Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
The ManuFuture Road
Manufacturing in Europe is under great pressure from structural changes in the global economy. The high technical, social and cultural standards in Europe mean that our manufacturing enterprises lead the world but inevitably production and consumption continues to migrate to regions that allow higher profitability from lower costs of production with the promise of new markets. Structural changes in European industries will influence employment and welfare. However, there are signs of a new High-Adding-Value industrial revolution. This book has the answers that will allow us to avoid the negative consequences of this migration. A new model of future manufacturing – ManuFuture - has been forged in discussion with the world’s leading scientists in manufacturing and many experts from research, industry and economic policy. The results of this, the road to competitive and sustainable manufacturing, are captured in this fundamental book. The generic Model of ManuFuture, a Vision 2020 and a Strategic Research Agenda and the proactive initiatives required are presented here. They show the approach to manufacturing in the age of knowledge and the actions that must be taken.
Green Design, Materials and Manufacturing Processes
Green Design, Materials and Manufacturing Processes includes essential research in the field of sustainable intelligent manufacturing and related topics, containing reviewed papers presented at the 2nd International Conference on Sustainable Intelligent Manufacturing 2013. Topics covered include Eco Design and Innovation, Energy Efficiency, Green and Smart Manufacturing, Green Transportation, Life-Cycle Engineering, Renewable Energy Technologies, Reuse and Recycling Techniques, Smart Design, Smart Materials, Sustainable Business Models and Sustainable Construction. Intended for engineers, architects, designers, economists and manufacturers dealing with key sustainability issues.
Human Aspects in Computer Integrated Manufacturing
The papers in this volume reflect the current research and development of advanced manufacturing software. They may be categorized as follows: New Concepts towards CIM, Product Realization through Product/Process Modelling, Intelligent Management and Control of Manufacturing Activities, and Development of CIM Systems.
Proceedings of the 4th International Conference on the Industry 4.0 Model for Advanced Manufacturing
This book gathers the proceedings of the 4th International Conference on the Industry 4.0 Model for Advanced Manufacturing (AMP 2019), held in Belgrade, Serbia, on 3–6 June 2019. The event marks the latest in a series of high-level conferences that bring together experts from academia and industry to exchange knowledge, ideas, experiences, research findings, and information in the field of manufacturing. The book addresses a wide range of topics, including: design of smart and intelligent products, developments in CAD/CAM technologies, rapid prototyping and reverse engineering, multistage manufacturing processes, manufacturing automation in the Industry 4.0 model, cloud-based products, and cyber-physical and reconfigurable manufacturing systems. By providing updates on key issues and highlighting recent advances in manufacturing engineering and technologies, the book supports the transfer of vital knowledge to the next generation of academics and practitioners. Further, it will appeal to anyone working or conducting research in this rapidly evolving field.
Factories of the Future
This book is open access under a CC BY 4.0 license.This book presents results relevant in the manufacturing research field, that are mainly aimed at closing the gap between the academic investigation and the industrial application, in collaboration with manufacturing companies. Several hardware and software prototypes represent the key outcome of the scientific contributions that can be grouped into five main areas, representing different perspectives of the factory domain:1) Evolutionary and reconfigurable factories to cope with dynamic production contexts characterized by evolving demand and technologies, products and processes.2) Factories for sustainable production, asking for energy eff...
An Assessment of the National Institute of Standards and Technology Manufacturing Engineering Laboratory
The mission of the Manufacturing Engineering Laboratory (MEL) of the National Institute of Standards and Technology (NIST) is to promote innovation and the competitiveness of U.S. manufacturing through measurement science, measurement services, and critical technical contributions to standards. The MEL is organized in five divisions: Intelligent Systems, Manufacturing Metrology, Manufacturing Systems Integration, Precision Engineering, and Fabrication Technology. A panel of experts appointed by the National Research Council (NRC) assessed the first four divisions.
Organizing the Extended Enterprise
For many years production management has no longer been confined to individual production facilities. Intensive cooperation with suppliers has become an integral part of production management. In recent years two further developments have gained ground. On the one hand enterprises have been specialising and concentrating on their core competencies with outsourcing as a consequence, on the other hand globalization has intensified the range of choice among suppliers. Increased dependence on suppliers called for new forms of cooperative ventures. Strategic and legal issues had to be considered and production management had to include sophisticated logistic chain management. These developments h...
Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling
The production control of flexible manufacturing systems is a relevant component that must go along with the requirements of being flexible in terms of new product variants, new machine skills and reaction to unforeseen events during runtime. This work focuses on developing a reactive job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation.
