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contributor authorSarel Lavy
contributor authorIgal M. Shohet
date accessioned2017-05-08T21:13:22Z
date available2017-05-08T21:13:22Z
date copyrightSeptember 2007
date issued2007
identifier other%28asce%290887-3801%282007%2921%3A5%28363%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/43336
description abstractThe decision-making process in the field of health-care facility management is multifaceted and encompasses many different areas, including maintenance, performance, risk, operations, and development. Information and communications technologies are perceived as the interface that integrates these topics. The main objective of this research is to develop a decision-support system based on core parameters affecting the performance of health-care facilities. This paper presents the preliminary development of a quantitative integrated health-care facility management model, subdivided into the following three interfaces: input, reasoning evaluator and predictor, and output. The model proposes the following five modules: maintenance, performance and risk, energy and operations, business management, and development. It offers projection of maintenance costs, performance, and risk of built facilities in the health-care sector. The model hypotheses are that age, occupancy, and environment affect the maintenance of the facility. These factors are quantitatively developed and analyzed for performance-based maintenance planning, employing an occupancy coefficient and a projection of performance indicator. Simulations of the facility coefficient for different combinations of occupancy and environment reveal that the occupancy level is a major factor that causes an augmentation of more than 18% in the allocation of resources for maintenance compared with standard occupancy. Prediction of the performance score of a building is carried out using a nonlinear pattern for the structural components and linear patterns for the rest of the components.
publisherAmerican Society of Civil Engineers
titleComputer-Aided Healthcare Facility Management
typeJournal Paper
journal volume21
journal issue5
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/(ASCE)0887-3801(2007)21:5(363)
treeJournal of Computing in Civil Engineering:;2007:;Volume ( 021 ):;issue: 005
contenttypeFulltext


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