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.
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
.
DOI: 10.16183/j.cnki.jsjtu.2019.10.003
[1]LEI L, LIU S, RUSZCZYNSKI A, et al. On the integrated production, inventory, and distribution routing problem[J]. IIE Transactions, 2006, 38(11): 955-970.
[2]RAA B. Fleet optimization for cyclic inventory routing problems[J]. International Journal of Production Economics, 2015, 160: 172-181.
[3]ABSI N, ARCHETTI C, DAUZRE-PRS S, et al. A two-phase iterative heuristic approach for the production routing problem[J]. Transportation Science, 2015, 49(4): 1-22.
[4]MOIN N H, YULIANA T. Three-phase methodology incorporating scatter search for integrated production, inventory, and distribution routing problem[J]. Mathematical Problems in Engineering, 2015, 2015(2): 1-11.
[5]BELO-FILHO M A F, AMORIM P, ALMADA-LOBO B. An adaptive large neighbourhood search for the operational integrated production and distribution problem of perishable products[J]. International Journal of Production Research, 2015, 53(20): 6040-6058.
[6]VANSTEENWEGEN P, MATEO M. An iterated local search algorithm for the single-vehicle cyclic inventory routing problem[J]. European Journal of Operational Research, 2014, 237(3): 802-813.
[7]陈誉文, 陆志强, 奚立峰. 聚类/禁忌搜索的协同物流网络资源需求定制与成本分析[J]. 上海交通大学学报, 2009(9): 1407-1411.
CHEN Yuwen, LU Zhiqiang, XI Lifeng. k-means clustering-tabu search algorithm for collaborative logistics network resource demands design and cost analysis[J]. Journal of Shanghai Jiao Tong University, 2009(9): 1407-1411.
[8]MIRZAEI S, SEIFI A. Considering lost sale in inventory routing problems for perishable goods[J]. Computers & Industrial Engineering, 2015, 87: 213-227.
[9]AZADEH A, ELAHI S, FARAHANI M H, et al. A genetic algorithm-taguchi based approach to inventory routing problem of a single perishable product with transshipment[J]. Computers & Industrial Engineering, 2017, 104: 124-133.
[10]BERMAN O, WANG Q. Inbound logistic planning: minimizing transportation and inventory cost[J]. Transportation Science, 2006, 40(3): 287-299.
[11]ARCHETTI C, CHRISTIANSEN M, SPERANZA M G. Inventory routing with pickups and deliveries[J]. European Journal of Operational Research, 2018, 268(1): 314-324.
[12]SOYSAL M, BLOEMHOF-RUWAARD J M, HAIJEMA R, et al. Modeling an inventory routing problem for perishable products with environmental considerations and demand uncertainty[J]. International Journal of Production Economics, 2015, 164: 118-133.
[13]ZHONG Y, AGHEZZAF E H. Combining DC-programming and steepest-descent to solve the single-vehicle inventory routing problem[J]. Computers & Industrial Engineering, 2011, 61(2): 313-321.