Table 8

Research methods and tools

Research methodologyNumber of studiesTools used
Case study29OEE benchmarking, Process optimisation, Production system design, Failure analysis, Lean methodologies, Supply chain analysis
Empirical research22Real-time operational monitoring, tracking through software and KPI dashboards
Systematic review/Literature review8Tools from meta-analysis, software for bibliometric analysis, and frameworks of research synthesis
Simulation-based study8Discrete event simulation, software, Digital Twin, system dynamics models, AGVs, and optimisation algorithms. The Internet of Things (IoT) (Nord et al., 2019) and machine learning models, especially those for predictive maintenance
Data-driven analysis5Data collection tools, such as statistical models and overall equipment effectiveness evaluation frameworks
Survey-based study5Questionnaire-based assessments, statistical correlation tools, and structured surveys
Theoretical discussion4OEE frameworks, Theoretical modelling, Cyber-Physical Systems (CPS), Predictive Maintenance, Performance evaluation
Source(s): Own authors' work

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