Litcius/Paper detail

Predictive Maintenance for SME in Industry 4.0

Vrinda Rastogi, Sahima Srivastava, Manasi Mishra, Rachit Thukral

202016 citationsDOI

Abstract

Technology and businesses go hand in hand in this modern bustling work environment. The rapid change in the IT sector necessitates that corporations change accordingly. Industry 4.0 carries a plethora of vital, innovative systems that could optimise products and make services more efficient. Predictive Maintenance is one such instance where IIoT improves various industrial processes and the products generated using these processes. Therefore, this paper aims to present a literature review about the recent technologies available in predictive maintenance with Industry 4.0. The survey focuses on the technologies adopted by all kinds of industries, however, a special emphasis has been awarded to Small and Medium Enterprises. It has been organised based on industrial goals, architecture, and methodology which can help the stackholders to take informed decision for their business. This work aims to summarize the recent advancements in the IIoT with a corporative point-of-view.

Topics & Concepts

Predictive maintenanceIndustry 4.0Work (physics)Computer scienceEmerging technologiesRisk analysis (engineering)BusinessProcess managementEngineeringArtificial intelligenceMechanical engineeringReliability engineeringEmbedded systemDigital Transformation in IndustryIndustrial Vision Systems and Defect DetectionQuality and Safety in Healthcare