Encyclopedia of Information Science and Technology, Third Edition , Mehdi Khosrow-Pour D.B.A., Editör, IGI Global, Pennsylvania, ss.4961-4969, 2015
In the context of supply chain management, the supplier
selection decision plays a key role. In today’s globally
competitive environment, firms give great attention for
selecting right suppliers because it helps to reduce the
purchasing costs and to improve the quality of final
products and services.
Supplier Selection Problem (SSP) is a Multi Criteria
Decision Making (MCDM) problem which includes
both qualitative and quantitative factors like unit cost,
delivery on-time, service quality etc. Multiple criteria
of SSP may conflict with each other, so the selection
process becomes complicated. SSP contains two major
problems: (i) which supplier(s) should be chosen? and
(ii) how much should be purchased from each selected
supplier? In the last several years, SSP has gained great
importance and is studied by both academic researchers
and practitioners in business environment.
Generally, MCDM is handled under two main
headings: Multi Attribute Decision Making (MADM)
and Multi Objective Decision Making (MODM).
Based on this, we classify the existing approaches for
SSP in mainly four categories: MADM approaches,
MODM approaches, Artificial Intelligence (AI) approaches and other approaches. Here, other approaches
category contains for the most part the integrated
MCDM techniques for SSP. In this study, we aim
to provide fundamental information about SSP and
its prevalent solution methods. The sources used for
our study consist of scientific refereed journals and
are selected with respect to their citation rate and the
ability of presenting the contained technique well.
Also the publications in languages other than English
and non-refereed professional ones are not included.