Industrial Knowledge Management

The book discusses the opportunities and challenges of managing knowledge in the new reality of Industry 4.0. Addressing paradigmatic changes in value creation due to the development of digital technologies applied to manufacturing (additive manufacturing, IoT, robotics, etc.), it includes theoretical and empirical contributions on how Industry 4.0 technologies allow firms to create and exploit knowledge. The carefully selected expert contributions highlight the potential of these technologies in acquiring knowledge from a larger number of sources and examine approaches to innovation, organization of activities, and stakeholder development in the context of this next industrial revolution.

The book presents state of the art practices and research in the area of Knowledge Capture and Reuse in industry. This book demonstrates some of the successful applications of industrial knowledge management at the micro level. The Micro Knowledge Management (MicroKM) is about capture and reuse of knowledge at the operational, shopfloor and designer level. The readers will benefit from different frameworks, concepts and industrial case studies on knowledge capture and reuse. The book contains a number of invited papers from leading practitioners in the field and a small number of selected papers from active researchers. The book starts by providing the foundation for micro knowledge management through knowledge systematisation, analysing the nature of knowledge and by evaluating verification and validation technology for knowledge based system of frameworks for knowledge capture, reuse and development. A number integration are also provided. Web based framework for knowledge capture and delivery is becoming increasingly popular. Evolutionary computing is also used to automate design knowledge capture. The book demonstrates frameworks and techniques to capture knowledge from people, data and process and reuse the knowledge using an appropriate tool in the business. Therefore, the book bridges the gap between the theory and practice. The 'theory to practice' chapter discusses about virtual communities of practice, Web based approaches, case based reasoning and ontology driven systems for the knowledge management. Just-in-time knowledge delivery and support is becoming a very important tool for real-life applications.

This shortform book presents key peer-reviewed research selected by expert series editors and contextualised by new analysis from each author on the subject of knowledge management in industrial history. With contributions on knowledge management, knowledge transfer, knowledge loss, knowledge creation, competition and co-operation in producing skilled employees, and ownership structures and their relation to knowledge management, this volume provides an array of fascinating insights into industrial history. Of interest to business and economic historians, this shortform book also provides analysis and illustrative case-studies that will be valuable reading across the social sciences.

Managing Industrial Knowledge illuminates the complex processes at work in the creation and successful transfer of corporate knowledge. It is now generally recognized that the competitive advantages of firms depends on their ability to build, utilize and protect knowledge assets. In this volume many of the foremost international authors and pioneers of the study of knowledge in firms present their latest work and insights into organizational knowledge and innovation. In a world where markets, products, technologies, competitors, regulations, and even societies change rapidly, continuous innovation and the knowledge that produces innovation have become key. The chapters in this keynote volume shed new light on the contextual factors in knowledge creation, the links between knowledge and innovation in all aspects of business life and the processes by which these may be fostered or lost in organizations.

The Pharmaceutical Industry has been undergoing a major transformation since the heady days of 'big pharma' in the 1970s and 80s. Patent expiry, the rise of generics, and the decline of the blockbuster drug have all changed the landscape over the last 10-15 years. It's an environment where products can take 10 years or more to come to market, billions are spent on research and development, jobs are being shed in the western pharma homelands and regulators and the public are more demanding than ever. So what part is Knowledge Management playing and going to play in this vital international industry? Knowledge Management (KM) has many facets from providing comprehensive knowledge bases for workers, through the sharing of advice and problem solving, to providing an environment for innovation and change. This book, focusing on research and development, and manufacturing-based companies, explores how a range of techniques and approaches have been applied in the unique environment of the Pharmaceutical Industry, and examine how it can help the industry in the 21st century. Whilst the book is centered on the Pharmaceutical Industry, its objective will be to discuss and demonstrate how Knowledge Management can be applied in a variety of environments, and with a range of cultural issues. KM practitioners, and potential practitioners, both within and outside the Pharmaceutical Industry, will be able to gain valuable guidance and advice from both the examples of good practice and the lessons learned by the authors and contributors.

Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge. Knowledge Management in the Development of Data-Intensive Systems addresses new challenges arising from knowledge management in the development of data-intensive software systems. These challenges concern requirements, architectural design, detailed design, implementation and maintenance. The book covers the current state and future directions of knowledge management in development of data-intensive software systems. The book features both academic and industrial contributions which discuss the role software engineering can play for addressing challenges that confront developing, maintaining and evolving systems;data-intensive software systems of cloud and mobile services; and the scalability requirements they imply. The book features software engineering approaches that can efficiently deal with data-intensive systems as well as applications and use cases benefiting from data-intensive systems. Providing a comprehensive reference on the notion of data-intensive systems from a technical and non-technical perspective, the book focuses uniquely on software engineering and knowledge management in the design and maintenance of data-intensive systems. The book covers constructing, deploying, and maintaining high quality software products and software engineering in and for dynamic and flexible environments. This book provides a holistic guide for those who need to understand the impact of variability on all aspects of the software life cycle. It leverages practical experience and evidence to look ahead at the challenges faced by organizations in a fast-moving world with increasingly fast-changing customer requirements and expectations.

This book examines the modules/elements required before implementing knowledge management solutions in typical manufacturing and service industry. The objective is to develop a framework, design and model suitable for all requirements and a strategy to properly implement. Related case studies from organizations are included, with the results provided to use as a solution to problems experienced when implementing knowledge management in the industry. Implementing a knowledge management system can be complex and dynamic, no matter how well planned and developed. Inevitably a degree of organizational inertia is focused on the current state rather than the new. Within an enterprise, personal and group involvement and interests process status and technology landscape can deflect the commitment needed to successfully implement such a system. Cumulative evidence from past research in knowledge management suggests that effective implementation of KM solution in any organization requires a robust designs and models for various critical elements of process, people and technology. Using the techniques provided in this book, readers should be able to design knowledge management strategies, to align objectives of the KM initiatives with their business goals.

Annotation Presents a portfolio of concepts, methods, models, and tools supported by real life case studies from various corners of the globe providing insights into the management of knowledge in the construction industry.