Logical approach for evaluation of supply chain alternatives
P. Parthiban,
M. Punniyamoorthy,
K. Ganesh,
N.L. Parthasarathi and
Subramaniam Arunachalam
International Journal of Management and Decision Making, 2008, vol. 9, issue 2, 204-223
Abstract:
The supply chain of manufacturing industry has been under constant pressure to improve competitiveness, and supply chain network design is generally seen as one of the important means of resolution. The design or redesign of supply chain network entails taking decisions on a range of strategic issues, including the selection of suppliers, choosing the transportation link/node, location and selection of warehouses, etc. Total cost to serve is often used as the major factor in evaluation of supply chain network design, whereas enough attention in including the importance of customers for the evaluation of network remains challenging. The purpose of this study is to propose a logical approach by which the importance of customer weightage can be included in the evaluation of supply chain network design. The logical approach uses the Analytic Hierarchy Process (AHP) technique for evaluation. The logical approach is demonstrated with a numerical example.
Keywords: logistics networks; warehouses; distribution; decision support systems; DSS; analytical hierarchy process; AHP; supply chain alternatives; supply chain management; SCM; decision making; evaluation; network design; customer input. (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=17200 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmdma:v:9:y:2008:i:2:p:204-223
Access Statistics for this article
More articles in International Journal of Management and Decision Making from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().