FLM to select suitable maintenance strategy in process industries using MISO model

TLDR

The study aims to assist maintenance managers in selecting an appropriate maintenance strategy for system components. The authors employ a fuzzy linguistic model that uses historical, present, and competence data as fuzzy inputs, processes them through a Mamdani inference system with rule‑based matching, and defuzzifies the output to evaluate maintenance strategy effectiveness. The fuzzy logic approach converts qualitative data into quantitative performance indices, revealing that proactive (CBM) and aggressive (TPM) strategies outperform reactive (BDM) ones, and demonstrates that combining fuzzy modeling with maintenance logs and expert judgment can guide managers in choosing optimal strategies.

Abstract

Abstract Purpose – To help the maintenance managers/decision makers to select a suitable maintenance strategy for the components/parts associated with the system. Design/methodology/approach – An approach based on fuzzy linguistic modeling is used to select the most effective and efficient maintenance strategy. Three input parameters, i.e. historical data (I1), present data (I2) and competence of data (I3) related to failures of a component (gears), were taken to judge the effectiveness of the nature of maintenance strategies. These parameters are represented as members of a fuzzy set, combined by matching them against (if‐then) rules in rule base, evaluated in fuzzy inference system (Mamdani, min‐max type) and then defuzzified to assess the capability or effectiveness of maintenance strategy. Findings – The results show how the fuzzy logic approach translates vague, ambiguous, qualitative and imprecise information into numerical/quantitative terms, which helps to identify the most informative and efficient maintenance strategy. From the computed performance index values for each maintenance strategy it is observed that proactive (CBM) and aggressive maintenance strategy (TPM) are far better compared with traditional, reactive (BDM) maintenance strategy. Originality/value – The paper integrates fuzzy logic modeling – a knowledge‐based approach with database obtained through maintenance logs, historical records, equipment manuals and expert judgement, which might prove beneficial for maintenance managers/engineers/practitioners to select a suitable maintenance strategy for each piece of equipment associated with the systems.