Call for Papers

Computers & Operations Research

Special Issue on “Recent Advances in Hub Location

 

Guest Editors: Sibel A. Alumur, James F. Campbell

 

Hub location problems arise in various applications in transportation and telecommunication network design. Application areas include network design for express shipment delivery, less-than-truckload (LTL) and truckload motor carriers, airline passenger and freight transportation, railway networks, liner shipping, urban public transportation networks, and computer and telecommunications networks.

 

For this special issue of Computers & Operations Research, we will specifically solicit revised and extended versions of hub location papers presented at the 14th International Symposium of the Locational Decisions (ISOLDE) conference in Toronto and Huntsville, Canada in July 2017. In addition, we eagerly welcome the submission of high quality, visionary papers that are not associated with this conference.

 

We hope the special issue will document the state-of-the-art in hub location research and provide a framework for future research that moves the field forward by better solving larger problems with more realistic assumptions, and by leveraging the best research in related disciplines. Researchers from all disciplines are invited to consider this special issue as an outlet to publish their high quality work on the topic.

 

Submission Guidelines:

All manuscripts should be submitted electronically via the Elsevier Editorial System (EES) http://ees.elsevier.com/cor. Corresponding author must select “SI: Hub Location” as the Article Type to make sure that the paper will be considered for the special issue.

 

Important Dates:

The deadline for submission to the special issue is November 1, 2017. The plan is to publish the special issue in early 2019.

 

Guest Editors:


Sibel A. Alumur

Department of Management Sciences

Faculty of Engineering

University of Waterloo

Waterloo, Ontario, N2L 3G1, CANADA

e-mail: sibel.alumur@uwaterloo.ca

 

James F. Campbell

Supply Chain & Analytics Department

College of Business Administration

University of Missouri-St. Louis

St. Louis, MO 63121, USA

e-mail: campbell@umsl.edu