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Minimizing army housing deficits with a DSS‐delivered heuristic programming model
Author(s) -
Forgionne G.A.
Publication year - 1999
Publication title -
international transactions in operational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.032
H-Index - 52
eISSN - 1475-3995
pISSN - 0969-6016
DOI - 10.1111/j.1475-3995.1999.tb00152.x
Subject(s) - compromise , preparedness , resource allocation , heuristic , operations research , operations management , business , natural resource , process (computing) , computer science , state (computer science) , economics , engineering , management , political science , computer network , artificial intelligence , law , algorithm , operating system
The ineffcient use of existing onpost, or available offpost, assets can result in insuffcient or unnecessary Army housing construction requests. Insuffcient requests can leave Army personnel inadequately housed, compromise morale and jeopardize military preparedness, while unnecessary requests can waste scarce natural resources and, in the process, alienate local residents, environmentalists and other interest groups. This paper: (a) presents a decision‐support‐system‐delivered heuristic programming model that effciently utilizes scarce housing resources; and (b) demonstrates the significant economic and management benefits that can be achieved through the application of the model. The same concepts can be applied to the housing allocation problem faced by the other armed services, federal, state, local housing authorities and to related resource allocation problems in public and private enterprises.