• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 55 Issue 3
Jun.  2020
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Article Contents
REN Jianwei, MENG Xiangdong, CHEN Chunhua, ZHANG Jin, ZHANG Xueyan. Methodologies of Pallet Allocation Over Pallet Pool in Intermodal Transportation Network[J]. Journal of Southwest Jiaotong University, 2020, 55(3): 612-619. doi: 10.3969/j.issn.0258-2724.20190340
Citation: REN Jianwei, MENG Xiangdong, CHEN Chunhua, ZHANG Jin, ZHANG Xueyan. Methodologies of Pallet Allocation Over Pallet Pool in Intermodal Transportation Network[J]. Journal of Southwest Jiaotong University, 2020, 55(3): 612-619. doi: 10.3969/j.issn.0258-2724.20190340

Methodologies of Pallet Allocation Over Pallet Pool in Intermodal Transportation Network

doi: 10.3969/j.issn.0258-2724.20190340
  • Received Date: 15 Apr 2019
  • Rev Recd Date: 30 Aug 2019
  • Available Online: 11 Dec 2019
  • Publish Date: 01 Jun 2020
  • In order to solve the problems in pallet allocation of intermodal transportation network (ITN) over a pallet pool, by the use of non-linear programming, mixed-integer programming, and modified particle swarm optimization (PSO), the pallet allocation system were optimized in the cases of three available transport modes, i.e., shipping, highway, and railway. Firstly, the pallet allocation process was analyzed. Then, a mixed-integer non-linear optimization model for pallet allocation was built, in which the transit time, transit cost, handling batch, ratio of damaged pallets and time constraints were considered. Furthermore, the particle swarm optimization with inertia weigh (IPSO) and the particle swarm optimization with constriction factor (CPSO) were designed. Finally, the model and algorithm were verified by tests. The results show that compared with pallet transport through highway, the allocation cost could be reduced by 69.1% with pallet allocation in ITN. The IPSO outperforms the CPSO with the total allocation cost reduced by 1.82%. The larger the lead time of customer demand is, the more allocation cost can be saved by intermodal transportation. The transit time and cost of intermodal transportation affect pallet allocation decisions over a pallet pool.

     

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