• DocumentCode
    2222445
  • Title

    A simulated annealing approach to supplier selection aware inventory planning

  • Author

    Turk, Seda ; Miller, Simon ; Ozcan, Ender ; John, Robert

  • Author_Institution
    ASAP Research Group, School of Computer Science, University of Nottingham, UK
  • fYear
    2015
  • fDate
    25-28 May 2015
  • Firstpage
    1799
  • Lastpage
    1806
  • Abstract
    Selection of an appropriate supplier is a crucial and challenging task in the effective management of a supply chain. Also, appropriate inventory management is critical to the success of a supply chain operation. In recent years, there has been a growing interest in the area of selection of an appropriate vendor and creating good inventory planning using supplier selection information. In this paper, we consider both of these tasks in a two-stage approach employing Interval Type-2 Fuzzy Sets (IT2FS) and Simulated Annealing (SA). In the first stage, the supplier selection problem is solved by using IT2FS for ranking the suppliers. We present an inventory model incorporating information from the first stage that captures the influence of supplier risk on the total cost of supply chain operation. In the second stage, SA is used for solving the inventory planning problem based on this model improving on both supply chain operation cost and supplier risk. In this study, we evaluated our approach using different scenarios and scalarisation techniques for SA to handle two objectives, simultaneously.
  • Keywords
    Fuzzy logic; Fuzzy sets; Gold; Planning; Pragmatics; Supply chains; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2015 IEEE Congress on
  • Conference_Location
    Sendai, Japan
  • Type

    conf

  • DOI
    10.1109/CEC.2015.7257105
  • Filename
    7257105