Abubakar, A (1992) A quantitative approach to cost monitoring and control of construction projects. PhD thesis, Loughborough University, UK.
Abstract
Existing literature and research findings indicated that cost monitoring and control of construction projects by contractors at the level of site operations has remained ineffective largely due to inability of existing control systems to accurately predict when, to what extent and why an on-going operation or project is to overrun its planned duration and cost. In most cases the information that would enable such advance detection becomes available to decision makers after the affected operation or project is completed. It is then hoped that the information could be used to 'control' future similar situations which in the case of construction projects hardly arise, at least never under identical circumstances. The existing cost control systems also fail to enable rational corrective decisions to be formulated. This resulted in total reliance on previous experience and personal intuition to make a guess of corrective measures. Most research efforts have focused on various aspects of project modelling and cost control using traditional accounting approaches that consistently fail to meet the requirements and schedule of timely cost control. This research identified, from empirical evidence, construction and management science literature, the essential criteria and features of an effective cost monitoring and control approach for construction projects. The evidence from these three sources led to the formulation of an alternative approach based on quantitative analysis of cost data from construction projects. The cost monitoring and control process carried out on sites was formulated as a problem whose solution process is implemented using multiple regression and goal programming models and techniques that enable timely evaluation and prediction of costs and a rational computation of corrective decisions. This allowed cost deviations to be detected and optimum corrective measures calculated while the affected operation or project was still in progress.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | accounting; construction project; control system; cost control; duration; monitoring; site operations; contractor |
| Index terms: | construction project, computation, cost data, cost deviation, evidence, modelling, accounting, control system, overrun, intuition, management science, quantitative analysis, cost control, monitoring, goal programming, multiple-regression, duration, site operation |
| Subjects: | analytical methods, production management, financial and cost management, operations management, economic analysis, algorithms, evaluation and assessment methods, accounting and finance, statistical analysis, cognitive psychology, computational methods, data analysis and analytics, monitoring and control, control systems, project controls, management |
| Topics: | Time Control, Business Strategy, Cost Management, Engineering Principles, Digital Applications, Site Management, Project Management, Research Practice |
| Descriptive scope: | 4 PCTA |
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