Owner's cost control system selection methodology

Nell, Peter Godfrey (1980) Owner's cost control system selection methodology. Masters thesis, Memorial University of Newfoundland.

[English] PDF - Accepted Version Available under License - The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission. Download (26MB)

Abstract

Owner's cost control of large scale construction projects within a Project Management environment requires the processing of large amounts of information relating to quantities and unit rates for work expended and work yet to be performed. Cost control is based upon monitoring reports summarizing and presenting the available data and the adoption of appropriate management responses. Due to the amount of information to be considered, computer processing is almost universally adopted, necessitating management decisions upon the most appropriate of a number of competing computerized cost control programs to be adopted by a particular owner's organization. Such decisions require a basis for comparison. Unbiased comparisons are the ideal to be attained, and to this end, this thesis develops a methodology utilizing a classification system devised to remove some of the elements of bias currently surrounding decisions regarding suitability of any particular proprietary computer program for any owner. -- The methodology consists of an owner initially determining his information reporting requirements in terms of the classification of data to be presented in each report. For any particular program, the information presented by every report is classified in a similar manner. By comparison of the owner's requirements and the particular program under review, determination may be made concerning the suitability of that particular program for the owner. A number of such available programs may be evaluated against the owner's requirements utilizing the methodology and, by simple discrimination, achievement of unbiased selection of the most suitable is rendered possible. -- The methodology has been computerized and an example of its use is included. Finally, suggestions for further work in this area are made.

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