TY - GEN
T1 - Stochastic inventory routing problem under B2C E-commerce
AU - Xie, Binglei
AU - An, Shi
AU - Wang, Jian
PY - 2005
Y1 - 2005
N2 - In traditional B2C, customers' stocks are usually controlled by themselves, while the supplier needs only to meet requests of customers by sending right commodity on time. The operation mode results in disadvantages of hindering saving of cost and improvement of efficiency. Being one of the key contents in vendor managed inventory, inventory routing problem will help supplier to lower operation cost, improve efficiency and increase satisfaction of customers. In the paper, a heuristic algorithm is designed to solve stochastic inventory routing problem. In the algorithm, followed by converting stochastic demands of customers to regular demands, distribution period of every customer is calculated by the modified EOQ. Finally, approximate solution of stochastic inventory routing problem can be obtained by solving periodic vehicle routing problem.
AB - In traditional B2C, customers' stocks are usually controlled by themselves, while the supplier needs only to meet requests of customers by sending right commodity on time. The operation mode results in disadvantages of hindering saving of cost and improvement of efficiency. Being one of the key contents in vendor managed inventory, inventory routing problem will help supplier to lower operation cost, improve efficiency and increase satisfaction of customers. In the paper, a heuristic algorithm is designed to solve stochastic inventory routing problem. In the algorithm, followed by converting stochastic demands of customers to regular demands, distribution period of every customer is calculated by the modified EOQ. Finally, approximate solution of stochastic inventory routing problem can be obtained by solving periodic vehicle routing problem.
KW - B2C
KW - Inventory routing problem
KW - Logistics
KW - Vendor management inventory
UR - https://www.scopus.com/pages/publications/33845490830
U2 - 10.1109/ICEBE.2005.112
DO - 10.1109/ICEBE.2005.112
M3 - 会议稿件
AN - SCOPUS:33845490830
SN - 0769524303
SN - 9780769524306
T3 - Proceedings - ICEBE 2005: IEEE International Conference on e-Business Engineering
SP - 630
EP - 633
BT - Proceedings - ICEBE 2005
T2 - ICEBE 2005: IEEE International Conference on e-Business Engineering
Y2 - 18 October 2005 through 21 October 2005
ER -