Supplier selection and order allocation problem using a two-phase fuzzy multi-objective linear programming

The aim of this paper is to solve a supplier selection problem under multi-price level and multi-product using interactive two-phase fuzzy multi-objective linear programming (FMOLP) model. The proposed model attempts to simultaneously minimize total purchasing and ordering costs, a number of defecti...

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Bibliographic Details
Published in:Applied mathematical modelling Vol. 37; no. 22; pp. 9308 - 9323
Main Authors: Nazari-Shirkouhi, Salman, Shakouri, Hamed, Javadi, Babak, Keramati, Abbas
Format: Journal Article
Language:English
Published: Elsevier Inc 15.11.2013
Subjects:
Allocations
Component and supplier management
Decision making
Fuzzy
Fuzzy logic
Fuzzy set theory
Fuzzy sets
Mathematical analysis
Mathematical models
Multi-objective linear programming
Multi-price level
Multi-product
Supplier selection
Fuzzy sets
Supplier selection
Multi-product
Multi-price level
Multi-objective linear programming
ISSN:0307-904X
Online Access:Get full text
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Summary:The aim of this paper is to solve a supplier selection problem under multi-price level and multi-product using interactive two-phase fuzzy multi-objective linear programming (FMOLP) model. The proposed model attempts to simultaneously minimize total purchasing and ordering costs, a number of defective units, and late delivered units ordered from suppliers. The piecewise linear membership functions are applied to represent the decision maker’s fuzzy goals for the supplier selection and order allocation problem, and can be resulted in more flexibility via an interactive decision-making process. To demonstrate effectiveness of the proposed model, results of applying the proposed model are shown by a numerical example. The analytical results show that the proposed approach is effective in uncertain environments and provide a reliable decision tool for integrated multi-objective supplier selection problems.
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ISSN:0307-904X
DOI:10.1016/j.apm.2013.04.045