TY - GEN
T1 - Identification and Prioritization of Lean Supply Chain Management Factors Using Analytical Hierarchy Process
AU - Al Amin, Md
AU - Baldacci, Roberto
AU - Promi, Anika Tabassum
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The main objective of this research is to identify and prioritize the influential factors of Lean Supply Chain Management (LSCM). This research uses a thorough literature review and interviewing of the relevant and significant experts involved in lean implementation. The Analytic Hierarchy Process technique is used to address issues and conduct a paired comparison of these factors to determine their impact on LSCM. Fifteen experts performed the pairwise comparison to determine the most influential criteria and alternatives of LSCM. Top management appeared as the most important criterion based on the derived weights, followed by technology, system, and human resource management. Among other choices, these criteria also precede lean supply chain characteristics. Decision-makers can effectively allocate resources and implement initiatives to improve LSCM practices by recognizing the relative relevance of criteria. This research offers a significant contribution to advancing the sustainable supply chain by prioritizing factors related to LSCM and implementing appropriate measures based on those priorities.
AB - The main objective of this research is to identify and prioritize the influential factors of Lean Supply Chain Management (LSCM). This research uses a thorough literature review and interviewing of the relevant and significant experts involved in lean implementation. The Analytic Hierarchy Process technique is used to address issues and conduct a paired comparison of these factors to determine their impact on LSCM. Fifteen experts performed the pairwise comparison to determine the most influential criteria and alternatives of LSCM. Top management appeared as the most important criterion based on the derived weights, followed by technology, system, and human resource management. Among other choices, these criteria also precede lean supply chain characteristics. Decision-makers can effectively allocate resources and implement initiatives to improve LSCM practices by recognizing the relative relevance of criteria. This research offers a significant contribution to advancing the sustainable supply chain by prioritizing factors related to LSCM and implementing appropriate measures based on those priorities.
KW - AHP
KW - Lean Supply Chain Management
KW - MCDM
UR - https://www.scopus.com/pages/publications/85186095464
U2 - 10.1109/IEEM58616.2023.10406878
DO - 10.1109/IEEM58616.2023.10406878
M3 - Conference contribution
AN - SCOPUS:85186095464
T3 - 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
SP - 431
EP - 436
BT - 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
Y2 - 18 December 2023 through 21 December 2023
ER -