Whole life cost methods for computer systems
thesisposted on 15.11.2010, 11:29 by Malcolm Bradley
This thesis provides an analysis of cost of ownership issues and techniques, and provides the supporting data to enable future system designers to make rational decisions on design options. It represents the experience gained whilst collecting cost and cost relationship data in the Rolls-Royce group over a period or more than four years. This, in a time of continuous change, in both the company and the wider IT industry. The thesis is arranged in chapters, each representing a milestone conference or journal paper. The exception to this is chapter Il- the conclusion and summary of the work in the thesis. The Chapter topics cover firstly the background of whole life cost and the aims and objectives of the research. A relationship between whole life cost and quality is considered and why whole life cost is a useful measure of quality. This is examined in practical terms of tools and methods. Case studies are used to illustrate the measurement and use of whole life cost. The impact of obsolescence risk is next considered, identifying the causes and implications of obsolescence. Case studies are used to show how the IT help desk can be used to identify and reduce whole life costs both in a deterministic and a probabilistic approach. This is followed by an examination of the costs of database systems at Rolls-Royce and Associates. Case studies of database systems are also used to show the need to collect in service data, and genetic algorithms are shown to be a useful tool for analysing the data. Whole life costing techniques applied to engineering systems at Rolls-Royce is examined. It is shown that a reliability centred maintenance database is a cost effective tool in collecting data. Network monitoring software is shown to be an effective tool for reducing the cost of ownership of IT systems. The overall conclusion is that whole life cost techniques have been shown to work for computer based systems, further work in this area is still needed to enable costs to be fully understood and optimised.
- Computer Science