A decision analysis model for maintenance policy selection using a CMMS

TLDR

Computerised maintenance management systems are essential for industry yet suffer from significant deficiencies, and the proposed hybrid system—analogous to the Holonic concept—highlights key feature distinctions. The study investigates the characteristics of CMMSs to underscore their necessity in industry and identify existing deficiencies. The authors develop a hybrid intelligent model whose rules operate automatically to provide decision‑analysis capabilities. The proposed model supplies the missing decision‑analysis capability in CMMSs, offering decision support, revealing information gaps for maintenance, and explaining current off‑the‑shelf deficiencies.

Abstract

In this paper, an investigation of the characteristics of computerised maintenance management systems (CMMSs) is carried out to highlight the need for them in industry and identify their current deficiencies. A proposed model provides a decision analysis capability that is often missing in existing CMMSs. The proposed model employs a hybrid of intelligent approaches. This hybrid system is analogous to the Holonic concept. The distinction between these two features is important. The rules function automatically. Practical implications. The main practical implication of this paper is the proposal of an intelligent model that can be linked to CMMSs to add value to data collected in the form of provision of decision support capabilities. A further implication is to identify the need for information to aid maintenance, followed by the provision of reasons for current deficiencies in existing off‐the‐shelf CMMSs.