Industrial and Manufacturing Designs

This book promotes the idea of creative thinking to those working on qualitative and quantitative analysis for reinforcing engineering designs relating to industrial and manufacturing domains.

The book focuses on the development of the theoretical foundations and discusses the utility of integration of critical components and systems engineering for effective systems design. The book presents research directions and can be used as a tool to understand in-depth possible ways related to the management of industrial and manufacturing activities, processes, actions, benchmarks, and so on. The new ideas, theories, and methods related to qualitative and quantitative research will improve manufacturing knowledge linked to the manufacturing process.

Readers will find that the book:

• Explains qualitative and quantitative research for exploiting system characteristics and attaining system efficiency, as well as what decision-making tools are available for attaining sustainability in industrial fields;
• Discusses the utility of qualitative and quantitative models and analytical frameworks for enduring sustainability and the exploration of new ideas, critical theories, and methods related to qualitative and quantitative research;
• Disseminates industrial and manufacturing knowledge and allied boundaries, including case studies and sustainable ways to retain excellence in industrial and manufacturing domains based on qualitative and quantitative analysis;
• Presents critical aspects related to lean manufacturing and lean management tools, and demonstrates pure research and practical solutions to manufacturing problems;
• Offers theoretical content and demonstrations of manufacturing applications, as well as critical thinking and methodological support for optimizing resources and consumption;
• Reviews the development of supply chain network designs based on qualitative and quantitative aspects.

Atul Kumar Sahu, PhD, is an assistant professor in the Department of Industrial and Production Engineering, Guru Ghasidas Central University, Bilaspur, India. He obtained a PhD from the National Institute of Technology, Raipur, India. His research focuses on multi-criteria decision-making and supply chain performance measurement. Dr. Atul Kumar Sahu has worked under the dimensions of decision modeling in industrial and manufacturing practices to attain sustainability and has more than 50 papers published in international journals.

Rakesh D. Raut, PhD, is an associate professor in the Department of Operations and Supply Chain Management, National Institute of Industrial Engineering, Mumbai, India. He obtained a PhD from the National Institute of Industrial Engineering. His research is dedicated to studying partner selection, collaborative network organizations, managing supplier relations, etc. He has published 100+ articles by authors in industrial and manufacturing practices.

Rohit Raja, PhD, is an associate professor in the Department of Information Technology, Guru Ghasidas Central University, Bilaspur, India. He obtained a PhD in computer science and engineering from Dr. CVRAMAN University in 2016. His research focuses on face recognition and identification, digital image processing, signal processing, etc. Raja has published 11 patents and 85 research papers in various national and international journals.

Anoop Kumar Sahu, PhD, is an assistant professor in the Department of Mechanical Engineering, Guru Ghasidas Central University, Bilaspur, India. He studied in the realm of logistics and supply chains for his PhD in 2015. He has 60 published research documents. He actively works within the architecture of decision-making domain to address industrial processes.

Nitin Kumar Sahu, PhD, is an assistant professor in the Department of Industrial and Production Engineering, Guru Ghasidas Central University, Bilaspur, India. His areas of interest include optimization, manufacturing, production engineering, and industrial engineering. He has published more than 50 papers in international journals.