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 language | English |
|---|---|
| Pages (from-to) | 9-19 |
| Number of pages | 11 |
| Journal | International Journal of Management Science and Engineering Management |
| Volume | 10 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2 Jan 2015 |
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Keywords
- customer value
- food industry
- integration
- practices
- supply chain management
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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 journal › Article
TY - JOUR
T1 - Integration of practices and customer values in a supply chain
AU - Maleki, Meysam
AU - Cruz-Machado, Virgilio
PY - 2015/1/2
Y1 - 2015/1/2
N2 - 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.
AB - 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.
KW - customer value
KW - food industry
KW - integration
KW - practices
KW - supply chain management
UR - http://www.scopus.com/inward/record.url?scp=85015508645&partnerID=8YFLogxK
U2 - 10.1080/17509653.2014.937837
DO - 10.1080/17509653.2014.937837
M3 - Article
VL - 10
SP - 9
EP - 19
JO - International Journal of Management Science and Engineering Management
JF - International Journal of Management Science and Engineering Management
SN - 1750-9653
IS - 1
ER -