Design of an intelligent decision-making system for maintenance practices using fuzzy inference system in northern Indian SMEs

被引：4
|
作者：
Sidhu, Simranjit Singh [1 ]
Singh, Kanwarpreet [1 ]
Ahuja, Inderpreet Singh [1 ]
机构：
[1] Punjabi Univ, Mech Engn Dept, Patiala, Punjab, India
来源：
JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING | 2022年 / 28卷 / 01期
关键词：
Maintenance practices implementation; Fuzzy inference system; Performance parameters; SMEs; IMPLEMENTATION;
D O I：
10.1108/JQME-05-2020-0043
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Purpose The paper aims to analyze the significance of key maintenance practices in effective implementation of the performance parameters in Northern Indian small and medium-sized enterprises (SMEs). Design/methodology/approach The present study deploys a fuzzy inference approach (fuzzy logic toolbox) to test the effective implementation of maintenance practices in SMEs. The significant maintenance factors are defined from applicable literature for this reason and validated by industry experts. Findings A model built into a fuzzy rule viewer and a surface view tool built into a fuzzy toolbox in MATLAB has highlighted the successful implementation of maintenance practices in Indian SMEs. The study highlights that corrective maintenance, general maintenance, preventive maintenance and breakdown maintenance problems have emerged as important indicator variables for effective synergistic implementation of maintenance practices in northern Indian SMEs. Originality/value An output assessment model is developed using a fuzzy set theory for maintenance practices, where performance evaluation is significant to the overall performance of SMEs.
引用
收藏
页码：154 / 179
页数：26
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