Title :
A computational framework for location analysis
Author :
Keane, John A. ; Ward, Timothy A.
Author_Institution :
Dept. of Comput., Univ. of Manchester Inst. of Sci. & Technol., UK
fDate :
9/1/2002 12:00:00 AM
Abstract :
Location analysis decisions are interrelated and should be made within a single decision-making framework. A framework within which a number of location strategies can be placed is presented. Location-allocation models are improved in two ways: 1) the allocation rule is developed to more accurately reflect customer choice processes; and 2) the objective function is developed to incorporate future changes. Computational support for this framework is described.
Keywords :
decision theory; facility location; resource allocation; computational framework; decision-making framework; location analysis; location-allocation models; objective function; Decision making; Demography; Geographic Information Systems; Guidelines; Management information systems; Marketing and sales; Performance analysis; Performance evaluation; Planning; Profitability;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/TSMCA.2002.804819
