Tinglong (33 results)

Buch. Condition: Neu. Neuware -Bringing together some of the world s foremost supply-chain thinkers, this book shows how artificial intelligence (AI) is rewriting the rules of global supply chain management. It explores machine learning, computer vision, large-language models, and generative AI in action how they re used to refine demand forecasts, optimize inventories, and drive down costs while service levels soar. The book examines AI-driven demand forecasting and inventory optimization, which enhances the accuracy of predicting customer demand and managing inventory levels to reduce costs and improve service. It covers intelligent logistics and transportation management, and utilizing AI to optimize routing, scheduling, and fleet management, which leads to increased efficiency and sustainability. The discussion extends to procurement and supplier relationship management, where procurement processes are streamlined and supplier partnerships are strengthened through AI-driven analytics and decision-making tools. In turn, the book confronts the hard questions of ethics, data privacy, and algorithmic bias, equipping readers to harness AI s power responsibly and ethically across the entire supply chain.These topics are vital, as they address the pressing need for supply chains to become more agile, resilient, and responsive in today s rapidly changing global market. By exploring these areas, the book aims to provide readers with a nuanced understanding of the current landscape and future directions of AI in supply chain management. The problem this book sets out to solve is the knowledge gap between the theoretical potential of AI and its practical application within supply chains around the globe. By presenting real-world examples, case studies, and expert analyses, it offers actionable insights that can be applied to enhance operational efficiency and strategic decision-making.The book is intended for supply chain professionals, business leaders, academics, policymakers, and students seeking a better grasp of the intersection of AI and supply chain management. It serves as both a reference guide and a source of inspiration for those looking to leverage AI technologies to drive innovation and competitiveness in their organizations. 308 pp. Englisch.

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Buch. Condition: Neu. Neuware - Bringing together some of the world s foremost supply-chain thinkers, this book shows how artificial intelligence (AI) is rewriting the rules of global supply chain management. It explores machine learning, computer vision, large-language models, and generative AI in action how they re used to refine demand forecasts, optimize inventories, and drive down costs while service levels soar. The book examines AI-driven demand forecasting and inventory optimization, which enhances the accuracy of predicting customer demand and managing inventory levels to reduce costs and improve service. It covers intelligent logistics and transportation management, and utilizing AI to optimize routing, scheduling, and fleet management, which leads to increased efficiency and sustainability. The discussion extends to procurement and supplier relationship management, where procurement processes are streamlined and supplier partnerships are strengthened through AI-driven analytics and decision-making tools. In turn, the book confronts the hard questions of ethics, data privacy, and algorithmic bias, equipping readers to harness AI s power responsibly and ethically across the entire supply chain.These topics are vital, as they address the pressing need for supply chains to become more agile, resilient, and responsive in today s rapidly changing global market. By exploring these areas, the book aims to provide readers with a nuanced understanding of the current landscape and future directions of AI in supply chain management. The problem this book sets out to solve is the knowledge gap between the theoretical potential of AI and its practical application within supply chains around the globe. By presenting real-world examples, case studies, and expert analyses, it offers actionable insights that can be applied to enhance operational efficiency and strategic decision-making.The book is intended for supply chain professionals, business leaders, academics, policymakers, and students seeking a better grasp of the intersection of AI and supply chain management. It serves as both a reference guide and a source of inspiration for those looking to leverage AI technologies to drive innovation and competitiveness in their organizations.

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Hardback. Condition: New. How can analytics scholars and healthcare professionals access the most exciting and important healthcare topics and tools for the 21st century? Editors Tinglong Dai and Sridhar Tayur, aided by a team of internationally acclaimed experts, have curated this timely volume to help newcomers and seasoned researchers alike to rapidly comprehend a diverse set of thrusts and tools in this rapidly growing cross-disciplinary field. The Handbook covers a wide range of macro-, meso- and micro-level thrusts-such as market design, competing interests, global health, personalized medicine, residential care and concierge medicine, among others-and structures what has been a highly fragmented research area into a coherent scientific discipline. The handbook also provides an easy-to-comprehend introduction to five essential research tools-Markov decision process, game theory and information economics, queueing games, econometric methods, and data science-by illustrating their uses and applicability on examples from diverse healthcare settings, thus connecting tools with thrusts. The primary audience of the Handbook includes analytics scholars interested in healthcare and healthcare practitioners interested in analytics. This Handbook: Instills analytics scholars with a way of thinking that incorporates behavioral, incentive, and policy considerations in various healthcare settings. This change in perspective-a shift in gaze away from narrow, local and one-off operational improvement efforts that do not replicate, scale or remain sustainable-can lead to new knowledge and innovative solutions that healthcare has been seeking so desperately.Facilitates collaboration between healthcare experts and analytics scholar to frame and tackle their pressing concerns through appropriate modern mathematical tools designed for this very purpose. The handbook is designed to be accessible to the independent reader, and it may be used in a variety of settings, from a short lecture series on specific topics to a semester-long course.

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Condition: New. 2018. 1st Edition. Hardcover. . . . . .

Condition: New. &Uumlber den AutorTinglong Dai, PhD, is Associate Professor of Operations Management and Business Analytics at Johns Hopkins University. A recipient of numerous awards, including Johns Hopkins Discovery Award, Institute for O.

