Innovation in Manufacturing Networks A fundamental concept of the emergent business, scientific and technological paradigms ces area, innovation the ability to apply new ideas to products, processes, organizational practices and business models - is crucial for the future competitiveness of organizations in a continually increasingly globalised, knowledge-intensive marketplace. Responsiveness, agility as well as the high performance of manufacturing systems is responsible for the recent changes in addition to the call for new approaches to achieve cost-effective responsiveness at all the levels of an enterprise. Moreover, creating appropriate frameworks for exploring the most effective synergies between human potential and automated systems represents an enormous challenge in terms of processes characterization, modelling, and the development of adequate support tools. The implementation and use of Automation Systems requires an ever increasing knowledge of enabling technologies and Business Practices. Moreover, the digital and networked world will surely trigger new business practices. In this context and in order to achieve the desired effective and efficiency performance levels, it is crucial to maintain a balance between both the technical aspects and the human and social aspects when developing and applying new innovations and innovative enabling technologies. BASYS conferences have been developed and organized so as to promote the development of balanced automation systems in an attempt to address the majority of the current open issues.

In Economics, networks are increasingly used to describe the many links created between independent companies, as well as between them and other institutions (universities, banks, venture capital, etc.). In the current global and knowledge-based economy, they can be characterised as knowledge factories and knowledge boosters. They feed the internal processes of innovation (collaborative innovation) or the external processes of innovation, created by the propagation effects that come from inter-firm collaboration. The book explains how innovation networks are at the origin of the production of new knowledge that will be transformed and used in common as well as in separated production processes. This characteristic of networks as knowledge factories gives incentives to further investment in the production of knowledge and ensures the cumulativeness of the innovation process. Some of the authors clearly take a territorial point of view and study how clusters (in different parts of the world: Europe, Eastern Asia and North America) propelled by the quality of the innovation networks they enclose, can be characterised as knowledge pools into which the local actors will be able to draw to reinforce their individual and collective competitiveness. This book also includes analyses of the quality of the networks built within clusters, which may help their identification.

Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology draws on the latest industry advances to provide everything needed for the effective implementation of this powerful tool. Shorter product lifecycles have increased pressure on manufacturers through the increasing variety and complexity of production, challenging their workforce to remain competitive and profitable. This has led to innovation in production network methodologies, which together with opportunities provided by new digital technologies has fed a rapid evolution of production engineering that has opened new solutions to the challenges of mass personalization and market uncertainty. In addition to the latest developments in cloud technology, reference is made to key enabling technologies, including artificial intelligence, the digital twin, big data analytics, and the internet of things (IoT) to help users integrate the cloud approach with a fully digitalized production system. Presents diverse cases that show how cloud-based technologies can be used in different ways as part of the standard operation of global production networks Provides detailed reviews of new technologies like the digital twin, big data analytics, and blockchain to provide context on the role of cloud technologies in a fully digitalized system Explores future trends for cloud technology and production engineering

The vision of the National Network for Manufacturing Innovation is U.S. global leadership in advanced manufacturing. It is a vision of a network of institutes that bring U.S. industry, academia, and government together to solve cross-sector manufacturing challenges that each sector simply cannot solve alone. Each institute is the manufacturing technology development and workforce training leader for a specific technical area. The institutes focus on transforming promising early-stage research into proven manufacturing capabilities that are ready for adoption by U.S. manufacturers. The institutes provide small, mid-sized, and large manufacturers with access to state-of-the-art facilities and equipment. In addition, each institute provides critical workforce training and skills development in these new technologies. By bringing to the table the entire supply chain associated with a particular developing technology, an innovation community emerges that will later form the basis of mature larger-scale manufacturing supply chains located within the United States. This is the first strategic plan for the National Network for Manufacturing Innovation (NNMI) Program. It describes the vision of the program and its goals. The plan identifies the methods by which these goals will be achieved, including the program's investment strategy, the mechanisms by which investments made by federal agencies will be coordinated, and the metrics by which the program will be assessed.

Innovation networks are a major source for acquiring new information and knowledge and thus for supporting innovation processes. Despite the many theoretical and empirical contributions to the explanation of networks, many questions still remain open. For example: How can networks, if they do not emerge by their own, be initiated? How can fragmentation in innovation systems be overcome? And how can networking experience from market economies be transferred to the emerging economies of Central and Eastern Europe? By presenting a selection of papers which address innovation networking from theoretical and political viewpoints, the book aims at giving answers to these questions.

This book highlights innovative solutions together with various techniques and methods that can help support the manufacturing sector to excel in economic, social, and environmental terms in networked business environments. The book also furthers understanding of sustainable manufacturing from the perspective of value creation in manufacturing networks, by capitalizing on the outcomes of the European ‘Sustainable Value Creation in Manufacturing Networks’ project. New dynamics and uncertainties in modern markets call for innovative solutions in the global manufacturing sector. While the manufacturing sector is traditionally driven by technology, it also requires other managerial and organizational solutions in terms of network governance, business models, sustainable solution development for products and services, performance management portals, etc., which can provide major competitive advantages for companies. At the same time, the manufacturing industry is subject to a change process, where business networks play a major role in value-creating processes. By far the biggest challenge in this context is making value creation a sustainable process where economic, social, and environmental demands are met. Managing product and service-related business operations in manufacturing networks thus brings different challenges that cannot purely be resolved using traditional methods, and techniques. This book is an outcome of a European project funded by the European Commission, and performed by a dedicated R&D consortium comprised of some leading Research institutions and Industrial partners.

This book offers an innovative examination of how ‘low–technology’ industries operate. Based on extensive fieldwork in India, the book fuses economic and sociological perspectives on information sharing by means of informal interaction in a low-technology cluster in a developing country. In doing so, the book sheds new light on settings where economic relations arise as emergent properties of social relations. This book examines industrial innovation and microeconomic network behaviour among producers and clusters, perceiving knowledge diffusion to be a socially-spatial, as much as a geographically spatial, phenomenon. This is achieved by employing two methods – simulation modelling, and (quantitative, qualitative, and historical) social network analysis. The simulation model, based on its findings, motivates two empirical studies – one descriptive case and one network study – of low-tech rural and semi-urban traditional technology clusters in Kerala state in southern India. These cases demonstrate two contrasting stories of how social cohesion either supports or thwarts informal information sharing and learning. This book pushes towards an economic-sociology approach to understanding knowledge diffusion and technological learning, which perceives innovation and learning as being more social processes than the mainstream view perceives them to be. In doing so, it makes a significant contribution to the literature on defensive innovation and the role of networks in technological innovation and knowledge diffusion, as well as to policy studies of Indian small firm and traditional technology clusters.