Use of Multiple Time Series Analysis to Forecast Maintenance Manhour Requirement for the Chemical Process Industry.
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.