Integration of practices and customer values in a supply chain

Meysam Maleki, Virgilio Cruz-Machado

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The ultimate goal of supply chains is to satisfy their end customers. To do so, they implement a set of practices along their chain in order to generate value for customers. Therefore, aligning supply chain practices with customer values is a core objective of supply chains. The current research employs Bayesian Networks (BNs) and Analytic Network Processes (ANPs) to integrate practices and customer values in a supply chain as well as quantifying their mutual correlations. In the first phase, it collects and analyzes data about six specific customer values; in the second phase, the importance of practices is evaluated by experts in the respective industry using ANPs; and in the final phase, the output of the two analyses meet in a BN to generate a model which is capable of quantifying their mutual correlations given the input data. In addition, the proposed approach can handle scenarios for identifying whether a specific customer value is preferred by the end customer and what practices should be implemented; or vice versa, in cases where a specific practice is implemented, identifying how it contributes to customer values. This approach is applied to a case study in the food industry in order to present its application empirically.

Original languageEnglish
Pages (from-to)9-19
Number of pages11
JournalInternational Journal of Management Science and Engineering Management
Volume10
Issue number1
DOIs
Publication statusPublished - 2 Jan 2015

Fingerprint

Supply chains
Bayesian networks
Preferred numbers
Industry
Supply chain
Customer value
Analytic network process

Keywords

  • customer value
  • food industry
  • integration
  • practices
  • supply chain management

Cite this

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Integration of practices and customer values in a supply chain. / Maleki, Meysam; Cruz-Machado, Virgilio.

In: International Journal of Management Science and Engineering Management, Vol. 10, No. 1, 02.01.2015, p. 9-19.

Research output: Contribution to journalArticle

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