This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Scheduling deliveries under uncertainty

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Gabor, A.F.
Dekker, R.
Dijk, T. van
Scheepstal, P. van (Erasmus Research Institute of Management (ERIM), RSM Erasmus University)

Additional information is available for the following registered author(s):

Abstract

Quite often transportation companies face two types of jobs, ones which they can plan themselves and ones which have to be done on call. In this paper we study the scheduling of these jobs, while we assume that job durations are known beforehand as well as windows in which the jobs need to be done. We develop several heuristics to solve the problem at hand. The most successful are based on defining an appropriate buffer. The methods are assessed in extensive experiments on two aspects, viz. efficiency, in the sense that they carry out many jobs and certainty, in the sense that they provide information beforehand about which jobs they will execute.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://hdl.handle.net/1765/16236
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. in its series Research Paper with number ERS-2009-040-LIS Revision_Date: 2009-07-29.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 25 Jun 2009
Date of revision:
Handle: RePEc:dgr:eureri:1765016236

Contact details of provider:
Web page: http://www.erim.eur.nl/

For technical questions regarding this item, or to correct its listing, contact: (ERIM Series Handler at the ERIM Office).

Related research
Keywords: stochastic scheduling; distribution problems;

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? All top Economics journals are listed on RePEc.

This page was last updated on 2009-11-18.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.