Supply Chain Management in Manufacturing and Service Systems : Advanced Analytics for Smarter Decisions
Language: English
Published by Springer, 2022
Series: Book 297 of 323 - International Series in Operations Research & Management Science
- Softcover
- Used
Seller: Buchpark, Trebbin, GermanyBuchpark
AbeBooks seller since September 30, 2021
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Add to basketItem description from seller
Zustand: Gut | Seiten: 296 | Sprache: Englisch | Produktart: Bücher | 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.…
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- Title
- Supply Chain Management in Manufacturing and Service Systems : Advanced Analytics for Smarter Decisions
- Author
- Unbekannt
- Publisher
- Springer
- Publication year
- 2022
- Condition
- Gut
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3030692671
- ISBN 13
- 9783030692674
- Series
- Book 297 of 323: International Series in Operations Research & Management Science
- Seller catalogs
- Bücher
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.
"Synopsis" may belong to another edition of this title.
About the Author
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).
"About the title" may belong to another edition of this title.
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