Title: An integrated framework for supplier evaluation and order allocation in a non-crisp environment
Authors: Ali Azadeh, M.H. Khakbaz, M. Jafari Songhori
Addresses: Department of Industrial Engineering and Center of Excellence for Intelligent Experimental Mechanics, College of Engineering, University of Tehran, P.O. Box 11365-4563, Iran. ' Department of Industrial Engineering, Tarbiat Moddares University, P.O. Box 11365-4563, Tehran, Iran. ' Department of Industrial Engineering and Center of Excellence for Intelligent Experimental Mechanics, College of Engineering, University of Tehran, P.O. Box 11365-4563, Iran
Abstract: Supplier selection and related issues are among the most important decisions in the area of Supply Chain Management. A few of papers and studies have considered the major decisions related to supplier selection with non-crisp data. This paper comes across with a novel approach to the problem by presenting an integrated framework which involves two stages: suppliers| evaluation and order allocation. In this way, for suppliers| evaluation, a Fuzzy Data Envelopment Analysis (Fuzzy DEA) model is conducted and then a multi-objective integer programming with fuzzy objectives and fuzzy constraints is formulated to assign an optimal quantity of orders to suppliers.
Keywords: supplier evaluation; order allocation; fuzzy DEA; data envelopment analysis; fuzzy linear programming; non-crisp environments; SCM; supply chain management; multi-objective integer programming; fuzzy objectives; fuzzy constraints; optimal order quantities; logistics systems management; integrated frameworks.
DOI: 10.1504/IJLSM.2010.029722
International Journal of Logistics Systems and Management, 2010 Vol.6 No.1, pp.76 - 98
Published online: 01 Dec 2009 *
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