Graduate Thesis Or Dissertation
 

A discrete multi-facility location analysis of a public sector office siting problem

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  • A discrete multi-facility plant location algorithm developed by Basheer Khumawala is modified and applied to the location analysis of offices of the State of Oregon Health Facilities Licensing and Certification Section (HFLC). Choice of the algorithm is based upon a literature survey of available computational procedures which compares their relative efficiencies and appropriateness to the problem at hand. The problem studied includes 211 health care facilities in seventyseven cities throughout the state of Oregon. These facilities are regulated through inspections by the HFLC staff which is presently located in a single Portland office. The hypothesis is tested that a feasible HFLC multi-office plan can be formulated which reduces the agency's costs of operation. Khumawala's algorithm is used to compute the total costs of the present single-office, sixteen-inspector operation and to optimize the cost of a multi-office plan. Costs under centralized and decentralized office plans are evaluated; the results indicate that a fifteen per cent reduction in the annual cost of agency operations could be realized under a multi-office plan. A sensitivity analysis is performed using a multi-factor design to study the effect of changes in parameters of cost, demand, and efficiency of personnel on the total cost and facility location results. The multiple office model is shown to remain optimal under a range of future conditons foreseen for the next four years.
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