Yu, H; Heesom, D; Oloke, D; Buckley, K and Proverbs, D (2007) A knowledge-based decision-support system for health and safety competence assessment. In: Boyd, D (ed.) Proceedings of 23rd Annual ARCOM Conference, 3-5 September 2007, Belfast, UK.
Abstract
It is believed that standard, generic pre-qualification competence questionnaires can often be irrelevant, create a great deal of paperwork, and be of little benefit to health and safety. Under the Construction (Design and Management) (CDM) Regulations 2007, clients have to take reasonable steps to ensure that all duty-holders to be appointed or engaged are health and safety competent. Since many clients have little knowledge of construction and health and safety, it is difficult for them to make reasonable decision on the selection of health and safety competent duty-holders. In order to assist such clients fulfil their CDM duties, a knowledge-based decision-support model was developed on the basis of the knowledge representation and reasoning features of making health and safety competence assessment. The knowledge-based decision model utilised rule-based reasoning, case-based reasoning and hypertext technology to support three decision-making mechanisms. In order to realise on-line automation, HTML, JSP and MySQL are adopted to develop a dynamic internet-based KBS on a commercial JSP web server. A conceptual architecture of the KBS demonstrated the structure of the system for the future development.
| Item Type: | Conference Paper (Paper) |
|---|---|
| Uncontrolled Keywords: | cdm regulations; competence assessment; knowledge-based system; health and safety management; web application |
| Index terms: | questionnaire, regulation, competence, decision-making, pre-qualification, duty, health and safety management, automation, internet, case-based reasoning, health and safety, reasoning, knowledge representation and reasoning, knowledge-based system |
| Subjects: | cognitive psychology, decision analysis, political science, tendering, personnel development, automation and robotics, health safety and environment, artificial intelligence, data collection methods, contractual role, computing systems |
| Topics: | Contract Administration, Digital Applications, Human Resources, Risk Management, Procurement, Governance, Health and Safety, Research Practice |
| Descriptive scope: | 4 PCTA |
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