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Condition: New. 2018. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Hardback. Condition: New. How can analytics scholars and healthcare professionals access the most exciting and important healthcare topics and tools for the 21st century? Editors Tinglong Dai and Sridhar Tayur, aided by a team of internationally acclaimed experts, have curated this timely volume to help newcomers and seasoned researchers alike to rapidly comprehend a diverse set of thrusts and tools in this rapidly growing cross-disciplinary field. The Handbook covers a wide range of macro-, meso- and micro-level thrusts-such as market design, competing interests, global health, personalized medicine, residential care and concierge medicine, among others-and structures what has been a highly fragmented research area into a coherent scientific discipline. The handbook also provides an easy-to-comprehend introduction to five essential research tools-Markov decision process, game theory and information economics, queueing games, econometric methods, and data science-by illustrating their uses and applicability on examples from diverse healthcare settings, thus connecting tools with thrusts. The primary audience of the Handbook includes analytics scholars interested in healthcare and healthcare practitioners interested in analytics. This Handbook: Instills analytics scholars with a way of thinking that incorporates behavioral, incentive, and policy considerations in various healthcare settings. This change in perspective-a shift in gaze away from narrow, local and one-off operational improvement efforts that do not replicate, scale or remain sustainable-can lead to new knowledge and innovative solutions that healthcare has been seeking so desperately.Facilitates collaboration between healthcare experts and analytics scholar to frame and tackle their pressing concerns through appropriate modern mathematical tools designed for this very purpose. The handbook is designed to be accessible to the independent reader, and it may be used in a variety of settings, from a short lecture series on specific topics to a semester-long course.

Buch. Condition: Neu. Neuware - How can analytics scholars and healthcare professionals access the most exciting and important healthcare topics and tools for the 21st century.

First edition, first printing, of this early contribution to Chinese palaeography. This catalogue of logographs found on Warring States pottery is an enduringly valuable record of the evolution of one of the world's oldest languages. Now rare, copies are found in only two institutional libraries worldwide (National Library of China and Bibliothèque Nationale de France). Gu Tinglong (1904-1998) was an eminent bibliographer and librarian who served as as the director of the Yenching Library between 1933 and 1939, before becoming director of the Shanghai Public Library. During the Sino-Japanese war and the Cultural Revolution, he saved tens of thousands of books and documents from destruction. Together with Gu Jiegang, he spent several decades examining the treasure trove of early manuscripts found at Dunhuang. In the late 1980s, he was one of the Chinese bibliographers appointed to advise on the creation of an international union catalogue of Chinese rare books. Octavo. Text in Chinese. Original blue wrappers, white thread xianzhuang stitching, front wrapper with woodblock calligraphic title label. With original blue cloth folding case, woodblock title label, bone toggles. Wrappers lightly rubbed, contents clean with just a little foxing: a near-fine copy in well-preserved case, small losses to title label, cloth sunned.

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Hardcover. Condition: new. Hardcover. How can analytics scholars and healthcare professionals access the most exciting and important healthcare topics and tools for the 21st century? Editors Tinglong Dai and Sridhar Tayur, aided by a team of internationally acclaimed experts, have curated this timely volume to help newcomers and seasoned researchers alike to rapidly comprehend a diverse set of thrusts and tools in this rapidly growing cross-disciplinary field. The Handbook covers a wide range of macro-, meso- and micro-level thrustssuch as market design, competing interests, global health, personalized medicine, residential care and concierge medicine, among othersand structures what has been a highly fragmented research area into a coherent scientific discipline. The handbook also provides an easy-to-comprehend introduction to five essential research toolsMarkov decision process, game theory and information economics, queueing games, econometric methods, and data scienceby illustrating their uses and applicability on examples from diverse healthcare settings, thus connecting tools with thrusts. The primary audience of the Handbook includes analytics scholars interested in healthcare and healthcare practitioners interested in analytics. This Handbook: Instills analytics scholars with a way of thinking that incorporates behavioral, incentive, and policy considerations in various healthcare settings. This change in perspectivea shift in gaze away from narrow, local and one-off operational improvement efforts that do not replicate, scale or remain sustainablecan lead to new knowledge and innovative solutions that healthcare has been seeking so desperately.Facilitates collaboration between healthcare experts and analytics scholar to frame and tackle their pressing concerns through appropriate modern mathematical tools designed for this very purpose. The handbook is designed to be accessible to the independent reader, and it may be used in a variety of settings, from a short lecture series on specific topics to a semester-long course. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Bringing together some of the world's foremost supply-chain thinkers, this book shows how artificial intelligence (AI) is rewriting the rules of global supply chain management. It explores machine learning, computer vision, large-language models, and generative AI in action how they're used to refine demand forecasts, optimize inventories, and drive down costs while service levels soar. The book examines AI-driven demand forecasting and inventory optimization, which enhances the accuracy of predicting customer demand and managing inventory levels to reduce costs and improve service. It covers intelligent logistics and transportation management, and utilizing AI to optimize routing, scheduling, and fleet management, which leads to increased efficiency and sustainability. The discussion extends to procurement and supplier relationship management, where procurement processes are streamlined and supplier partnerships are strengthened through AI-driven analytics and decision-making tools. In turn, the book confronts the hard questions of ethics, data privacy, and algorithmic bias, equipping readers to harness AI's power responsibly and ethically across the entire supply chain.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 308 pp. Englisch.

Buch. Condition: Neu. AI in Supply Chains | Perspectives from Global Thought Leaders | Maxime C. Cohen (u. a.) | Buch | Springer Series in Supply Chain Management | x | Englisch | 2025 | Springer | EAN 9783032070531 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.