Oduyemi, O I (2015) Life cycle costing methodology for sustainable commerical office buildings. PhD thesis, University of Derby, UK.
Abstract
The need for a more authoritative approach to investment decision-making and cost control has been a requirement of office spending for many years now. The commercial offices find itself in an increasingly demanding position to allocate its budgets as wisely and prudently as possible. The significant percentage of total spending on buildings demands a more accurate and adaptable method of achieving quality of service within the constraints on the budgets. By adoption of life cycle costing techniques with risk management, practitioners have the ability to make accurate forecasts of likely future running costs. This thesis presents a novel framework (Artificial Neural Networks and probabilistic simulations) for modelling of operating and maintenance historical costs as well as economic performance measures of LCC. The methodology consisted of eight steps and presented a novel approach to modelling the LCC of operating and maintenance costs of two sustainable commercial office buildings. Finally, a set of performance measurement indicators were utilised to draw inference from these results. Therefore, the contribution that this research aimed to achieve was to develop a dynamic LCC framework for sustainable commercial . . . (continues)
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | measurement; artificial neural network; cost control; investment; life cycle; risk management; running costs; life cycle cost; neural network; simulation |
| Index terms: | life cycle, investment decision-making, office building, performance measurement, modelling, costing, quality of service, maintenance cost, running cost, risk management, performance measure, neural network, commercial office, life cycle cost, artificial neural network, methodology, cost control, practitioner |
| Subjects: | financial management, performance measurement, public and environmental health, modelling and simulation, artificial intelligence, financial and cost management, risk assessment, value management, cognitive psychology, research methods, accounting and finance, analytical methods, construction type, practitioner |
| Topics: | Roles and Professions, Construction Technology, Business Strategy, Cost Management, Research Practice, Digital Applications, Risk Management, Health and Safety, Project Management, Engineering Principles, Quality Management |
| Descriptive scope: | 3 PCT |
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