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Growing Science » Decision Science Letters » Vendor selection and order allocation using an integrated fuzzy mathematical programming model

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Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 4 Issue 4 pp. 551-558 , 2015

Vendor selection and order allocation using an integrated fuzzy mathematical programming model Pages 551-558 Right click to download the paper Download PDF

Authors: Farzaneh Talebi, Davood Jafari

DOI: 10.5267/j.dsl.2015.5.004

Keywords: Fuzzy Multi-Objective, Fuzzy Theory, Logarithmic Fuzzy Preferential Planning (LFPP), Mathematical Programming, Supplier Selection, Supply Chain Management

Abstract: In the context of supply chain management, supplier selection plays a key role in reaching desirable production planning. In today & apos; s competitive world, many enterprises have focused on selecting the appropriate suppliers in an attempt to reduce purchasing costs and improve quality products and services. Supplier selection is a multi-criteria decision problem, which includes different qualitative and quantitative criteria such as purchase cost, on time delivery, quality of service, etc. In this study, a fuzzy multi-objective mathematical programming model is presented to select appropriate supplier and assign desirable order to different supplies. The proposed model was implemented for an organization by considering 16 different scenarios and the results are compared with two other existing methods.

How to cite this paper
Talebi, F & Jafari, D. (2015). Vendor selection and order allocation using an integrated fuzzy mathematical programming model.Decision Science Letters , 4(4), 551-558.

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Journal: Decision Science Letters | Year: 2015 | Volume: 4 | Issue: 4 | Views: 2410 | Reviews: 0

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