TY - JOUR
T1 - Supply chain impact from order lead time volatility
T2 - a computer-based simulation approach
AU - Lockstrom, Martin
N1 - Publisher Copyright:
Copyright © 2023 Inderscience Enterprises Ltd.
PY - 2023
Y1 - 2023
N2 - The bullwhip effect (BWE) is a well-known phenomenon in supply chain management. Whereas the past research has focused on factors like supply rationing, batch-size, lead-time, etc. mainly from an analytical perspective. This paper broadens the research by specifically examining the impact from order lead time volatility, not only on demand (order size) but also on inventory levels and supply chain cost. The result confirms past research and brings new insights in the impact on component and compound bullwhip effect behaviour across supply chain echelons by showing that order lead time volatility acts as a driver of BWE. Reducing BWE is a key lever for improving supply chain performance, and by extension, supply chain performance.
AB - The bullwhip effect (BWE) is a well-known phenomenon in supply chain management. Whereas the past research has focused on factors like supply rationing, batch-size, lead-time, etc. mainly from an analytical perspective. This paper broadens the research by specifically examining the impact from order lead time volatility, not only on demand (order size) but also on inventory levels and supply chain cost. The result confirms past research and brings new insights in the impact on component and compound bullwhip effect behaviour across supply chain echelons by showing that order lead time volatility acts as a driver of BWE. Reducing BWE is a key lever for improving supply chain performance, and by extension, supply chain performance.
KW - beer game
KW - bullwhip effect
KW - BWE
KW - simulation
UR - https://www.scopus.com/pages/publications/85166431116
U2 - 10.1504/IJAOM.2023.132280
DO - 10.1504/IJAOM.2023.132280
M3 - Article
AN - SCOPUS:85166431116
SN - 1758-938X
VL - 15
SP - 139
EP - 157
JO - International Journal of Advanced Operations Management
JF - International Journal of Advanced Operations Management
IS - 2
ER -