for supply base optimization"

  • Author

    Talluri, Srinivas ; Narasimhan, Ram

  • Author_Institution
    Dept. of Marketing & Supply Chain Manage., Michigan State Univ., East Lansing, MI, USA
  • Volume
    52
  • Issue
    1
  • fYear
    2005
  • Firstpage
    130
  • Lastpage
    139
  • Abstract
    Supply base optimization is a critical issue facing firms that are striving to achieve an efficient sourcing strategy. While several decision models have effectively been utilized for evaluating and selecting potential suppliers, methodologies for supply base optimization have not received significant attention in the literature. The main contribution of this paper is the development of a quantitative methodology for supply base optimization. This involves reconfiguring the buying firm´s supply base by evaluating and selecting potential suppliers with respect to the strengths of existing suppliers and excluding underperforming suppliers from the firm´s supply base. We compare our methodology, which is anchored in data envelopment analysis (DEA), with traditional and advanced DEA models for supplier evaluation in highlighting its relative advantages. We test our models on an actual dataset of suppliers from a large, multinational, telecommunications company.
  • Keywords
    data envelopment analysis; decision theory; mathematical analysis; optimisation; performance evaluation; purchasing; data envelopment analysis; decision models; literature; mathematical modeling; performance evaluation; purchasing; quantitative methodology; supplier evaluation; suppliers dataset; supply base optimization; technical management notes; telecommunications company; Companies; Data envelopment analysis; Optimization methods; Performance evaluation; Product development; Production; Sun; Supply chain management; Supply chains; Testing;
  • fLanguage
    English
  • Journal_Title
    Engineering Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9391
  • Type

    jour

  • DOI
    10.1109/TEM.2004.839960
  • Filename
    1388703