Automation In Automotive Industries

G. Volpato, A. Camuffo, A. Comacchio 1.1 The background During recent years the dynamics of automotive industry and its supply chain has catalysed the attention and the research effort of a wide international group of scholars as: the International Motor Vehicle Program (JMVP) of Massachusetts Institute of Technology, the Permanent Study Group for the Automobile Industry and Its Employees (GERPISA) of Paris, and the International Car Distribution l Programme (ICDP) of Solihull. This favoured the publication of relevant studies and the growth of networks of academicians and practitioners interested in studying the patterns of industry evolution and in organising meetings to present and discuss issues of common interest. In 1992 some members of these research projects decided to organize a first conference in Berlin dedicated to the main theme of automation and organization in the automobile industry. In 1993 a second conference took place in Tokyo, followed by a technical visit to a few automobile manufacturers and components suppliers plants (Toyota, Nissan, Mitsubishi, etc.).

For the world's leading car-makers, the early 1990s brought radical changes. The reports published by MIT shocked management in European and American industries. Former major companies had to face consequences no one had expected. The assembly-lines were reorganized in order to achieve higher quality at lower costs. Five years after the MIT report, this book poses the question: What are the results of this revolution in work organization? Scientists and practitioners, many of them involved in earlier reports, evaluate the changes to the automotive industry in Europe and Japan. An insight into recent concepts in automation and the organization of production.

Increasing levels of driving automation has changed the role of the driver from active operator to passive monitor. However, Systems Design has been plagued by criticism for failing to acknowledge the new role of the driver within the system network. To understand the driver's new role within an automated driving system, the theory of Distributed Cognition is adopted. This approach provides a useful framework for the investigation of allocation of function between multiple agents in the driving system. A Systems Design Framework has been developed that outlines how the Distributed Cognition paradigm can be applied to driving using both qualitative and quantitative research methodologies.

G. Volpato, A. Camuffo, A. Comacchio 1.1 The background During recent years the dynamics of automotive industry and its supply chain has catalysed the attention and the research effort of a wide international group of scholars as: the International Motor Vehicle Program (JMVP) of Massachusetts Institute of Technology, the Permanent Study Group for the Automobile Industry and Its Employees (GERPISA) of Paris, and the International Car Distribution l Programme (ICDP) of Solihull. This favoured the publication of relevant studies and the growth of networks of academicians and practitioners interested in studying the patterns of industry evolution and in organising meetings to present and discuss issues of common interest. In 1992 some members of these research projects decided to organize a first conference in Berlin dedicated to the main theme of automation and organization in the automobile industry. In 1993 a second conference took place in Tokyo, followed by a technical visit to a few automobile manufacturers and components suppliers plants (Toyota, Nissan, Mitsubishi, etc.).

Nothing defined the 20th century more than the evolution of the car industry. The 2020 decade will see the automotive industry leap forward beyond simply moving people geographically toward a new purpose: to become a services industry. This book takes readers on a journey where cars will evolve towards becoming “computers on wheels." The automotive industry is one of the sectors most profoundly changed by digitalization and the 21st century energy needs. You'll explore the shifting paradigms and how cars today represent a new interpretation of what driving should be and what cars should offer. This book presents exciting case studies on how artificial intelligence (AI) and data analytics are used to design future cars, predict car efficiency, ensure safety and simulate engineering dynamics for its design, as well as a new arena for IoT and human data. It opens a window into the origins of cars becoming software-run machines, first to run internal diagnostics, and then to become machines connected to other external machines via Bluetooth, to finally the Internet via 5G. From transportation to solving people’s problems, The Future of the Automotive Industry is less about the technology itself, but more about the outcomes of technology in the future, and the transformative power it has over a much beloved item: cars. What You’ll Learn Explore smart cities and their evolution when it comes to traffic and vehicles Gain a new perspective on the future of cars and transportation based on how digital technologies will transform vehicles Examine how AI and IoT will create new contexts of interactions with drivers and passengers alike Review concepts such as personalizing the driving experience and how this will take form See how self-driving cars impact data mining of personal data Who This Book Is For Anyone with an interest in digital advancements in the automotive industry beyond the connected car.