TY - GEN
T1 - Measuring supply chain complexity based on multi-criteria decision approach
AU - Piya, Sujan
AU - Khadem, Mohammad
AU - Al Kindi, Mahmoud
AU - Shamsuzzoha, Ahm
N1 - Publisher Copyright:
© IEOM Society International.
PY - 2020
Y1 - 2020
N2 - This study identified twenty-two drivers that cause the complexity in supply chain. The level of such complexity is quantified by using hybrid AHP and GRA method. A case company is studied in order to demonstrate the applicability of the proposed method. The results from the case company were analyzed and it is seen that the level of supply chain complexity of the case company is 0.44, which is signifying that there is a considerable scope of improvement in terms of minimizing complexity in its supply chain. From the study outcomes, it is realized that the case company mainly needs substantial improvement on the issues of “government regulation, “ “internal communication and information sharing, “ and “company culture“ in order to minimize the level of accompanied complexity in its supply chain.
AB - This study identified twenty-two drivers that cause the complexity in supply chain. The level of such complexity is quantified by using hybrid AHP and GRA method. A case company is studied in order to demonstrate the applicability of the proposed method. The results from the case company were analyzed and it is seen that the level of supply chain complexity of the case company is 0.44, which is signifying that there is a considerable scope of improvement in terms of minimizing complexity in its supply chain. From the study outcomes, it is realized that the case company mainly needs substantial improvement on the issues of “government regulation, “ “internal communication and information sharing, “ and “company culture“ in order to minimize the level of accompanied complexity in its supply chain.
KW - Analytical hierarchy process
KW - Case study
KW - Complexity measurement
KW - Grey relational analysis
KW - Supply chain complexity
UR - http://www.scopus.com/inward/record.url?scp=85089015191&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:85089015191
SN - 9781532359491
SN - 9781532359514
SN - 9781532359521
T3 - Proceedings of the International Conference on Industrial Engineering and Operations Management
SP - 2937
EP - 2944
BT - Proceedings of the International Conference on Industrial Engineering and Operations Management
PB - IEOM Society
T2 - 10th Annual International IEOM Conference, IEOM 2020
Y2 - 10 March 2020 through 12 March 2020
ER -