Date of Award
Doctor of Philosophy (PhD)
It is hypothesized that chemical processing plant maintenance manhour requirement (the number of hours required to maintain a production facility at an optimal level) can be forecast. The hypothesis is supported by (1) a study of the independent variables which may impact the dependent variable, maintenance manhour requirement and (2) a comparative analysis of technological forecasting methods that suggested which methods might be most appropriate. Both econometric and statistical forecasting methods were considered. The philosophy inherent in each approach was recognized. A procedure for choosing a forecasting method to suit a given situation is outlined. Multiple time series analysis, supported by Statistical Computing Associates (SCA) software, is used to develop a forecast model as an example.
Bostock, Helen, "Use of Multiple Time Series Analysis to Forecast Maintenance Manhour Requirement for the Chemical Process Industry." (1987). LSU Historical Dissertations and Theses. 4341.