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An analytic model for measuring customer's service preferences in manufacturing supply chain

  • Lina Zhou*
  • , Xiaofei Xu
  • , Shengchun Deng
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Customers in today's marketplace are more demanding, not just of products, but also of service. For manufacturing industries, having a good understanding of the customer's preferences is a key issue to improve customer's satisfaction. Although many approaches for gaining customer's product preferences are reported in the literatures, the problem of analysis customer's service preferences is still not well addressed. To that end, a fuzzy analytic network process (F-ANP) model for measuring the customer's service preferences is proposed in this paper. Firstly, the service factors are summarized under three sales stages. Secondly, based on the complex relationships between the service factors and the customers, the decision network is constructed, and the F-ANP decision process is developed. Finally, a case study is provided to demonstrate the effectiveness of the proposed model.

Original languageEnglish
Title of host publicationProceedings of 2008 IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008
Pages2490-2495
Number of pages6
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008 - Beijing, China
Duration: 12 Oct 200815 Oct 2008

Publication series

NameProceedings of 2008 IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008
Volume2

Conference

Conference2008 IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008
Country/TerritoryChina
CityBeijing
Period12/10/0815/10/08

Keywords

  • ANP
  • SCM
  • Service preferences
  • TFN

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