A two-phase possibilistic linear programming methodology for multi-objective supplier evaluation and order allocation problems

In this study, an integration of the analytic hierarchy process (AHP) and a multi-objective possibilistic linear programming (MOPLP) technique is developed to account for all tangible, intangible, quantitative, and qualitative factors which are used to evaluate and select suppliers and to define the...

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Bibliographic Details
Published inInformation sciences Vol. 178; no. 2; pp. 485 - 500
Main Authors Özgen, Dog¨an, Önüt, Semih, Gülsün, Bahadır, Tuzkaya, Umut Rıfat, Tuzkaya, Gülfem
Format Journal Article
LanguageEnglish
Published Elsevier Inc 15.01.2008
Subjects
AHP
Multi-objective possibilistic linear programming
Order allocation
Supplier evaluation
AHP
Multi-objective possibilistic linear programming
Order allocation
Supplier evaluation
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Summary:In this study, an integration of the analytic hierarchy process (AHP) and a multi-objective possibilistic linear programming (MOPLP) technique is developed to account for all tangible, intangible, quantitative, and qualitative factors which are used to evaluate and select suppliers and to define the optimum order quantities assigned to each. A multi-objective linear programming technique is first employed to solve the problem. To model the uncertainties encountered in the integrated supplier evaluation and order allocation methodology, fuzzy theory is adopted. Hence, possibilistic linear programming (PLP) is proposed for solving the problem, as it is believed to be the best approach for absorbing the imprecise nature of the real world. In the supplier evaluation phase, environmental criteria are also considered.
ISSN:0020-0255
1872-6291
DOI:10.1016/j.ins.2007.08.002