Management of supply chains has been evolving rapidly over the last few years due to the inception of Industry 4.0, where businesses adopt automation technologies and data exchanges leading to dynamic and interconnected supply chain systems. Emphasizing on analytical approaches such as predictive and prescriptive modeling, this book presents state-of-the-art original research work dealing with advanced analytical models for the design, planning, and operation of the supply chain to provide faster and smarter decisions in the era of digitization.
In particular, the book integrates machine learning and operations research models for faster and smarter decisions, presents prescriptive analytics models for strategic, tactical, and operational decision making in the supply chain, and addresses recent challenges such as sustainability in the supply chain, supply chain visibility, and supply chain digitalization. Key concepts are illustrated using real-life case studies, making thebook a valuable reference for researchers, technical professionals, and students.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dr. Sharan Srinivas is an Assistant Professor with a joint appointment in the Department of Industrial & Manufacturing Systems Engineering and the Department of Marketing at the University of Missouri. Dr. Srinivas received his Ph.D. in industrial engineering and operations research from Pennsylvania State University. He holds a Bachelor's degree in industrial engineering from College of Engineering, Guindy, Anna University, India, a MS in industrial and systems engineering from Binghamton University, State University of New York (SUNY), and a MEng. in industrial engineering and operations research from the Pennsylvania State University.
Dr. Srinivas' area of specialization is data analytics and operations research with research interests in healthcare operations management, logistics, smart service systems, and supply chain. He has been an investigator on industry-based research projects. He has published over 20 scholarly articles in journals and his research work hasappeared in leading journals such as Computers and Industrial Engineering, Expert Systems with Applications, Transportation Research Part C: Emerging Technologies, Transportation Research Part E: Logistics and Transportation Review, International Journal of Medical Informatics. Dr. Srinivas has taught undergraduate, graduate, and MBA level courses that include topics pertaining to data analytics, machine learning, simulation, service systems, and supply chain optimization. He is also an active member of INFORMS and IISE professional societies, and has served numerous times as a session chair in their annual conferences. Dr. Srinivas is a certified six sigma black belt and recipient of multiple awards (INFORMS Koopman prize, Winemiller Excellence Award, Richard Wallace Faculty Grant, Penn State Doctoral Fellowship, Service Enterprise Engineering Fellowship).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides advanced analytical solutions for managing supply chain in the era of Industry 4.0Integrates machine learning and operations research models for faster and smarter decisionsIllustrates key concepts usin. N° de réf. du vendeur 458552677
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Management of supply chains has been evolving rapidly over the last few years due to the inception of Industry 4.0, where businesses adopt automation technologies and data exchanges leading to dynamic and interconnected supply chain systems. Emphasizing on analytical approaches such as predictive and prescriptive modeling, this book presents state-of-the-art original research work dealing with advanced analytical models for the design, planning, and operation of the supply chain to provide faster and smarter decisions in the era of digitization.In particular, the book integrates machine learning and operations research models for faster and smarter decisions, presents prescriptive analytics models for strategic, tactical, and operational decision making in the supply chain, and addresses recent challenges such as sustainability in the supply chain, supply chain visibility, and supply chain digitalization. Key concepts are illustrated using real-life case studies, making thebook a valuable reference for researchers, technical professionals, and students. 296 pp. Englisch. N° de réf. du vendeur 9783030692643
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Management of supply chains has been evolving rapidly over the last few years due to the inception of Industry 4.0, where businesses adopt automation technologies and data exchanges leading to dynamic and interconnected supply chain systems. Emphasizing on analytical approaches such as predictive and prescriptive modeling, this book presents state-of-the-art original research work dealing with advanced analytical models for the design, planning, and operation of the supply chain to provide faster and smarter decisions in the era of digitization.In particular, the book integrates machine learning and operations research models for faster and smarter decisions, presents prescriptive analytics models for strategic, tactical, and operational decision making in the supply chain, and addresses recent challenges such as sustainability in the supply chain, supply chain visibility, and supply chain digitalization. Key concepts are illustrated using real-life case studies, making thebook a valuable reference for researchers, technical professionals, and students.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 296 pp. Englisch. N° de réf. du vendeur 9783030692643
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Management of supply chains has been evolving rapidly over the last few years due to the inception of Industry 4.0, where businesses adopt automation technologies and data exchanges leading to dynamic and interconnected supply chain systems. Emphasizing on analytical approaches such as predictive and prescriptive modeling, this book presents state-of-the-art original research work dealing with advanced analytical models for the design, planning, and operation of the supply chain to provide faster and smarter decisions in the era of digitization.In particular, the book integrates machine learning and operations research models for faster and smarter decisions, presents prescriptive analytics models for strategic, tactical, and operational decision making in the supply chain, and addresses recent challenges such as sustainability in the supply chain, supply chain visibility, and supply chain digitalization. Key concepts are illustrated using real-life case studies, making thebook a valuable reference for researchers, technical professionals, and students. N° de réf. du vendeur 9783030692643
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