Integration of supply chain performance with customer values through combining analytical network process and Bayesian network

Meysam Maleki, Viktoria Bashkite, Virgilio Cruz Machado

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Development of integration model for supply chain has been the concern of many scholars in the new century. Although a comprehensive integration model is not yet developed. However, different research works has shed light on different aspects of it .This research propose combination of analytical network process and Bayesian network to generate a novel supply chain integration model. Analytical network process is used in the enterprise side of the model where experts study applicable practices while Bayesian network is employed on the downstream end where end customer is receiving outputs (product / services). Combining these two methods enables supply chains to prioritize practices based on end customer preferences resulting in higher customer perceived values. In addition, the marginal benefit is reduction of over production as the most harmful waste.

Original languageEnglish
Title of host publication23rd DAAAM International Symposium on Intelligent Manufacturing and Automation 2012
PublisherDanube Adria Association for Automation and Manufacturing, DAAAM
Pages297-300
Number of pages4
Volume1
Publication statusPublished - 2012
Event23rd DAAAM International Symposium on Intelligent Manufacturing and Automation 2012 - Zadar, Croatia
Duration: 24 Oct 201227 Oct 2012

Conference

Conference23rd DAAAM International Symposium on Intelligent Manufacturing and Automation 2012
CountryCroatia
CityZadar
Period24/10/1227/10/12

Fingerprint

Bayesian networks
Supply chains
Industry

Keywords

  • Analytical network process
  • Bayesian network
  • Customer value
  • Supply chain integration

Cite this

Maleki, M., Bashkite, V., & Machado, V. C. (2012). Integration of supply chain performance with customer values through combining analytical network process and Bayesian network. In 23rd DAAAM International Symposium on Intelligent Manufacturing and Automation 2012 (Vol. 1, pp. 297-300). Danube Adria Association for Automation and Manufacturing, DAAAM.
Maleki, Meysam ; Bashkite, Viktoria ; Machado, Virgilio Cruz. / Integration of supply chain performance with customer values through combining analytical network process and Bayesian network. 23rd DAAAM International Symposium on Intelligent Manufacturing and Automation 2012. Vol. 1 Danube Adria Association for Automation and Manufacturing, DAAAM, 2012. pp. 297-300
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Maleki, M, Bashkite, V & Machado, VC 2012, Integration of supply chain performance with customer values through combining analytical network process and Bayesian network. in 23rd DAAAM International Symposium on Intelligent Manufacturing and Automation 2012. vol. 1, Danube Adria Association for Automation and Manufacturing, DAAAM, pp. 297-300, 23rd DAAAM International Symposium on Intelligent Manufacturing and Automation 2012, Zadar, Croatia, 24/10/12.

Integration of supply chain performance with customer values through combining analytical network process and Bayesian network. / Maleki, Meysam; Bashkite, Viktoria; Machado, Virgilio Cruz.

23rd DAAAM International Symposium on Intelligent Manufacturing and Automation 2012. Vol. 1 Danube Adria Association for Automation and Manufacturing, DAAAM, 2012. p. 297-300.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Bashkite, Viktoria

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N2 - Development of integration model for supply chain has been the concern of many scholars in the new century. Although a comprehensive integration model is not yet developed. However, different research works has shed light on different aspects of it .This research propose combination of analytical network process and Bayesian network to generate a novel supply chain integration model. Analytical network process is used in the enterprise side of the model where experts study applicable practices while Bayesian network is employed on the downstream end where end customer is receiving outputs (product / services). Combining these two methods enables supply chains to prioritize practices based on end customer preferences resulting in higher customer perceived values. In addition, the marginal benefit is reduction of over production as the most harmful waste.

AB - Development of integration model for supply chain has been the concern of many scholars in the new century. Although a comprehensive integration model is not yet developed. However, different research works has shed light on different aspects of it .This research propose combination of analytical network process and Bayesian network to generate a novel supply chain integration model. Analytical network process is used in the enterprise side of the model where experts study applicable practices while Bayesian network is employed on the downstream end where end customer is receiving outputs (product / services). Combining these two methods enables supply chains to prioritize practices based on end customer preferences resulting in higher customer perceived values. In addition, the marginal benefit is reduction of over production as the most harmful waste.

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Maleki M, Bashkite V, Machado VC. Integration of supply chain performance with customer values through combining analytical network process and Bayesian network. In 23rd DAAAM International Symposium on Intelligent Manufacturing and Automation 2012. Vol. 1. Danube Adria Association for Automation and Manufacturing, DAAAM. 2012. p. 297-300