Supply Chain Management in Manufacturing and Service Systems: Advanced Analytics for Smarter Decisions

Management of supply chains has evolved rapidly due to Industry 4.0, adopting automation technologies and data exchanges. This book presents state-of-the-art research on advanced analytical models for the design, planning, and operation of the supply chain, integrating machine learning and operations research models for faster and smarter decisions, and addressing recent challenges such as sustainability, visibility, and digitalization.

Format: Hardback
Length: 278 pages
Publication date: 25 June 2021
Publisher: Springer Nature Switzerland AG

The management of supply chains has undergone a remarkable transformation in recent years, fueled by the advent of Industry 4.0. This transformative era has seen businesses embrace automation technologies and data exchanges, resulting in the creation of dynamic and interconnected supply chain systems. This book, dedicated to advanced analytical models for the design, planning, and operation of the supply chain, takes a forefront approach, emphasizing analytical approaches such as predictive and prescriptive modeling.

Within its pages, readers will discover a wealth of state-of-the-art original research work that delves into the realm of advanced analytical models. These models are designed to provide faster and smarter decisions in the era of digitization, enabling businesses to navigate the complexities of today's supply chain landscape with greater efficiency and effectiveness.

One of the key strengths of this book is its integration of machine learning and operations research models. By leveraging these powerful tools, the book offers insights into how businesses can make data-driven decisions that optimize their supply chain operations. Prescriptive analytics models are also presented, offering valuable guidance for strategic, tactical, and operational decision-making within the supply chain.

In addition to addressing the challenges of sustainability in the supply chain, supply chain visibility, and supply chain digitalization, the book also delves into emerging trends and technologies that are shaping the future of supply chain management. These include the use of artificial intelligence, blockchain, and the Internet of Things (IoT) to enhance supply chain efficiency, reduce costs, and improve customer satisfaction.

To make the content more accessible and engaging, real-life case studies are used throughout the book to illustrate key concepts and provide practical examples. These case studies not only help to reinforce the theoretical principles discussed but also provide a relatable context for researchers, technical professionals, and students alike.

In conclusion, this book is a valuable resource for anyone interested in advancing their understanding of supply chain management. It offers a comprehensive and up-to-date perspective on the latest analytical models, technologies, and trends, providing readers with the tools they need to succeed in the fast-paced and ever-evolving world of supply chain management. Whether you are a researcher, technical professional, or student, this book will be an indispensable guide on your journey to excellence in supply chain management.

Weight: 612g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030692643
Edition number: 1st ed. 2021