Order Quantity Collaborative Model and
 Algorithm Research on Inbound Logistics

doi:10.16183/j.cnki.jsjtu.2019.10.003

Abstract

Abstract: The order collaboration in automobile inbound logistics is studied. A mixed integer programming model is established. A heuristic algorithm and a branch and bound method are proposed. The numerical experiments are carried out to verify the feasibility of the model and algorithm. The results show that the proposed heuristic algorithm and branch and bound method are superior to CPLEX in computing speed and result. Collaboration of order quantity can effectively reduce the total cost.

Key words: inbound logistics; order quantity collaboration; mixed integer programming; optimization algorithm

CLC Number:

C 935

ZHANG Xuan,CHEN Feng. Order Quantity Collaborative Model and Algorithm Research on Inbound Logistics[J]. Journal of Shanghai Jiaotong University, 2019, 53(10): 1159-1164.

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Order Quantity Collaborative Model and Algorithm Research on Inbound Logistics

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