Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Use of fuzzy AHP for evaluating the benefits of information‐sharing decisions in a supply chain

Use of fuzzy AHP for evaluating the benefits of information‐sharing decisions in a supply chain Purpose – The purpose of this paper is to provide a good insight into the use of fuzzy Analytical Hierarchy Process (fuzzy AHP) approach that is a multi‐criteria decision‐making methodology in evaluating the benefits of information‐sharing decision problems. Design/methodology/approach – In this study, the integration of AHP with the fuzzy synthetic extent analysis method (fuzzy AHP) is proposed in evaluating the benefits of information‐sharing decision problems as a framework to guide managers. Findings – Findings demonstrate that the customer requirement and operational information alternatives are the preferred key decisions, which all supply chain partners might agree to share with one another. Further, it can also be concluded that the planning and financial information alternatives have almost the same importance. Research limitations/implications – Fuzzy AHP is a highly complex methodology and requires more numerical calculations in assessing composite priorities than the traditional AHP and hence it increases the effort. In addition, fuzzy methodology could be extended with the other multi‐criteria decision‐making (MCDM) methods such as Analytical Network Process (ANP), TOPSIS, ELECTRE and DEA techniques in solving such a problem. Originality/value – There is a lack of research in the literature to deal directly with the uncertainty of human judgements in evaluating the benefits of various information‐sharing decisions in a supply chain. Therefore, fuzzy AHP is an appropriate methodology to select the various types of information and has the ability to be used as a decision‐making analysis tool since it handles uncertain and imprecise data. In addition, the paper is especially of interest to managers as they make decisions on which types of information they should share with their supply chain partners. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Enterprise Information Management Emerald Publishing

Use of fuzzy AHP for evaluating the benefits of information‐sharing decisions in a supply chain

Selçuk Perçin
Journal of Enterprise Information Management , Volume 21 (3): 22 – Apr 18, 2008
Download PDF
22 pages

Loading next page...
 
/lp/emerald-publishing/use-of-fuzzy-ahp-for-evaluating-the-benefits-of-information-sharing-t0aKTDdibh

References (52)

Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
1741-0398
DOI
10.1108/17410390810866637
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to provide a good insight into the use of fuzzy Analytical Hierarchy Process (fuzzy AHP) approach that is a multi‐criteria decision‐making methodology in evaluating the benefits of information‐sharing decision problems. Design/methodology/approach – In this study, the integration of AHP with the fuzzy synthetic extent analysis method (fuzzy AHP) is proposed in evaluating the benefits of information‐sharing decision problems as a framework to guide managers. Findings – Findings demonstrate that the customer requirement and operational information alternatives are the preferred key decisions, which all supply chain partners might agree to share with one another. Further, it can also be concluded that the planning and financial information alternatives have almost the same importance. Research limitations/implications – Fuzzy AHP is a highly complex methodology and requires more numerical calculations in assessing composite priorities than the traditional AHP and hence it increases the effort. In addition, fuzzy methodology could be extended with the other multi‐criteria decision‐making (MCDM) methods such as Analytical Network Process (ANP), TOPSIS, ELECTRE and DEA techniques in solving such a problem. Originality/value – There is a lack of research in the literature to deal directly with the uncertainty of human judgements in evaluating the benefits of various information‐sharing decisions in a supply chain. Therefore, fuzzy AHP is an appropriate methodology to select the various types of information and has the ability to be used as a decision‐making analysis tool since it handles uncertain and imprecise data. In addition, the paper is especially of interest to managers as they make decisions on which types of information they should share with their supply chain partners.

Journal

Journal of Enterprise Information Management – Emerald Publishing

Published: Apr 18, 2008

Keywords: Supply chain management; Analytical hierarchy process; Decision making

There are no references for this article.