Marocco, M and Garofolo, I (2021) Operational text-mining methods for enhancing building maintenance management. Building Research & Information, 49(8), pp. 893-911. ISSN 0961-3218
Abstract
Facility managers can significantly benefit from operational data, such as maintenance requests, stored in computerized maintenance management systems (CMMSs). This data is a valuable means to assess building performance and gain insights for preventive maintenance actions. However, databases are not always organized in such a way that allow undertaking analytics, therefore resulting in troubles when trying to generate useful information from raw data. This paper presents two methods based on a text-mining approach to extract valuable information from textual maintenance requests. The first method aims to extract the room identifier (ID) numbers where faults mainly occur, while the second one aims to identify the most problematic building elements and systems. The text-mining-based methods were tested by using a data set which contains 12,655 maintenance requests derived from a cluster of 33 buildings managed by the local administration of the Municipality of Trieste (Italy).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | computerized maintenance management system; facilities management; maintenance requests; text mining |
| Index terms: | maintenance management system, database, mining, manager, building maintenance, building performance, preventive maintenance, Italy, facilities management, municipality |
| Subjects: | practitioner, construction type, Geography, maintenance engineering, management, quality assurance, administrative law, geotechnical engineering, data management |
| Topics: | Roles and Professions, Construction Technology, Business Strategy, Engineering Principles, Geographical Context, Digital Applications, Legal Issues, Quality 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