Decision Analytics Applications in Industry (Asset Analytics) - Tapa blanda

Acerca del autor

P. K. Kapur is Director of the Amity Centre for Interdisciplinary Research, Amity University, Noida, and former Dean of the Faculty of Mathematical Sciences, University of Delhi, India. He has been the President of the SREQOM (Regd.) since 2000 and is a former President of ORSI. He is the Editor-in-Chief of International Journal of System Assurance Engineering and Management, Springer (India), has published over 350 papers in international journals and proceedings, and has co-authored two books on Software Reliability with OR Applications.

Gurinder Singh is Group Vice Chancellor of Amity Universities, Director General of the Amity Group of Institutions, India, and Vice Chairman of the Global Foundation for Learning Excellence. He holds doctorate and postgraduate degrees from the Indian Institute of Foreign Trade, Delhi and has more than 20 years of experience in institutional building, teaching, research, and industry. He has given keynote lectures at various international forums which include the prestigious Million Dollar Round Table Conference at Harvard Business School, NYU, University of Leeds, University of Berkeley, National University of Singapore, and many more.

Yury S. Klochkov is Director of the Monitoring Center for Education and Research and a Professor at the Department of Economics and Management in Mechanical Engineering, St. Petersburg Polytechnic University, Russia. He completed his Ph.D. and postdoctoral degree in Standardization and Quality Management in 2006 and 2012, respectively. In the past, he has held several job positions at Samara State Aerospace University, including Director of Quality Management and Vice-President of the Thesis Committee. He has authored over 100 publications in various areas of quality management.

De la contraportada

This book presents a range of qualitative and quantitative analyses in areas such as cybersecurity, sustainability, multivariate analysis, customer satisfaction, parametric programming, software reliability growth modeling, and blockchain technology, to name but a few. It also highlights integrated methods and practices in the areas of machine learning and genetic algorithms. After discussing applications in supply chains and logistics, cloud computing, six sigma, production management, big data analysis, satellite imaging, game theory, biometric systems, quality, and system performance, the book examines the latest developments and breakthroughs in the field of science and technology, and provides novel problem-solving methods.

The themes discussed in the book link contributions by researchers and practitioners from different branches of engineering and management, and hailing from around the globe. These contributions provide scholars with a platform to derive maximum utility in the area of analytics by subscribing to the idea of managing business through system sciences, operations, and management. Managers and decision-makers can learn a great deal from the respective chapters, which will help them devise their own business strategies and find real-world solutions to complex industrial problems.