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The 2007 winner of the Masing Book Prize sets out important Six Sigma concepts and a selection of up-to-date tools for quality improvement in industry. Six Sigma is a widely used methodology for measuring and improving an organization's operational performance through a rigorous analysis of its practices and systems. This book presents a series of papers providing a systematic 'roadmap' for implementing Six Sigma, following the DMAIC (Define, Measure, Analyse, Improve and Control) phased approach. Motivated by actual problems, the authors offer insightful solutions to some of the mo
Six sigma (Quality control standard) --- Total quality management. --- Quality management, Total --- TQM (Total quality management) --- Management --- Total quality control --- Quality control --- Standards --- Total quality management --- E-books
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This book consists of selected and peer-reviewed papers presented at 2022 4th International Conference on Big Data Engineering and Technology (BDET), held during April 22–24, 2022, in Singapore. As IT infrastructure and data management technologies have become critical assets and capabilities for today’s enterprises, this book aims to be part of the effort in contributing to their development. In particular, the BDET conference series aims to provide the much needed forum for researchers and practitioners across the world who are actively engaged in advancing research and raising awareness of the many challenges in the diverse field of big data engineering and technology to share their research outcomes and bounce ideas off their international colleagues. Over the last few years, the conference series has brought together the latest developments of novel theory in big data, algorithm and applications, emerging standards for big data, big data infrastructure, MapReduce and cloud computing, big data visualization, big data curation and management, big data semantics, scientific discovery and intelligence, which collectively form parts of the cyber-physical systems of interest. It is hoped that the book will prove useful to students, researchers, and professionals working in the field of big data engineering and applications in cyber-physical systems.
Artificial intelligence --- Engineering --- Computational intelligence. --- Data Engineering. --- Computational Intelligence. --- Data processing. --- Intelligence, Computational --- Soft computing
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This timely book discusses the recent developments in maritime logistics, an important specialized area for the global economy. It includes issues such as the recent economic crisis, port competition and development, and provides insights and trends relating to these issues. Consisting of renowned researchers worldwide, the primary objective of the book identifies some of the new problems and challenges faced and innovative solutions to address these problems.
Physical distribution --- Sea transport. Seaports --- Business logistics. --- Harbors -- Asia. --- Shipping. --- Shipping --- Business logistics --- Harbors --- Business & Economics --- Transportation Economics --- Harbours --- Ports --- Seaports --- Supply chain management --- Marine shipping --- Marine transportation --- Maritime shipping --- Ocean --- Ocean traffic --- Ocean transportation --- Sea transportation --- Shipping industry --- Water transportation --- Economic aspects --- Channels (Hydraulic engineering) --- Hydraulic structures --- Terminals (Transportation) --- Industrial management --- Logistics --- Communication and traffic --- Marine service --- Transportation --- Merchant marine --- E-books --- Anchorages (Harbors) --- Logistique (gestion) --- Asia. --- Asian and Pacific Council countries --- Eastern Hemisphere --- Eurasia
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The book presents a coherent treatment of Markov random walks and Markov additive processes together with their applications. Part I provides the foundations of these stochastic processes underpinned by a solid theoretical framework based on Semiregenerative phenomena. Part II presents some applications to queueing and storage systems.
Markov processes. --- Random walks (Mathematics) --- Queuing theory. --- Additive process (Probability theory) --- Random walk process (Mathematics) --- Walks, Random (Mathematics) --- Stochastic processes --- Analysis, Markov --- Chains, Markov --- Markoff processes --- Markov analysis --- Markov chains --- Markov models --- Models, Markov --- Processes, Markov --- Erlang traffic formula --- Queueing theory --- Theory of queues --- Waiting-line theory --- Production scheduling --- Markov processes --- Queuing theory --- Markov, Processus de --- Promenades aléatoires (Mathématiques) --- Files d'attente, Théorie des
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This book consists of selected and peer-reviewed papers presented at 2022 4th International Conference on Big Data Engineering and Technology (BDET), held during April 22-24, 2022, in Singapore. As IT infrastructure and data management technologies have become critical assets and capabilities for today's enterprises, this book aims to be part of the effort in contributing to their development. In particular, the BDET conference series aims to provide the much needed forum for researchers and practitioners across the world who are actively engaged in advancing research and raising awareness of the many challenges in the diverse field of big data engineering and technology to share their research outcomes and bounce ideas off their international colleagues. Over the last few years, the conference series has brought together the latest developments of novel theory in big data, algorithm and applications, emerging standards for big data, big data infrastructure, MapReduce and cloud computing, big data visualization, big data curation and management, big data semantics, scientific discovery and intelligence, which collectively form parts of the cyber-physical systems of interest. It is hoped that the book will prove useful to students, researchers, and professionals working in the field of big data engineering and applications in cyber-physical systems.
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