Implementation of Quality 4.0, a systematic review of approaches, root causes, and challenges

Abstract

Implementation of Quality 4.0 in Industry 4.0 has elevated traditional Quality control processes by adopting the latest technological developments. Approaches to implementing Quality 4.0 include infrastructure and technological developments (artificial intelligence, machine learning, Internet of Things), and the retraining of the members of the workforce. Bringing about changes in the conventional quality processes is challenging. The root causes of failure in implementation incorporate internal factors, external factors, methodology of the framework, employees’ skills, lack of cultural environment, and initial cost for advanced technology and infrastructure development. As the concept of Quality 4.0 is still new to many industries, there are many challenges in implementation which will be addressed in this article.

Keywords:

• Industry 4.0
• implementation of quality 4.0
• root causes
• challenges

Disclosure statement

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

Additional information

Notes on contributors

Tama Rani Sarker

Tama Rani Sarker is a graduate student of the Quality Engineering and Management Department at Southern Illinois University Carbondale. She completed her bachelor’s in Footwear Engineering from the University of Dhaka, Bangladesh. Her research interest is in Quality 4.0, Lean Six Sigma, Supply chain management, and Quality assurance.

Julie K. Dunston

Julie K. Dunston received a Bachelor of Science in Industrial Engineering and a Master of Science in Industrial Engineering from the University of Iowa. She completed her PhD in Mechanical Engineering from Florida State University. She has taught courses in the areas of robotics, facilities planning, production, and inventory control, service quality, and quality assurance. Her research interests are in the field of artificial intelligence (neural networks, genetic algorithms) and process control.