Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice

Abstract

Today many manufacturing firms expect a significant impact of ‘Industry 4.0’ on their supply chains, operations, and business models. However, its complex characteristics are yet to be fully comprehended by most of them. As a result, there are several apprehensions pertaining to its structure, techno-organisational capabilities, and methodologies for shaping the vision of Industry 4.0. We propose an Industry 4.0 maturity model, which is empirically grounded and technology-focussed for assessing the maturity level of Indian manufacturing organisations. The model comprises of 7 dimensions and 38 maturity items. Further, the model is validated in an auto-component manufacturing company to reinforce the learning from the model. The results reveal that the company is in ‘Digital Novice’ maturity level with a maturity score of 2.88 against the highest maturity score of 5. The study demonstrates that the model is validated in a real-life environment and is easy for self-assessment.

Keywords:

• Industry 4.0
• maturity model
• readiness assessment
• indian manufacturing industry
• maturity index
• maturity level

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Aniruddha Anil Wagire

Aniruddha Anil Wagire is a lecturer in Automobile Engineering at Government Polytechnic, Awasari khurd, Maharashtra and Research Scholar at Malaviya National Institute of Technology Jaipur. He has earned his Bachelor’s Degree in Automobile Engineering and Master’s Degree in Mechanical Engineering (Design) from the Department of Mechanical Engineering, Rajarambapu Institute of Technology, Rajaramnagar, Shivaji University, Maharashtra, India. His areas of research interests include Industry 4.0, smart manufacturing, Latent semantic analysis, Advance manufacturing technologies. He is a member of ISTE.

Rohit Joshi

Rohit Joshi is an Associate Professor in IIM Shillong, India. He is a Fulbright Fellow and has done his Postdoctoral research from the University of California, Los Angeles (UCLA) USA. He has done his Ph.D. from the Indian Institute of Technology, Delhi. His consulting and teaching interests include Operations and Supply Chain Management, Quality Management, Food Supply Chain Management, Business Statistics, Quantitative techniques, Value-engineering, Creative problem solving, and Information technology, Java-based web technologies, and system modelling.

Ajay Pal Singh Rathore

Ajay Pal Singh Rathore is a professor in Department in Mechanical Engineering, Malaviya National Institute of Technology Jaipur, India. His research areas include supply chain management, lean manufacturing, new product development, operations management, benchmarking and total quality management. He has authored over 80 research articles in these areas. He is a member of ISTE and IIIE.

Rakesh Jain

Rakesh Jain is a professor in Mechanical Engineering Department at Malaviya National Institute of Technology Jaipur, India. His research areas include, supply chain management, lean manufacturing, new product development, strategic management and total quality management. He has authored over 45 research articles in these areas. He is a life member of ISTE. He is member of IIIE and chairman of Jaipur chapter of IIIE.