TY - GEN
T1 - Solution Algorithm for The Multi-period Inventory Transshipment Problem Considering Rentals and Returns
AU - Kadota, Keiya
AU - Sato, Tetsuya
AU - Shiina, Takayuki
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Supply chain management is a large-scale planning under uncertainty. It is significant that building an efficient supply chain under uncertain conditions is a challenge. There are numerous traditional inventory transshipment models targeting only demands but do not include rentals and returns. This study provides the uncertainty between rentals and returns by scenarios using a multi-period stochastic programming model of inventory transshipment problems. The moment matching method was used to reduce the number of scenarios, and the comparative experiment demonstrated the utility of this model.
AB - Supply chain management is a large-scale planning under uncertainty. It is significant that building an efficient supply chain under uncertain conditions is a challenge. There are numerous traditional inventory transshipment models targeting only demands but do not include rentals and returns. This study provides the uncertainty between rentals and returns by scenarios using a multi-period stochastic programming model of inventory transshipment problems. The moment matching method was used to reduce the number of scenarios, and the comparative experiment demonstrated the utility of this model.
KW - inventory transshipment
KW - stochastic programming
KW - supply chain
UR - http://www.scopus.com/inward/record.url?scp=85133200259&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85133200259&partnerID=8YFLogxK
U2 - 10.1109/IIAI-AAI53430.2021.00151
DO - 10.1109/IIAI-AAI53430.2021.00151
M3 - Conference contribution
AN - SCOPUS:85133200259
T3 - Proceedings - 2021 10th International Congress on Advanced Applied Informatics, IIAI-AAI 2021
SP - 867
EP - 872
BT - Proceedings - 2021 10th International Congress on Advanced Applied Informatics, IIAI-AAI 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Congress on Advanced Applied Informatics, IIAI-AAI 2021
Y2 - 11 July 2021 through 16 July 2021
ER -