Assigning delivery routes to drivers under variable customer demands

Michael A. Haughton

Transportation Research Part E: Logistics and Transportation Review, 2007, vol. 43, issue 2, 157-172

Abstract: This study covers situations in which random day-to-day customer demands complicate decisions made by managers of vehicle routing/dispatch operations. The paper proposes and analyzes a rule to guide the decision of interest: daily assignment of delivery routes to drivers. The rule targets customer service goals by trying to maximize the likelihood that each customer will continue to be served by the driver who is most familiar with that customer. Statistical analysis of the rule yields several managerial implications about pursuing maximum customer-driver familiarity. Among these is the potentially problematic wide disparity in a customer's level of familiarity with different drivers.

Keywords: Vehicle; routing; Simulation; experiments; Workforce; assignment; Regression; modeling (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1366554505000979
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:transe:v:43:y:2007:i:2:p:157-172

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/bibliographic
http://www.elsevier. ... 600244/bibliographic

Access Statistics for this article

Transportation Research Part E: Logistics and Transportation Review is currently edited by W. Talley

More articles in Transportation Research Part E: Logistics and Transportation Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().