A Novel Dynamic Resource Allocation Model for Demand-Responsive City Logistics Distribution Operations

This paper presents a dynamic customer group-based logistics resource allocation methodology for the use of demand-responsive city logistics distribution operations. The proposed methodology is developed based on the following five developmental procedures, including: (1) specification of demand attributes, (2) customer grouping, (3) customer group ranking, (4) container assignment, and (5) vehicle assignment. The numerical results show that the model permits managing both the time-varying customer order data and logistics resources dynamically with the goal of optimal logistics resource allocation. Particularly, both the aggregate operational costs and average lead time are reduced by 27.4% and 8.7%, respectively, in a case study.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier
• Authors:
  • Sheu, Jiuh-Biing
• Publication Date: 2006-11

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 445-472
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 42
  • Issue Number: 6
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Case studies; Cities; Container utilization; Demand; Dynamic programming; Lead time; Logistics; Optimization; Physical distribution; Resource allocation; Traffic assignment; Vehicle fleets
• Subject Areas: Freight Transportation; Highways; Planning and Forecasting; Society; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01037259
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 28 2006 11:31AM