Multi-Scenario Optimisation Model for Reusable Logistics Resource Allocation

被引：0
|
作者：
Ren J. [1 ,2 ]
Chen C. [3 ,4 ]
Zhang X. [5 ]
机构：
[1] Transportation Institute, Inner Mongolia University, Hohhot
[2] School of Mathematical Sciences, Inner Mongolia University, Hohhot
[3] School of Business Administration, Jiangxi University of Finance and Economics, Nanchang
[4] Inner Mongolia Branch of Agricultural Bank of China, Hohhot
[5] School of Transportation & Logistics, Southwest Jiaotong University, Chengdu
来源：
Chen, Chunhua (nmgchenchunhua@126.com) | 2018年 / Science Press卷 / 53期
关键词：
China-Europe express railway; Logistics; Reusable resources; Scenario planning; Uncertainty;
D O I：
10.3969/j.issn.0258-2724.2018.06.024
中图分类号：
学科分类号：
摘要：
In order to solve the reusable logistics resource(RLR)allocation problem where some uncertain parameters cannot be estimated using historical data, and the types and dimensions of RLR are varied, a multi-scenario optimisation model for RLR allocation was studied using the method of scenario planning. First, the features of RLR and the RLR allocation processes over a pooling system were analysed. Then, a multi-scenario optimisation model for RLR allocation was presented considering that some kinds of resources were capable of being replaced with other kinds while some other kinds of resources were not. The number of demand, recycle, and some other parameters were divided into two parts(certain and uncertain)in the model. Finally, the validity of the model was proved using a case study and the plan for the China-Europe express railway RLR system was proposed based on the results. The results showed that the proposed multi-scenario could make good demand fulfilment and recycling fulfilment. It was also proved that the total expected cost by using multi-scenario model could be reduced by 1.7% and 5.7%, as opposed to the deterministic models considered in both cases. © 2018, Editorial Department of Journal of Southwest Jiaotong University. All right reserved.
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页码：1270 / 1277
页数：7
相关论文
共 15 条
  • [1] Ren J., Li Q., Reusable logistics resources pooling systems, Logistics & Material Handling, 19, 8, pp. 102-104, (2014)
  • [2] Wu Q., Discussion on set up of China pallet pool system, Logistics & Material Handling, 8, 12, pp. 1-4, (2003)
  • [3] Wang Z., Wu Y., Collaborative aircrafts scheduling strategy in metroplex terminal area based on FS-MOPSO, Journal of Southwest Jiaotong University, 52, 1, pp. 179-185, (2017)
  • [4] Crainic T.G., Gendreau M., Soriano P., Et al., A Tatu procedure for multi-commondity location/allocation with balancing requirements, Annals of Operations Research, 41, 4, pp. 359-383, (1993)
  • [5] Ji Q., Hu X., Sun L., Empty container allocation: status and perspectives, Systems Engineering Theory & Practice, 34, 6, pp. 1578-1586, (2014)
  • [6] Ren J., Zhang X., Zhang J., Et al., A multi-scenario model for pallets allocation over a pallet pool, Systems Engineering Theory & Practice, 34, 7, pp. 1788-1798, (2014)
  • [7] Pomerol J., Scenario development and practical decision making under uncertainty, Decision Support Systems, 31, 2, pp. 197-204, (2001)
  • [8] Brindley C., Position is everything: rising transport costs make pallet logistics more critical for success, Pallet Enterprise, 6, pp. 24-28, (2011)
  • [9] Zhou K., He S., Song R., Et al., Decision scheme optimization for empty pallets dispatching based on pallet pool mode, Control and Decision, 30, 11, pp. 2009-2013, (2015)
  • [10] Ni L., He Y.D., Zhou L., Et al., Robust control optimization of triple-echelon closed-loop pallet pool system in multi-uncertain environment, Journal of Information and Computational Science, 12, 7, pp. 2635-2645, (2015)
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