TY - GEN
T1 - Robust Inventory Routing Problem with Replenishment Lead Time
AU - Zheng, Weibo
AU - Zhou, Hong
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - The inventory routing problem (IRP) is studying how to deliver products to several customers from the supplier, which is a combination of inventory management and vehicle routing problems. This paper studied an IRP with considering the time consumption in transportation, which is the replenishment lead time. In this problem, the delivery sequence impacts the transport cost and the replenishment lead time of customers. Three decisions should be made: 1) which customer should be replenished; 2) how much goods should be delivered; 3) the delivery sequence. In this paper, we proposed a single period model, which can very easily be extended to a rolling horizon policy for solving the infinity horizon IRP. We discussed the closed-form solution of robust inventory policy and proposed a Genetic Algorithm to solve this problem. Finally, a numerical example is provided to indicate the feasibility of the algorithm.
AB - The inventory routing problem (IRP) is studying how to deliver products to several customers from the supplier, which is a combination of inventory management and vehicle routing problems. This paper studied an IRP with considering the time consumption in transportation, which is the replenishment lead time. In this problem, the delivery sequence impacts the transport cost and the replenishment lead time of customers. Three decisions should be made: 1) which customer should be replenished; 2) how much goods should be delivered; 3) the delivery sequence. In this paper, we proposed a single period model, which can very easily be extended to a rolling horizon policy for solving the infinity horizon IRP. We discussed the closed-form solution of robust inventory policy and proposed a Genetic Algorithm to solve this problem. Finally, a numerical example is provided to indicate the feasibility of the algorithm.
KW - Inventory routing problem (IRP)
KW - replenishment lead time
KW - robust optimization
KW - uncertain demand
UR - https://www.scopus.com/pages/publications/85079623392
U2 - 10.1109/IEEM44572.2019.8978718
DO - 10.1109/IEEM44572.2019.8978718
M3 - 会议稿件
AN - SCOPUS:85079623392
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 825
EP - 829
BT - 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
PB - IEEE Computer Society
T2 - 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
Y2 - 15 December 2019 through 18 December 2019
ER -