Economics at your fingertips  

The Maximum Capture Problem with Uncertainty

Daniel Serra (), S Ratick and C ReVelle
Additional contact information
S Ratick: Department of Geography, The George Perkins Marsh Institute, 950 Main Street, Worcester, MA01610, USA
C ReVelle: Johns Hopkins University, Baltimore, MD 21218, USA

Environment and Planning B, 1996, vol. 23, issue 1, 49-59

Abstract: The strategic location of servers by a firm in a competitive environment is basic in the determination or division of market shares. Let us suppose that a firm wants to locate p servers so as to maximize market capture in a region where competitors are already located but where there is uncertainty—there are several possible future scenarios with respect to demand and/or the location of competitors. The firm will want a strategy of positioning that will do as ‘well as possible’ over the future scenarios. In this paper we will present a discrete location model formulation to address this maximum capture problem with uncertainty.

Date: 1996
References: Add references at CitEc
Citations: View citations in EconPapers (17) Track citations by RSS feed

Downloads: (external link) (text/html)

Related works:
Journal Article: The maximum capture problem with uncertainty (1996) Downloads
Working Paper: The maximum capture problem with uncertainty (1994) Downloads
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:

Access Statistics for this article

More articles in Environment and Planning B
Bibliographic data for series maintained by SAGE Publications ().

Page updated 2019-05-18
Handle: RePEc:sae:envirb:v:23:y:1996:i:1:p:49-59