TY - JOUR
T1 - Monitoring Type B Buyer-Supplier Relationships
AU - Faraz, Alireza
AU - Sanders, Nada
AU - Zacharia, Zach
AU - Gerschberger, Markus
N1 - Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/9/17
Y1 - 2018/9/17
N2 - The ability to monitor supplier performance is a critical capability for maintaining strong buyer–supplier relationships.
Monitoring type B suppliers is especially challenging as they are not as clearly defined as either type A, with strong
strategic partnerships, or type C, with little partnership. This research develops a non-parametric multivariate Hoteling’s
T2 control chart to capture the in-control state of a dyadic relationship (Phase I), and show how it would be developed
based on survey data of buyer–supplier relationship attributes. Modelling the satisfactory level of dyadic relationship performance
is very useful for identifying when the relationship begins to move away from the desired state. We then use
the designed control chart to monitor the relationship between dyads over time to determine if any unusual behaviour
has occurred (Phase II) and illustrate its implementation through a case study from the auto industry. This research illustrates
how supply chain managers can secure and improve their supply chain performance by monitoring and maintaining
strong relationships with their partners. The proposed method extends the existing SPC tools to effectively manage
Type B buyer–supplier relationships.
AB - The ability to monitor supplier performance is a critical capability for maintaining strong buyer–supplier relationships.
Monitoring type B suppliers is especially challenging as they are not as clearly defined as either type A, with strong
strategic partnerships, or type C, with little partnership. This research develops a non-parametric multivariate Hoteling’s
T2 control chart to capture the in-control state of a dyadic relationship (Phase I), and show how it would be developed
based on survey data of buyer–supplier relationship attributes. Modelling the satisfactory level of dyadic relationship performance
is very useful for identifying when the relationship begins to move away from the desired state. We then use
the designed control chart to monitor the relationship between dyads over time to determine if any unusual behaviour
has occurred (Phase II) and illustrate its implementation through a case study from the auto industry. This research illustrates
how supply chain managers can secure and improve their supply chain performance by monitoring and maintaining
strong relationships with their partners. The proposed method extends the existing SPC tools to effectively manage
Type B buyer–supplier relationships.
KW - Hotelling’s T control chart
KW - Non-parametric methods
KW - SPC
KW - buyer–supplier relationships
KW - quantitative methods
KW - supply chain management
UR - http://www.scopus.com/inward/record.url?scp=85042925971&partnerID=8YFLogxK
U2 - 10.1080/00207543.2018.1444285
DO - 10.1080/00207543.2018.1444285
M3 - Article
SN - 0020-7543
VL - 56
SP - 6225
EP - 6239
JO - International Journal of Production Research
JF - International Journal of Production Research
IS - 18
ER -