Storage Scheduling Decision Models for Revenue Management of Self-Storage Warehouses

This paper describes how self-storage warehousing is a booming industry that has received little academic attention to date. The paper considers a self-storage warehouse, facing a set of reservations for homogeneous or heterogeneous storage units over a certain time horizon with revenue rewards. The warehouse operation manager has to decide which storage requests to accept to maximize revenue. The paper models warehouse operation as scheduling (n) independent multiprocessor tasks with given start and end times, where the objective is to maximize total revenue. The paper identifies 5 cases of the problem and show that two polynomial algorithms can solve the problem optimally for all cases. Finally, the paper considers the application to a leading self-storage warehouse in the urban area of Chicago and the paper shows that the algorithms can improve average revenues.

Language

  • English

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 299-315
  • Monograph Title: TRAIL in Perspective. Proceedings 2008, 10th International TRAIL Congress

Subject/Index Terms

Filing Info

  • Accession Number: 01140627
  • Record Type: Publication
  • ISBN: 9789055841127
  • Files: TRIS
  • Created Date: Sep 21 2009 10:17PM