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Supply Chain Management in Manufacturing and Service Systems

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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.

Availability
Inventory Code Barcode Call Number Location Status
2108000283EB0005027658.7 SupCentral Library (OPAC)Available
Detail Information
Series Title
-
Call Number
658.7 Sup
Publisher
Switzerland : Springer Cham.,
Collation
xviii, 278p.:Ill
Language
English
ISBN/ISSN
978-3-030-69265-0
Classification
658.7
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Management of Supplies
Specific Detail Info
-
Statement of Responsibility
Other version/related
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