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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Statistical Activity Cost Regression Analysis of a Scheduling Problem
verfasst von : Andrew Colin, Peter Lambrineas, Terence Weir, Roger J. Willett
Erschienen in: Engineering Asset Management and Infrastructure Sustainability
Verlag: Springer London
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Abstract
Regression analysis of accounting costs on physical activity levels for a number of vessels is used to estimate optimum cost and capability of fleet schedules. Quarterly accounting and activity data is used, the regression analysis showing the existence of lags of 3–9 months between the occurrence of an engineering activity and the recording of the associated costs. When the lags are taken into account simple multivariable linear regression models of the fixed-variable cost type provide indicators of future costs based upon planned engineering activity levels. This information is employed in Monte Carlo experiments to determine minimum cost, maximum engineering capability, fleet maintenance and deployment schedules.