Evaluating Smart Manufacturing Readiness: A Maturity Model Perspective

The emergence of Industry 4.0 has transformed the manufacturing sector, necessitating established frameworks to appraise digital preparedness. To fill in the gaps in current models that ignore the particular obstacles faced by small and medium-sized businesses (SMEs) and urban manufacturing firms, this study suggests a customized Urban Smart Factory (USF) maturity model. The approach incorporates essential elements, including sustainability, resilience, digitalization, and workforce competencies, providing a thorough assessment of smart manufacturing preparedness. Key research trends were diagnosed by bibliometric analysis, and case studies from several manufacturing sectors were used to validate the suggested model. According to the findings, a large number of firms inadequately use the instruments necessary to evaluate workforce and technology readiness, which leads to irregular attempts at digital transformation. By offering an organized framework for distinguishing technology gaps, assessing organizational adaptability, and facilitating the creation of strategic roadmaps for Industry 4.0 adoption, the USF maturity model fills this gap. By highlighting the connections between technology, human capital, and administrative processes, the study advances our acquiesce of digital transformation in the urban manufacturing framework and adds to the theoretical conversation. The recognition of the model provides useful information for businesses perceiving to advance their digital maturity while negotiating the challenges of smart manufacturing. Future studies should concentrate on incorporating cutting-edge technology like blockchain and artificial intelligence while broadening the model’s application through many businesses and geographical areas. Conclusively, our research creates the groundwork for manufacturing ecosystems that are robust, sustainable, and technologically sophisticated, spurring long-term growth and innovation.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.90300183
Citations
1
Primary Topic
Technology Assessment and Management
Type
article
Field-Weighted Citation Impact
1.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating Smart Manufacturing Readiness: A Maturity Model Perspective

Ahmad Nazif Noor Kamar, Ahmad Zamri Osman, Puteri Fadzline Muhamad Tamyez, Muhammad Hammad et al.
1 citations
International Journal of Research and Innovation in Social Science
Technology Assessment and Management
1.30
article

Evaluating Smart Manufacturing Readiness: A Maturity Model Perspective

Ahmad Nazif Noor Kamar, Ahmad Zamri Osman, Puteri Fadzline Muhamad Tamyez, Muhammad Hammad, Syed Radzi Bin Rahmaddulla
article en
1 citations

Abstract

The emergence of Industry 4.0 has transformed the manufacturing sector, necessitating established frameworks to appraise digital preparedness. To fill in the gaps in current models that ignore the particular obstacles faced by small and medium-sized businesses (SMEs) and urban manufacturing firms, this study suggests a customized Urban Smart Factory (USF) maturity model. The approach incorporates essential elements, including sustainability, resilience, digitalization, and workforce competencies, providing a thorough assessment of smart manufacturing preparedness. Key research trends were diagnosed by bibliometric analysis, and case studies from several manufacturing sectors were used to validate the suggested model. According to the findings, a large number of firms inadequately use the instruments necessary to evaluate workforce and technology readiness, which leads to irregular attempts at digital transformation. By offering an organized framework for distinguishing technology gaps, assessing organizational adaptability, and facilitating the creation of strategic roadmaps for Industry 4.0 adoption, the USF maturity model fills this gap. By highlighting the connections between technology, human capital, and administrative processes, the study advances our acquiesce of digital transformation in the urban manufacturing framework and adds to the theoretical conversation. The recognition of the model provides useful information for businesses perceiving to advance their digital maturity while negotiating the challenges of smart manufacturing. Future studies should concentrate on incorporating cutting-edge technology like blockchain and artificial intelligence while broadening the model’s application through many businesses and geographical areas. Conclusively, our research creates the groundwork for manufacturing ecosystems that are robust, sustainable, and technologically sophisticated, spurring long-term growth and innovation.

International Journal of Research and Innovation in Social ScienceVol. IX(III)
Openalex Percentile: Top 23%
Technology Assessment and Management
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.