Project management control utilising innovative forecasting and computerised data bases

Howes, R (1983) Project management control utilising innovative forecasting and computerised data bases. PhD thesis, Brunel University, UK.

Abstract

The prime objective of this thesis is to research and develop a new system of project budgeting, monitoring and forecasting to meet the needs of the Construction Industry. It is intended that this work will facilitate the means for more efficient control of projects from inception to final completion, utilising where possible the latest developments in computer technology. The initial stage of the work involves an investigation and appraisal of existing methods of formulating project budgets. In particular, attention is paid to previous work in the development of mathematical 'S' curve models, together with their limitations in use and application. Potential for future development is also identified. The thesis then focuses on the evolution of an improved modelling philosophy for project budgets and forecasts which overcomes previously known problems. In parallel with this work is the development of a computerised system intended to enable the testing of the model against live project data. The model finally selected is then tested against the extensive research work previously undertaken by the DHSS and the data collected from sixteen construction projects. To facilitate the development of a suitable control system to act as a vehicle for the application of the principles developed, a contextual survey is included. This survey is intended to provide an update of previous survey work undertaken by the author in 1977 and to further investigate factors orientated specifically to the objectives of the thesis. The research then concentrates on the development of an integrated set of sub-systems which contribute to the budgeting, monitoring and prediction of project expenditure. These systems are developed in accordance with the need to establish the financial status of projects both before, during and after they are completed. The overall system is based on the latest computer technology available and is designed to be flexible in its application. Tests documented in the text prove that the system operates both in principle and in practice. A further extension of the research is the use of the various project databases to provide information for a corporate control system which has been developed in principle. This thesis provides a significant step forward in computerised project budgeting and control utilising 'S' curve philosophy and provides a basis for further development. Potential exists for future development of the prediction and corporate control systems, together with software developments to improve general application over a wide range of industries and disciplines where project work is undertaken.

Item Type: Thesis (Doctoral)
Uncontrolled Keywords: automation; cost estimating; financial control; forecasting; mathematical modelling; monitoring; project budgeting; prototype development; 's' curve models
Index terms: monitoring, mathematical modelling, investigation, automation, modelling, testing, construction industry, project management, project budgeting, forecasting, database, construction project, evolution, control system, appraisal, computerized system, cost estimating, software development, project data, financial control, prototype, philosophy, survey, budgeting
Subjects: modelling and simulation, financial and cost management, analytical methods, economic analysis, prediction and forecasting, cost planning, professional practice, environmental science, data collection methods, control systems, computing systems, data management, industry analysis, philosophical studies, software systems, financial management, factor and component analysis, project management theory and practice, production management, automation and robotics, monitoring and control
Topics: Site Management, Digital Applications, Sustainability, Research Practice, Project Management, Engineering Principles, Cost Management, Business Strategy
Descriptive scope: 5 PCTEA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here