Nachiappan Subramanian & S G Ponnambalam 
INNOVATION ANALYTICS: TOOLS FOR COMPETITIVE ADVANTAGE [EPUB ebook] 
Tools for Competitive Advantage

Innovation analytics is an emerging paradigm that integrates information/knowledge, analytics, digital twins and artificial intelligence to support and manage the entire lifecycle of a product and process from inception, through engineering design and manufacture, to service and disposal of manufactured products. Innovation analytics is set to become an integral part of the innovation lifecycle to help make smart, agile decisions and accelerate business growth.

Innovation Analytics: Tools for Competitive Advantage provides a comprehensive overview of the challenges and opportunities behind the latest research surrounding technological advances driving innovation analytics; the transition of analytical ideas to interdisciplinary teams; the development of deep synchronicity of skills and production innovation; and the use of innovation analytics in multiple stages of product and process evolution.

In exploring the impact of emerging developments in the current climate, researchers and academics will be able to gain insight into real-world usage of analytics for innovation and its contribution toward society. As such, students, scientists, engineers, academics, and management professionals alike will find this title beneficial.

Contents:

• About the Editors


• Introduction (Nachiappan Subramanian, S G Ponnambalam, Mukund Janardhanan and Subramaniyan Mukund)


• Product and Process Innovation:
  
  
  
  • Consumer Product Innovation and the Opportunities for Data Analytics (Heather Burgess, Kripa Rajshekhar and Wlodek Zadrozny)
  
  
  • R&D in Product and Process Innovation — System Design of Multidisciplinary Products by Applying Mass Customization Approaches (Tufail Habib)
  
  
  • Business Model Innovation Analytics for Small to Medium Enterprises (Matheus Franco, Vinicius Minatogawa, Ruy Quadros, Orlando Duran, Antonio Batocchio, Jose Garcia and Matias Valenzuela)
  
  
  • Analysis of Factors Influencing Product and Process Innovation for Smart Manufacturing (Anilkumar Malaga and Sekar Vinodh)
  
  


• Artificial Intelligence:
  
  
  
  • AI-Driven Innovation: Leveraging Big Data Analytics for Innovation (Aniekan Essien)
  
  
  • A Survey of IIo T and AI-Enabled Manufacturing Systems: Use Case Perspective (N R Srinivasa Raghavan and Sandeep Dulluri)
  
  
  • Fighting Food Waste: How Can Artificial Intelligence and Analytics Help? (Lohithaksha M Maiyar, Ramakrishnan Ramanathan, Shanta Lakshmi Belavadi Nagaraja Swamy and Usha Ramanathan)
  
  
  • Intelligent Traffic Solutions (Role of Machine Learning and Machine Reasoning) (Shivani Agarwal, Pallavi Gusain, Arundhati Jadhav, Purabi Panigrahy, Benjamin Stewart, Alekhya Penmatsa and Tugrul Daim)
  
  


• Data Engineering:
  
  
  
  • Mitigating the Proclivity Toward Multiple Adjustments Through Innovative Forecasting Support Systems (Banusha Aruchunarasa and H Niles Perera)
  
  
  • Fuzzy Logic-Based Multi-Objective Decision-Making Model for Design Evaluation in an Open Innovation Environment (S Denis Ashok, S Krishna and S G Ponnambalam)
  
  
  • A Sentiment-Based Approach for Innovative Product Sales Forecasting (M A Premachandra, P T Ranil S Sugathadasa, Amila Thibbotuwa and H Niles Perera)
  
  
  • Conclusion (Nachiappan Subramanian, S G Ponnambalam and Mukund Janardhanan)
  
  


• Index

Readership: This is an interdisciplinary textbook useful for undergraduates and postgraduates at studying analytics courses at college or university. Courses may include: new product development, business analytics, supply chain management, project management, innovation management, engineering management and technology management. Also of interest to courses accredited by the Chartered Institute of Logistics and Transport Management or the Chartered Institute of Procurement and Supply.

Key Features:

• This book focuses on the novel aspects of innovation analytics by blending the capabilities of designers and data specialist from interdisciplinary perspectives, driving synchronicity in skills and operations wide innovation


• The above topics have not been covered in any previously published books


• This book presents the blended perspectives of production, process innovation, and advanced analytics with the collection of high quality research studies from global academics and practitioners


• This book explores advancements in artificial intelligence in descriptive, diagnostic, predictive and prescriptive analytics in product and process innovation in order to improve business performance