Multiproduct vendor selection with volume discounts as the fuzzy multi-objective programming problem

Vendor selection in supply chain is a multi-criteria problem that involves a number of quantitative and qualitative factors. This paper deals with a concrete problem of flour purchase by a company that manufactures bakery products. The selection process is driven by the price, reliability and qualit...

Full description

Saved in:
Bibliographic Details
Published in:International journal of production research 2014-07, Vol.52 (14), p.4315-4331
Main Authors: Babic, Zoran, Peric, Tunjo
Format: Article
Language:English
Subjects:
AHP
Decision making models
Discounts
Flour
Fuzzy
Fuzzy logic
fuzzy programming
Fuzzy set theory
Integer programming
Mathematical models
Mathematical problems
Multiple criteria decision making
multiproduct
Programming
Studies
Suppliers
Supply chain management
vendor selection
Vendor supplier relations
volume discounts
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Vendor selection in supply chain is a multi-criteria problem that involves a number of quantitative and qualitative factors. This paper deals with a concrete problem of flour purchase by a company that manufactures bakery products. The selection process is driven by the price, reliability and quality objectives of the buyer and is subject to the capacity constraints of the vendors in the situation where all suppliers offer several kinds of flour (multiproduct situation). Vendors often offer quantity discounts, i.e. the purchasing price of flour depends on the quantity ordered. The multiproduct situation complicates the mathematical formulation of the problem and in this context it is much more convenient to consider the discounts of the money volume of business with every vendor. This problem has been solved using an integration of analytic hierarchy process (AHP), weighted sum model (WSM) and fuzzy multi-objective mixed-integer programming to define the optimum quantities among the selected suppliers.
ISSN:0020-7543
1366-588X
DOI:10.1080/00207543.2014.882525