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Design is a fundamental creative human activity. This certainly applies to the design of artefacts, the realisation of which has to meet many constraints and ever raising criteria. The world in which we live today, is enormously influenced by the human race. Over the last century, these artefacts have dramatically changed the living conditions of humans. The present wealth in very large parts of the world, depends on it. All the ideas for better and new artefacts brought forward by humans have gone through the minds of designers, who have turned them into feasible concepts and subsequently transformed them into realistic product models. The designers have been, still are, and will remain the leading 'change agents' in the physical world. Manufacturability of artefacts has always played a significant role in design. In pre industrial manufacturing, the blacksmith held the many design and realisation aspects of a product in one hand. The synthesis of the design and manufacturing aspects took, almost implicitly, place in the head of the man. All the knowledge and the skills were stored in one person. Education and training took place along the line of many years of apprenticeship. When the production volumes increased, -'assembling to measure' was no longer tolerated and production efficiency became essential - design, process planning, production planning and fabrication became separated concerns. The designers created their own world, separated from the production world. They argued that restrictions in the freedom of designing would badly influence their creativity in design.
IFIP Working Group 5.2 has organized a series of workshops extending the concept of intelligent CAD to the concept of "knowledge intensive engineering". The concept advocates that intensive life-cycle knowledge regarding products and design processes must be incorporated in the center of the CAD architecture. It focuses on the systematization and sharing of knowledge across the life-cycle stages and organizational boundaries. From Knowledge Intensive CAD to Knowledge Intensive Engineering comprises the Proceedings of the Fourth Workshop on Knowledge Intensive CAD, which was sponsored by the International Federation for Information Processing (IFIP) and held in Parma, Italy in May 2000. This workshop looked at the evolution of knowledge intensive design for the product life cycle moving towards knowledge intensive engineering. The 18 selected papers present an overview of the state-of-the-art in knowledge intensive engineering, discussing theoretical aspects and also practical systems and experiences gained in this area. An invited speaker paper is also included, discussing the role of knowledge in product and process innovation and technology for processing semantic knowledge. Main issues discussed in the book are: Architectures for knowledge intensive CAD; Tools for knowledge intensive CAD; Methodologies for knowledge intensive CAD; Implementation of knowledge intensive CAD; Applications of knowledge intensive CAD; Evolution of knowledge intensive design for the life-cycle; Formal methods. The volume is essential reading for researchers, graduate and postgraduate students, systems developers of advanced computer-aided design and manufacturing systems, and engineers involved in industrial applications.
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Decision support systems (DSS) are widely touted for their effectiveness in aiding decision making, particularly across a wide and diverse range of industries including healthcare, business, and engineering applications. The concepts, principles, and theories of enhanced decision making are essential points of research as well as the exact methods, tools, and technologies being implemented in these industries. From both a standpoint of DSS interfaces, namely the design and development of these technologies, along with the implementations, including experiences and utilization of these tools, one can get a better sense of how exactly DSS has changed the face of decision making and management in multi-industry applications. Furthermore, the evaluation of the impact of these technologies is essential in moving forward in the future. The Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering explores how decision support systems have been developed and implemented across diverse industries through perspectives on the technology, the utilizations of these tools, and from a decision management standpoint. The chapters will cover not only the interfaces, implementations, and functionality of these tools, but also the overall impacts they have had on the specific industries mentioned. This book also evaluates the effectiveness along with benefits and challenges of using DSS as well as the outlook for the future. This book is ideal for decision makers, IT consultants and specialists, software developers, design professionals, academicians, policymakers, researchers, professionals, and students interested in how DSS is being used in different industries.
In April 1991 BusinessWeek ran a cover story entitled, "I Can't Work This ?#!!@ Thing," about the difficulties many people have with consumer products, such as cell phones and VCRs. More than 15 years later, the situation is much the same-but at a very different level of scale. The disconnect between people and technology has had society-wide consequences in the large-scale system accidents from major human error, such as those at Three Mile Island and in Chernobyl. To prevent both the individually annoying and nationally significant consequences, human capabilities and needs must be considered early and throughout system design and development. One challenge for such consideration has been providing the background and data needed for the seamless integration of humans into the design process from various perspectives: human factors engineering, manpower, personnel, training, safety and health, and, in the military, habitability and survivability. This collection of development activities has come to be called human-system integration (HSI). Human-System Integration in the System Development Process reviews in detail more than 20 categories of HSI methods to provide invaluable guidance and information for system designers and developers.
.".. the 2000 ASME Design Engineering Technical Conferences (IDETC) and the Computers and Information Engineering Conference (CIE) ..." [were held in Baltimore, Maryland] -- p. iii.
In April 1991 BusinessWeek ran a cover story entitled, "I Can't Work This ?#!!@ Thing," about the difficulties many people have with consumer products, such as cell phones and VCRs. More than 15 years later, the situation is much the same-but at a very different level of scale. The disconnect between people and technology has had society-wide consequences in the large-scale system accidents from major human error, such as those at Three Mile Island and in Chernobyl. To prevent both the individually annoying and nationally significant consequences, human capabilities and needs must be considered early and throughout system design and development. One challenge for such consideration has been providing the background and data needed for the seamless integration of humans into the design process from various perspectives: human factors engineering, manpower, personnel, training, safety and health, and, in the military, habitability and survivability. This collection of development activities has come to be called human-system integration (HSI). Human-System Integration in the System Development Process reviews in detail more than 20 categories of HSI methods to provide invaluable guidance and information for system designers and developers.
Decision Support Systems: Frequently Asked Questions is the authoritative reference guide to computerized Decision Support Systems. Author Dan Power has spent almost 30 years building, studying and teaching others about computerized Decision Support Systems. Dr. Power is first and foremost a Decision Support evangelist and generalist. From his vantage point as editor of DSSResources.COM, he tracks a broad range of contemporary DSS topics. In this DSS FAQ, Dr. Power answers 83 frequently asked questions about computerized decision support systems. The FAQ covers a broad range of contemporary topics and the questions are organized into 8 chapters. DSS FAQ helps readers understand questions like: What is a DSS? What kind of DSS does Mr. X need? Does data modeling differ for a Data-Driven DSS? Is a Data Warehouse a DSS? Is tax preparation software an example of a DSS? What do I need to know about Data Warehousing/OLAP? What is a cost estimation DSS? What is a Spreadsheet-based DSS? Decision Support Systems: Frequently Asked Questions is a useful resource for IT specialists, students, professors and managers. It organizes important Ask Dan! questions (with answers) published in DSS News from 2000 through 2004.