Intelligent construction plant information management

Oloke, D A; Edwards, D J and Li, B (2001) Intelligent construction plant information management. In: Akintoye, A (ed.) Proceedings of 17th Annual ARCOM Conference, 5-7 September 2001, Salford, UK.

Abstract

Construction plant information management has progressed rapidly since the inception of paper based and electronic documentation formats. Collated plant management data (e.g. inventories, maintenance costs etc.) assists plant managers monitor plant performance and overall project economics. Traditionally, data are stored on paper based and/or electronic databases or local networks/intranets and maintained centrally within the organization. Pilot studies have revealed that this approach is often preferred even though hardware requirements are massive and accessibility to the system is usually also limited. The Internet, on the other hand, is a relatively new worldwide phenomenon that is rapidly enhancing information management. Information is near instantaneous whilst its open architecture facilitates appropriate user access throughout the company hierarchal structure. Based on this potential, the development of an intelligent web-based construction plant information management system is proposed. This system incorporates models and algorithms that automate the analyses of plant history data. In this paper, particular emphasis is paid to the analysis of plant maintenance cost prediction. The generic approach adopted for this embryonic work is presented to act as a catalyst for wider debate.

Item Type: Conference Paper (Paper)
Uncontrolled Keywords: construction plant; information management; internet; intelligent models
Index terms: construction plant, hardware, history, database, maintenance cost, management system, inventory, manager, documentation, internet, accessibility
Subjects: architectural and construction history, professional development, inventory management, management, computer hardware, inclusive design, computing systems, financial management, practitioner, data management, construction equipment
Topics: Information Management, Supply Chain Management, Research Practice, Design Practice, Roles and Professions, Digital Applications, Business Strategy, Plant and Equipment, Organizational Design
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