A knowledge-based systems approach to materials management for large construction projects

Al-Otaibi, N T N H (1995) A knowledge-based systems approach to materials management for large construction projects. PhD thesis, University of Toronto, Canada.

Abstract

Project materials management is an important and complex aspect of project planning and control that has not generally received the attention it deserves in theory or in practice. Previous studies have identified main symptoms and causes of inadequate construction materials management and illustrated the attendant need for significant improvements. Analysis of the reasons underlying documented overall symptoms and high-level causes reveals that the technical causes centre around shortcomings in the knowledge of the domain. Available knowledge consists largely of fragmented experiences lacking explicitness and detail. This research explores the knowledge-based systems approach with a view to improving management of materials. It seeks to assess, summarize, and organize accepted practices in managing materials of large projects in light of this new approach. Public and private sources of knowledge are analyzed and compared to identify not only essential ingredients of project materials management, but also the most useful generalizations about the process, and to develop a model of the process for uniting its elements. The specific purpose of the model has to do with organizing domain knowledge for representation and application by the computer. These steps are carried out at two main levels of detail. First, they are performed for the overall process at a somewhat conceptual level. At the detailed level, the most important function of project materials management, i.e. , materials requirements planning and control, is isolated in the developed conceptual knowledge-based model of the process. The steps are then repeated for building a demonstration prototype knowledge-based system for this function. The research indicates that knowledge-based systems techniques are appropriate and sufficiently powerful to make needed and valuable contribution towards the development of an integrated decision making system for managing materials of large construction projects.

Item Type: Thesis (Doctoral)
Thesis advisor: Selby, K A
Uncontrolled Keywords: construction project; decision making; materials management; project planning; knowledge-based system
Index terms: project planning, prototype, large construction project, construction project, knowledge-based system, construction material, materials management, decision-making
Subjects: decision analysis, organizational theory, artificial intelligence, operations management, production management, control systems, modelling and simulation, building materials
Topics: Site Management, Project Management, Engineering Principles, Digital Applications, Risk Management
Descriptive scope: 2 PC

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