Investigating determinants of digital twins for predictive maintenance

Journal of Quality in Maintenance Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 9, 2025

Purpose In Industry 4.0, different technologies are used to improve the efficiency and reduce downtime of processes in organization. It can be achieved by using predictive maintenance (PdM) technique avoid sudden breakdowns industry. is important implement digital twin (DT) for PdM. DT PdM nascent stage. This study focused on identification determinants real-life implementation. Design/methodology/approach has DTs To analyse these determinants, multi-criteria decision-making (MCDM) techniques were applying Decision-Making Trail Evaluation Laboratory (DEMATEL) interpretive structural modelling (ISM) approaches. Findings this study, 13 found out through literature survey. These classified into cause effect DEMATEL approach. Similarly, ISM methodology was applied categorized levels. results compared, it that real-time analysis, decision-making, self-monitoring diagnosis most important. Practical implications useful academic researcher as well industrialist Therefore, implemented application considering determinants. Originality/value one first studies represent investigation

Язык: Английский

Drivers of digital technologies-driven circular economy in the Nigerian construction industry: a PLS-SEM approach

Smart and Sustainable Built Environment, Год журнала: 2025, Номер unknown

Опубликована: Апрель 10, 2025

Purpose The predominance of linear economy practices has contributed to inefficiencies, poor productivity, health and safety issues cost time overruns, which have impacted the volume construction demolition waste generated in construction. Digital technologies (DTs) enable speedy transition circular (CE) overcome inefficiencies associated with production system bring about sustainability built environment. This study investigated drivers digitalisation CE construction, a focus on Nigerian industry. Design/methodology/approach A quantitative approach was adopted, structured questionnaire conveniently used gather relevant data from professionals. collected were analysed using relative importance index (RII), Kruskal–Wallis H test partial least square-structural equation modelling (PLS-SEM). Findings RII revealed that assessed factors are important driving forces digital technologies-enabled adoption leading five optimise product recycling, conversion valuable energy, regulations legislation technology usage, laws prohibiting handling availability improved information exchange. Based SEM outputs, influencing implementation organisational drivers, economic business environmental social cultural technological government institutional drivers. Practical implications Construction stakeholders decision-makers will use this as input making decisions impact tripods (i.e. environment, society economy). Future studies can utilise findings base underpin theoretical assumptions hypotheses. Originality/value There is dearth technology-led Nigeria. pioneers research area provides comprehensive understanding

Язык: Английский