Territory Planning and Vehicle Dispatching with Driver Learning

The authors discuss local package delivery route construction. Their primary objective is to provide realistic vehicle dispatching optimization models where there is dispatch consistency due to driver service territory familiarity while day to day customer location and demand varies. Increased driver familiarity with service territories and routes tends to make territories and routes fixed. Varying service demand makes driver and vehicle reassignment to service territory each day advantageous. The authors developed "cell", "core areas", and "flex zone" concepts to balance the trade-offs between the objectives, and explicitly evaluated driver familiarity effect through forgetting and learning curve use by creating a two-stage vehicle routing model which uses operational cell routing and strategic core area design.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1767714
• Authors:
  • Zhong, Hongsheng
  • Hall, Randolph W
  • Dessouky, Maged
• Publication Date: 2007-2

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 74-89
• Serial:
  • Transportation Science
  • Volume: 41
  • Issue Number: 1
  • Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
  • ISSN: 0041-1655
  • Serial URL: http://transci.journal.informs.org/

Subject/Index Terms

• TRT Terms: Businesses; Delivery service; Dispatching; Drivers; Learning; Mathematical models; Package service; Routes and routing
• Uncontrolled Terms: Territories
• Subject Areas: Highways; Planning and Forecasting; Society; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01049860
• Record Type: Publication
• Files: TRIS
• Created Date: May 1 2007 1:17PM