Motawa, I and Almarshad, A (2015) Case-based reasoning and BIM systems for asset management. Built Environment Project and Asset Management, 5(3), pp. 233-247. ISSN 2044-124X
Abstract
Purpose - The next generation of Building Information Modelling (BIM) seeks to establish the concept of Building Knowledge Modelling (BKM). The current BIM applications in construction, including those for asset management, have been mainly used to ensure consistent information exchange among the stakeholders. However, BKM needs to utilise knowledge management (KM) techniques into building models to advance the use of these systems. The purpose of this paper is to develop an integrated system to capture, retrieve, and manage information/knowledge for one of the key operations of asset management: building maintenance (BM). Design/methodology/approach - The proposed system consists of two modules; BIM module to capture relevant information and case-based reasoning (CBR) module to capture the operational knowledge of maintenance activities. The structure of the CBR module was based on analysis of a number of interviews and case studies conducted with professionals working in public BM departments. This paper discusses the development of the CBR module and its integration with the BIM module. The case retaining function of the developed system identifies the information/knowledge relevant to maintenance cases and pursues the related affected building elements by these cases. Findings - The paper concludes that CBR as a tool for KM can improve the performance of BIM models. Originality/value - As the research in BKM is still relatively immature, this research takes an advanced step by incorporating the intelligent functions of knowledge systems into BIM-based systems which helps the transformation from the conventional BIM to BKM.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | BIM; building maintenance; asset management; building knowledge modelling; case-based reasoning; knowledge systems |
| Index terms: | asset management, transformation, information exchange, building information modelling, interview, case study, case-based reasoning, building maintenance, modelling, integrated system, knowledge management, integration, methodology, module |
| Subjects: | analytical methods, data science, business, construction type, data collection methods, design methods, asset management, cognitive psychology, organizational analysis, information systems, research methods, architectural elements, professional development |
| Topics: | Organizational Design, Digital Applications, Design Practice, Construction Technology, Business Strategy, Information Management, Engineering Principles, Research Practice |
| Descriptive scope: | 4 PCTE |
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