Models and Algorithms for Optimal Warehouse Space Utilization in Railway Freight Station

The storage establishment of the railway freight station is an important node in supply chain. Optimizing the warehouse space utilization of storage can reduce the logistics cost in the whole supply chain. Generally, the decision maker determines the maximum storage space of the railway freight station through the prediction of freight volume or other measures, and it is a very high cost for the railway freight station to repair a new storage establishment to increase the storage space after its operation. To meet the inventory needs increased day by day in a supply chain, the authors develop a scenario to maximize the warehouse space utilization of existing storage establishment in the railway freight station. This paper presents an approach for solving this problem, optimizing the warehouse space utilization of existing storage establishment by optimizing the replenishment cycles of the supply chain, to maximize the warehouse utilization space. A model for warehouse space utilization optimization is established with reference to maximum warehouse utilization space. Then, the authors employ this model in a genetic algorithm (GA) to search for the optimal replenishment schedule. Using simple instance, they show that the proposed GA performs effectively and efficiently.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 476-481
  • Monograph Title: International Conference on Transportation Engineering 2009

Subject/Index Terms

Filing Info

  • Accession Number: 01535898
  • Record Type: Publication
  • ISBN: 9780784410394
  • Files: TRIS, ASCE
  • Created Date: Nov 12 2013 1:47PM