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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Wiley | Boston, MA : Safari
    ISBN: 9781119513896
    Language: English
    Pages: 1 online resource (656 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: An up-to-date guide for using massive amounts of data and novel technologies to design, build, and maintain better systems engineering Systems Engineering in the Fourth Industrial Revolution: Big Data, Novel Technologies, and Modern Systems Engineering offers a guide to the recent changes in systems engineering prompted by the current challenging and innovative industrial environment called the Fourth Industrial Revolution—INDUSTRY 4.0. This book contains advanced models, innovative practices, and state-of-the-art research findings on systems engineering. The contributors, an international panel of experts on the topic, explore the key elements in systems engineering that have shifted towards data collection and analytics, available and used in the design and development of systems and also in the later life-cycle stages of use and retirement. The contributors address the issues in a system in which the system involves data in its operation, contrasting with earlier approaches in which data, models, and algorithms were less involved in the function of the system. The book covers a wide range of topics including five systems engineering domains: systems engineering and systems thinking; systems software and process engineering; the digital factory; reliability and maintainability modeling and analytics; and organizational aspects of systems engineering. This important resource: Presents new and advanced approaches, methodologies, and tools for designing, testing, deploying, and maintaining advanced complex systems Explores effective evidence-based risk management practices Describes an integrated approach to safety, reliability, and cyber security based on system theory Discusses entrepreneurship as a multidisciplinary system Emphasizes technical merits of systems engineering concepts by providing technical models Written for systems engineers, Systems Engineering in the Fourth Industrial Revolution offers an up-to-date resource that contains the best practices and most recent research on the topic of systems engineering.
    Note: Online resource; Title from title page (viewed December 24, 2019) , Mode of access: World Wide Web.
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Auerbach Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (435 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Process Improvement and CMMI for Systems and Software provides a workable approach for achieving cost-effective process improvements for systems and software. Focusing on planning, implementation, and management in system and software processes, it supplies a brief overview of basic strategic planning models and covers fundamental concepts and appr
    Note: Online resource; Title from title page (viewed March 9, 2010)
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  • 3
    Language: English
    Pages: 1 online resource (xiv, 500 p.) , ill.
    Series Statement: Statistics in practice
    Parallel Title: Erscheint auch als
    Keywords: Consumer satisfaction ; Research ; Statistical methods ; Consumer satisfaction ; Evaluation ; Consumers ; Research ; Statistical methods ; Consumers ; Research ; Data processing ; Sampling (Statistics) ; Evaluation ; Surveys ; Statistical methods ; Surveys ; Data processing ; Application software ; R (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Customer survey studies deals with customers, consumers and user satisfaction from a product or service. In practice, many of the customer surveys conducted by business and industry are analyzed in a very simple way, without using models or statistical methods. Typical reports include descriptive statistics and basic graphical displays. As demonstrated in this book, integrating such basic analysis with more advanced tools, provides insights on non-obvious patterns and important relationships between the survey variables. This knowledge can significantly affect the conclusions derived from a survey. Key features: Provides an integrated, case-studies based approach to analysing customer survey data. Presents a general introduction to customer surveys, within an organization's business cycle. Contains classical techniques with modern and non standard tools. Focuses on probabilistic techniques from the area of statistics/data analysis and covers all major recent developments. Accompanied by a supporting website containing datasets and R scripts. Customer survey specialists, quality managers and market researchers will benefit from this book as well as specialists in marketing, data mining and business intelligence fields.
    Note: Includes bibliographical references and index. - Description based on print version record
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