Preventive maintenance (PM) planning: a review

Abstract

Purpose The purpose of this paper is to provide comprehensive information on preventive maintenance (PM) planning and methods used in the industry in order to achieve an effective maintenance system. Design/methodology/approach The literature review is organized in a way that provides the general overview of the researches done in the PM. This paper discusses the literatures that had been reviewed on four main topics, which are the holistic view of maintenance policies, PM planning, PM planning concept and PM planning-based in developing optimal planning in executing PM actions. Findings PM policy is one of the original proactive techniques that has been used since the start of researches on maintenance system. Review of the methods presented in this paper shows that most researches analyse effectiveness using artificial intelligence, simulation, mathematical formulation, matrix formation, critical analysis and multi-criteria method. While in practice, PM activities were either planned based on cost, time or failure. Research trends on planning and methods for PM show that the variation of approaches used over the year from early 1990s until today. Practical implications Research about PM is known to be extensively conducted and majority of companies applied the policy in their production line. However, most analysis and method suggested in published literatures were done based on mathematical computation rather than focussing on solution to real problems in the industry. This normally would lead to the problems in understanding by the practitioner. Therefore, this paper presented researches on PM planning and suggested on the methods that are practical, simple and effective for application in the real industry. Originality/value The originality of this paper comes from its detail analysis of PM planning in term of its research focus and also direction for application. Extensive reviews on the methods adopted in relation to PM planning based on the planning-based such as cost-based, time-based and failure-based were also provided.

The application of a hybrid simulation modelling framework as a decision-making tool for TPM improvement

“…A number of approaches, tools and techniques have been advanced to investigate different concepts relating to TPM. Basri et al (2017) while reviewing the literature on Preventive Maintenance Planning, highlighted some of these methods such as Artificial Intelligence, Mathematical Formulation, Multi-criteria Decision Analysis, Critical Analysis, and Simulation. Of all these methods, simulation modelling such as System Dynamics (SD), Discrete Event Simulation (DES) and Agent Based Modelling can be used to better understand the complex interactions that exists between different concepts relating to the same system.…”

Adaptive decision support for suggesting a machine tool maintenance strategy

“…The system presented in this paper aims to assist the manufacturer in translating to a preventative only maintenance strategy, which is subsequently updated through active monitoring of machine accuracy. The novelty of this approach is further confirmed by reviewing the research surveys where a comprehensive survey does not identify a system able to solve the challenges presented in this paper Ansari et al (2016); Basri et al (2017).…”

Asset maintenance optimisation approaches in the chemical and process industries – A review

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