This book is a compilation of expansions of the best papers presented at the 16 th International Conference on Industrial Engineering and Industrial Management, which took place on-line on 7 th and 8 th July 2022. The conference was organized by the Universidad de Castilla-La Mancha, Spain.

IoT and Data Science in Engineering Management highlights the latest research advances and analyses of real-world case studies in industrial engineering and industrial management from a wide range of international contexts. It also identifies business applications and the latest findings and innovations in operations management and the decision sciences. The contributing authors report their findings on subjects as diverse as sustainability and eco-efficiency, information systems and knowledge management, education in organizational engineering and the circular economy.

Encourages use of data-based technologies in management and industrial engineering Brings readers up to date in a field that is extremely important for industrial competitiveness International contributions give breadth of perspective to the coverage

Inhalt

1. Sustainability, Eco-efficiency and Quality Management.- 2. Strategy, Innovation, Networks and Entrepreneurship.- 3. Operations Research, Modelling and Simulation.- 4. Supply Chain Management and Logistics.- 5. Production Planning and Control.- 6. Management Information Systems and Knowledge Management.- 7. Project and Process Management.- 8. Service Systems.- 9. Human Resources and Organizational Design.- 10. Product Design, Industrial Marketing and Consumer Behaviour.- 11. Education in Organizational Engineering.- 12. IT-enabled Education in Organizational Engineering.- 13. Circular Economy.