Combining AHP and TOPSIS method for logistics hub selection

Apichat Sopadang and Ruth Banomyong

International Journal of Management and Decision Making, 2016, vol. 15, issue 2, 134-153

Abstract: The purpose of this paper is to propose a methodology to help identify country-level logistics hub (Thailand, Lao PDR and Vietnam) along the East-West Economic Corridor (EWEC) using two mathematical methods. Phase 1 identified five main factors impacting logistics hub selection that are derived from the literature studies. These factors are trade volume, infrastructure, institutional framework, service providers, shippers and consignees. Phase 2 utilises the analytic hierarchy process (AHP) method to define weight for each criterion. Experts in related fields were interviewed in order to make dyadic comparisons. Phase 3 focussed on the technique for order preference by similarity to ideal solution method to rate alternatives by assigning weights defined through AHP and by calculating which alternative is the nearest to the ideal solution. The findings conclude that Thailand, particularly thanks to its large trade volume, is the best country to be considered as a logistics hub for the EWEC.

Keywords: AHP; analytical hierarchy process; Thailand; Laos; Lao PDR; Vietnam; East-West Economic Corridor; EWEC; logistics hubs; logistics hub selection; TOPSIS; trade volume; infrastructure; institutional framework; service providers; shippers; consignees. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.inderscience.com/link.php?id=77764 (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:15:y:2016:i:2:p:134-153

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 ().