A knowledge based system for construction health and safety competence assessment

Yu, H (2009) A knowledge based system for construction health and safety competence assessment. PhD thesis, University of Wolverhampton, UK.

Abstract

Organisational and individual Health and Safety (H&S) competence is an essential element to the successful completion of a construction project in a safe way and without hazards to the health of all workforce. Under the Construction (Design and Management) (CDM) Regulations 2007, the client should take reasonable steps to ensure that the appointed duty-holders and engaged people are H&S competent to design, build or co-ordinate the project. Although the CDM Regulations 2007 and its Approved Code of Practice (ACoP) have established Core Criteria to guide the client to assess duty-holders' H&S competence in the outset of a project, it is still difficult for most inexperienced clients to discharge the duty of making the key decisions in H&S competence assessment. In order to help the client implement H&S competence assessment, it is important to develop a tool that can effectively and efficiently support the client to make reasonable decisions in the selection of H&S competent duty-holders. According to the findings of the case study of existing formal H&S competence assessment schemes undertaken as part of this work, H&S competence assessment was characterised as a subjective, qualitative and non-linear regulation-compliance checking process. In addition, the case study helped identify the latent shortcomings in the Core Critiera and the operational drawbacks in current practice of implementing H&S competence assessment. Based on a review of Information Technology (IT) and Artificial Intelligence (AI) applications in construction, Knowledge-Based System (KBS) is identified as being a suitable tool to support decision-making in H&S competence assessment, mainly due to its appropriateness to solve regulation-compliance checking problems and support subjective and qualitative decision-making process. Following a decision-making framework for H&S competence assessment, a KBS decision-support model was developed, applying three mechanisms to support the reasonable decision-making for H&S competence assessment. In order to develop an appropriate and practical KBS for H&S competence assessment, a textual knowledge base was developed, specifying the minimum satisfaction standards and a rating indicator system for Core Criteria. As a result, an online KBS was developed using Java Server Pages (JSP) technology and MySQL. The online KBS applied the textual knowledge base to support the screen, rating, ranking and reporting decision-supporting mechanisms. Simultaneously, the case inquiry and expert inquiry facilities were also included in the KBS for effective decision-making. Finally, construction experts and practitioners in H&S management evaluated the validity and usability of the KBS through a questionnaire survey. The prototype KBS was borne out to be an effective and efficient decision-support tool for H&S competence assessment and have the potential to be applied in practice.

Item Type: Thesis (Doctoral)
Uncontrolled Keywords: decision-making; health and safety; knowledge management
Index terms: competence, construction project, decision-making, questionnaire, regulation, practitioner, duty, knowledge management, information technology, knowledge base, compliance, health and safety, prototype, usability, survey, artificial intelligence, satisfaction, case study, decision-making process, knowledge-based system, validity
Subjects: user-centered design, contractual role, data collection methods, evaluation and assessment methods, computing systems, practitioner, modelling and simulation, project delivery, artificial intelligence, personnel development, professional development, health safety and environment, production management, decision analysis, political science, information systems
Topics: Contract Administration, Human Resources, Digital Applications, Design Practice, Governance, Roles and Professions, Information Management, Research Practice, Risk Management, Engineering Principles, Project Management, Health and Safety
Descriptive scope: 4 PCEA

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