• Author/Authors

    ÖZBEK, Aşır Kırıkkale Üniversitesi - Kırıkkale Meslek Yüksekokulu - Bilgisayar Teknolojileri Bölümü, Turkey , EREN, Tamer Kırıkkale Üniversitesi - Mühendislik Fakültesi - Endüstri Mühendisliği Bölümü, Turkey

  • Title Of Article

    MULTIPLE CRITERIA DECISION MAKING METHODS FOR SELECTING THIRD PARTY LOGISTICS FIRMS: A LITERATUR REVIEW

  • شماره ركورد
    41571
  • Abstract
    Outsourcing is an increasingly important task pursued by enterprises seeking improved efficiency. Logistics outsourcing or Third-Party Logistics (3PL) involves the use of external companies to perform the firm’s logistics activities in part or the whole. 3PL has become a common practice among firms. It is therefore very important to choose the mos tappropriate 3PLfirms with a model which is effective and implementable. However, choosing a proper 3PL firm is a kind of Multi Criteria Decision Making (MCDM) problem, which requires considering a large number of complex factors. This paper is an exploratory study aiming at investigating the literature for of current 3PL selection and evaluation researches. This study includes 70 articles written and published in international journals, conferences and symposiums between 2001 and 2012 on third-partylogistics. The methods of 3PL evaluation range from simple analytical techniques to multi-criteria methods. There are a great range of selection decision methods that can be used in particular situations however it could not be determined which one is better in which situations. Most of the analyzed methods for 3PL selection and evaluation consisted of hybrid approaches which considered qualitative and quantitative data and were not based on real cases.These articles are classified according to evaluation methods.
  • From Page
    178
  • NaturalLanguageKeyword
    Logistics , 3PL , multiple criteria decision making (MCDM) methods , literatur review
  • JournalTitle
    Sigma Journal Of Engineering and Natural Sciences
  • To Page
    202
  • JournalTitle
    Sigma Journal Of Engineering and Natural Sciences