In a society that praises and promotes technological advancement, it becomes increasingly essential to review the effects of such rapid technological growth. New high-tech advances need to be examined to determine what they mean to science, society, and industry along with the benefits and challenges they present. The Handbook of Research on Industrial Advancement in Scientific Knowledge addresses the intersection of technology and science where engineering considerations, mathematical approaches, and management tools provide a better understanding and awareness of Industry 4.0, while also taking into account the impact on current society. This publication identifies methodologies and applications related to decision making, risk and uncertainty, and design and development not only on scientific and industrial topics but also on social and ethical matters. It is designed for engineers, entrepreneurs, academicians, researchers, managers, and students.

• Cover
• Title Page
• Copyright Page
• Book Series
• Editorial Advisory Board
• List of Contributors
• Table of Contents
• Detailed Table of Contents
• Preface
• Acknowledgment
• Section 1: Section 1
  • Chapter 1: Technodata and the Need of a Responsible Industry 4.0
  • Chapter 2: Exploring the Effect of Emerging Technologies on Scientific Knowledge Production and the Industrial Advancement of Society
  • Chapter 3: Decision Making Under Uncertainty and Risks in the Face of Rapidly Advancing Technologies
  • Chapter 4: Technological Revolution, Transhumanism, and Social Deliberation
  • Chapter 5: Human Perfection and Contemporary Enhancement Technologies
  • Chapter 6: The Society of the Digital Swarm
• Section 2: Section 2
  • Chapter 7: Racing Ahead With Innovation
  • Chapter 8: Towards an Industry 4.0-Based Maintenance Approach in the Manufacturing Processes
  • Chapter 9: Assessing HRO Principles for Reliable Performance in Asset-Intensive Organizations
  • Chapter 10: Anticipation of Problems in Innovative Projects Based on OTSM-TRIZ
  • Chapter 11: Design Knowledge Development and Additive Manufacturing Systems
• Section 3: Section 3
  • Chapter 12: To Mine or Not to Mine?
  • Chapter 13: Innovation in Scientific Knowledge Based on Forecasting Assessment
  • Chapter 14: Decision Making for Energy Management in Smart Grid
  • Chapter 15: Application of MSTAM Methodology in Project Management
  • Chapter 16: Data-Driven Decision Making to Select Condition-Based Maintenance Technology
  • Chapter 17: Decision Making in the Choice of Condition-Based Maintenance Techniques in a Subsidiary of a Petrochemical Company
  • Chapter 18: The Implementation of Nearly Zero Energy Buildings (nZEB) in Spain
• Compilation of References
• About the Contributors
• Index