Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27300
Title: An AHP model for selection of suppliers in the fast changing fashion market
Authors: Chan, FTS 
Chan, HK
Keywords: AHP
Apparel
Supplier selection
Supply chain
Issue Date: 2010
Publisher: Springer
Source: International journal of advanced manufacturing technology, 2010, v. 51, no. 9-12, p. 1195-1207 How to cite?
Journal: International journal of advanced manufacturing technology 
Abstract: In the fast-changing fashion market, being flexible and adaptive is a key to survival. Therefore, supply chain strategy like quick response is important in the fashion or textile industry. Selection of suppliers to support such strategies is thus one of the most critical activities, but is not well studied. Traditionally, suppliers are selected usually based on quantity requirement and cost, which are not the only important issues in the operation of a textile supply chain nowadays. This study presents an example on solving the supplier selection problem in the apparel industry by using the Analytical Hierarchy Process (AHP), which takes the operational performance (for example, flexibility, cost, and delivery) into account for supporting supply chain strategies. The system was implemented with the aid of the commercial software package Expert Choice. Based on the results from the AHP model, benefits of implementing quick response in apparel supply chains can also be verified.
URI: http://hdl.handle.net/10397/27300
ISSN: 0268-3768
EISSN: 1433-3015
DOI: 10.1007/s00170-010-2683-6
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

54
Last Week
0
Last month
1
Citations as of Aug 14, 2017

WEB OF SCIENCETM
Citations

34
Last Week
3
Last month
2
Citations as of Aug 21, 2017

Page view(s)

55
Last Week
1
Last month
Checked on Aug 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.