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

Sidhu, Simranjit Singh; Singh, Kanwarpreet; Ahuja, Inderpreet Singh

doi:10.1108/jqme-05-2020-0043

Cited by 4 publications

(3 citation statements)

References 45 publications

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“…Furthermore, it has reaped substantial acknowledgement among the academic community 67 – 69 . In additional, it has been noted that Mamdani’s FRBS have the capability to be developed using the assessments provided by a limited group of specialists 70 .…”

Section: Methodsmentioning

confidence: 99%

Promoting safety of underground machinery operators through participatory ergonomics and fuzzy model analysis to foster sustainable mining practices

Sakinala,

Paul,

Fissha

2024

Sci Rep

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One of the most vital parameters to achieve sustainability in any field is encompassing the Occupational Health and Safety (OHS) of the workers. In mining industry where heavy earth moving machineries are largely employed, ergonomic hazards turn out to be significant OHS hazards causing Musculoskeletal Disorders (MSDs) in the operators. Nevertheless, the Indian mining industry lacks a comprehensive technique of OHS risk assessment, especially for ergonomic hazards that cause MSDs. This research appraises ergonomic hazards and develops Fuzzy Musculoskeletal-disorders Index (FMI) model to evaluate ergonomic-related MSDs. Work process and work tool ergonomic risk factors were identified through literature review and directives recommended by experts. Work posture was evaluated using RULA. The data-collecting approach was implemented using participatory ergonomic and design science principles. The FMI results show average MSDs score of 3.69, indicating high to extremely high risk. Surface plots show that combined work tool and work process was the most sensitive factors to MSDs risk compared to other two combinations. A two-sample t-test validated the FMI. The findings should help safety experts and managers develop effective OHS management plans and programmes for the sustainability of Indian mining industry.

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Section: Methodsmentioning

confidence: 99%

Promoting safety of underground machinery operators through participatory ergonomics and fuzzy model analysis to foster sustainable mining practices

Sakinala,

Paul,

Fissha

2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Technical [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], 17…”

Section: Inclusion-exclusion Criteriamentioning

confidence: 99%

“…, [26], [27], [40], [43], [41], [33], [28], [34], [44], [29], [35], [45], [46], [48], [50], [51], [52], [36], [53], [54], [57], [58], 23…”

Section: Inclusion-exclusion Criteriaunclassified

A Systematic Mapping Study of Predictive Maintenance in SMEs

et al. 2022

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The rapid growth of Industry 4.0 and predictive methods fostered a great potential for state-of-the-art techniques in the industrial sector, especially in smart factories. The equipment failure or system breakdowns during run time of a factory creates a severe problems towards impoverishment of the production system and destitution of the business. Predictive Maintenance (PdM) is a cost-saving and data driven technique to predict the maintenance time of in-service equipment or systems to reduce breakdown time and increase productivity. Although PdM is pragmatically adopted in large-scale industries, there is a lack of studies that map the PdM adoption in small and medium-sized enterprises (SMEs). In this systematic mapping study (SMS), we focus on predictive maintenance from an SME perspective to explore the field for researchers, scientists, and developers to comprehend the potential of PdM systems, their challenges, distinctive characteristics, and best practices in SMEs. Our study is based on four research questions comprised of demographic data, key challenges, distinctive characteristics, and best practices of predictive maintenance in SMEs. We found that the current literature on PdM is deficient in the SME domain, especially the financial side is vague. There is a huge potential for PdM in SMEs to design cost models and focus on data availability impediments. Management and monitoring of PdM and skilled personnel are also inadequate. Thus, we present a study that extracts the knowledge from the existing literature about PdM in SMEs, finds the research gap, and can assist in identifying the barriers and challenges of PdM adoption in SMEs.

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Integrated approach for occupational health and safety (OHS) risk Assessment: An Empirical (Case) study in Small enterprises

Ahmed¹,

Hoque²,

Karmaker³

et al. 2023

Safety Science

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

Cited by 4 publications

References 45 publications

Promoting safety of underground machinery operators through participatory ergonomics and fuzzy model analysis to foster sustainable mining practices

Promoting safety of underground machinery operators through participatory ergonomics and fuzzy model analysis to foster sustainable mining practices

A Systematic Mapping Study of Predictive Maintenance in SMEs

Integrated approach for occupational health and safety (OHS) risk Assessment: An Empirical (Case) study in Small enterprises

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