Lateral transshipment is an effective and paradoxical way in sharing inventory process. On the one hand, the total cost of inventory system can be reduced and on the other hand, the transportation costs will be increased in transit. The time window Wk, which helps to identify different service classes for consumer groups through diversified level of service,is presented to build the three-echelon spare parts logistics network with inventory sharing and time service level limit. The distribution network model with the input of n groups of customers contains a manufacturer, a RDC and the DC parameter——the default value is m. In the queuing system model, customer's requirements are independent of each other and obey the Poisson distribution; order lead time of DC obeys Exponential distribution, so as to standardize the actual complex problems. The detailed research idea of dissertation is as following:(1) a distribution network system is established considering the constraints of service level and inventory pooling so that the total cost can be reduced compared with the traditional way, and then some of inventory parameters such as repurchase dots, order quantity and etc. are considered as the decision-making factors at the same time in the three layers of tree network distribution system model in order to optimize the complex system cost of the local and global; (2) in view of the features of the problems derived from the production and the model described in the first part,a new improve algorithm is designed, based on the idea of greedy algorithm to solve the lateral transshipments model problem and get the optimal solution of decision variables in order to provide reference to managers and increase profits and resources utilization by reducing the cost; (3) through an analysis on the sharing project of the company named China Aviation Supplies Holding Company(CASC), the data from Southwest regions (DC1), northwest regions (DC2) and northeast regions (DC3) of the company is used to construct and validate the model so that the rationality of the model and the feasibility of the algorithm can be seen in the three-stage spare parts distribution system of the paper. Research results indicate that in the tertiary distribution network, when the RDC adopt continuous review (Q, R) replenishment strategy and DC with (Q, R, H), the replenishment strategy of system make total cost lower than the continuous review inventory strategy such as One-for-One ordering strategy which is widely adopted strategies of inventory check in production. inventory sharing strategy between DC can effectively reduce the cost of the whole system and in the case study costs is cut about 30%.
JI Shou-feng, WAN Peng, SUN Qi, LUO Rong-juan
. The Lateral Transshipments Model and Algorithm for Three-echelon Spare Parts Logistics Network with Service Levels Constraints[J]. Chinese Journal of Management Science, 2016
, 24(12)
: 72
-81
.
DOI: 10.16381/j.cnki.issn1003-207x.2016.12.009
[1] Axsater S. Modeling emergency lateral transshipments in inventory systems[J]. Management Science, 1990,36(10):1329-1338.
[2] Kutanoglu E, Mahajan M. An inventory sharing and allocation method for a multi-location service parts logistics network with time-based service level[J]. European Journal of Operational Research,2009,194(3): 69-584.
[3] Seidscher A, Minner S. A Semi-Markov decision problem for proactive and reactive transshipments between multiple warehouses[J]. European Journal of Operational Research, 2013, 230(1): 42-52.
[4] Chen Xin, Gao Xiangyu, Hu Zhenyu.A new approach to two-location joint inventory and transshipment control via L ?-convexity[J].Operations Research Letters,2015,43(1):65-68.
[5] Özdemira D, Yücesanb E, Hererc Y T.Multi-location transshipment problem with capacitated roduction[J].European Journal of Operational Research,2013,226(3):425-435.
[6] Alvarez E M, Van der Heijden M C, Vliegen I M H, et al. Service differentiation through selective lateral transshipments[J]. European journal of operational research, 2014, 237(3): 824-835.
[7] Liao Yi, Shen Wenjing, Hu Xinxin, et al. Optimal responses to stockouts: Lateral transshipment versus emergency order policies[J]. Omega, 2014, 49: 79-92.
[8] Olsson F. Emergency lateral transshipments in a two-location inventory system with positive transshipment leadtimes[J]. European Journal of Operational Research, 2015, 242(2): 424-433.
[9] Axsater S. Evaluation of unidirectional lateral transshipments and substitutions in inventory systems[J].European Journal of Operational Research,2003,149(2):438-447.
[10] Tamjidzad S, Mirmohammadi S H. An optimal (r, Q) policy in a stochastic inventory system with all-units quantity discount and limited sharable resource[J]. European Journal of Operational Research, 2015, 247(1): 93-100.
[11] Choi K, Narasimhan R, Kim S W.Postponement strategy for international transfer of products in a global supply chain: A system dynamics examination[J].Journal of Operations Management,2012,30(3):167-179.
[12] KazemiZanjani M, Nourelfath M.Integrated spare parts logistics and operations planning for maintenance service providers[J].International Journal of Production Economics,2014,158(12):44-53.
[13] Al-e-hashema S M J M, Rekik Y.Multi-product multi-period Inventory Routing Problem with a transshipment option: A green approach[J].International Journal of Production Economics,2014,157(11):80-88.
[14] Liang Chao, Sethi S P, Shi Ruixia, et al.Inventory sharing with transshipment: Impacts of demand distribution shapes and setup costs[J]. Production and Operations Management, 2014,23(10):1779-1794.
[15] Glazebrook K, Paterson C, Rauscher S, et al.Benefits of hybrid lateral transshipments in multi-item inventory systems under periodic replenishment[J]. Production and Operations Management, 2015.24(2):311-324.
[16] 缪朝炜,杨凤,徐东升,等.越库转运问题的自适应遗传算法研究[J].管理科学学报, 2011,14(6): 28-38,99.
[17] 陈敬贤,王国华,梁樑.协调多零售商横向转载的收益共享契约[J].中国管理科学, 2013,21(3):79-87.
[18] 邵婧.两层级分散决策供应链库存转运问题研究, 2016,24(1): 76-81.
[19] Huang Shuo, Axsäter S, Dou Yifan, et al. A real-time decision rule for an inventory system with committed service time and emergency orders[J]. European Journal of Operational Research,2011,215(1):70-79.
