Industrial revolutions have impacted both, manufacturing and service. From the steam engine to digital automated production, the industrial revolutions have conduced significant changes in operations and supply chain management (SCM) processes. Swift changes in manufacturing and service systems have led to phenomenal improvements in productivity. The fast-paced environment brings new challenges and opportunities for the companies that are associated with the adaptation to the new concepts such as Internet of Things (IoT) and Cyber Physical Systems, artificial intelligence (AI), robotics, cyber security, data analytics, block chain and cloud technology. These emerging technologies facilitated and expedited the birth of Logistics 4.0. Industrial Revolution 4.0 initiatives in SCM has attracted stakeholders’ attentions due to it is ability to empower using a set of technologies together that helps to execute more efficient production and distribution systems. This initiative has been called Logistics 4.0 of the fourth Industrial Revolution in SCM due to its high potential. Connecting entities, machines, physical items and enterprise resources to each other by using sensors, devices and the internet along the supply chains are the main attributes of Logistics 4.0. IoT enables customers to make more suitable and valuable decisions due to the data-driven structure of the Industry 4.0 paradigm. Besides that, the system’s ability of gathering and analyzing information about the environment at any given time and adapting itself to the rapid changes add significant value to the SCM processes.
In this peer-reviewed book, experts from all over the world, in the field present a conceptual framework for Logistics 4.0 and provide examples for usage of Industry 4.0 tools in SCM. This book is a work that will be beneficial for both practitioners and students and academicians, as it covers the theoretical framework, on the one hand, and includes examples of practice and real world.
Preface
Section 1 : Introduction and Conceptual Framework
Chapter 1 : A Conceptual Framework for Industry 4.0 (How Is It Started, How Is It Evolving Over Time?) Chapter 2 : Logistics 4.0 : Changing Patterns of Logistics in Industry 4.0 and Role of Digital Transformation in SCM
Section 2 : Internet of Things and Cyber-Physical Systems in SCM
Chapter 3 : The Internet of Things in Supply Chain Management Chapter 4 : The Impact of Internet of Things on Supply Chain 4.0 : A Review and Bibliometric Analysis Chapter 5 : The New Challenge of Industry 4.0 : Sustainable Supply Chain Network Design with Internet of Things
Section 3 : Fuzzy Decision Making in SCM
Chapter 6 : Fuzzy Logic and Fuzzy Decision Making in SCM : Fuzzy Multi Criteria Decision Making for Supplier Selection
Section 4 : Machine Learning in SCM
Chapter 7 : Supplier Selection with Machine Learning Algorithms Chapter 8 : Deep Learning for Prediction of Bus Arrival Time in Public Transportation
Section 5 : Augmented Reality in SCM
Chapter 9 : Augmented Reality in Supply Chain Management
Section 6 : Blockchain in SCM : The Impact of Block Chain Technology for SCM- Potentials, Promises, and Future Directions
Chapter 10 : Blockchain Driven Supply Chain Management : The Application Potential of Blockchain Technology in Supply Chain and Logistics
Section 7 : Ai, Robotics and Autonomous Systems in SCM
Chapter 11 : Artificial Intelligence, Robotics and Autonomous Systems in SCM
Section 8 : Smart Factories : Transformation of Production and Inventory Management
Chapter 12 : Smart Factories : Integrated Disassembly Line Balancing and Routing Problem with 3d Printers Chapter 13 : Enterprise Resource Planning in The Age of Industry 4.0 : A General Overview Chapter 14 : Smart Warehouses in Logistics 4.0
Section 9 : Smart Operations Management
Chapter 15 : Comparison of Integrated and Sequential Decisions on Production and Distribution Activities : New Mathematical Models Chapter 16 : Profit Oriented Balancing of Parallel Disassembly Lines with Processing Alternatives in The Age of 4.0
Section 10 : Maturity Models and Analysis for Industry 4.0 and Logistics 4.0
Chapter 17 : A Study of Maturity Model for Assessing The Logistics 4.0 Transformation Level of Industrial Enterprises : Literature Review and A Draft Model Proposal
Section 11 : Smart and Sustainable/Green SCM
Chapter 18 : Smart and Sustainable Supply Chain Management in Industry 4.0 Chapter 19 : A Content Analysis for Sustainable Supply Chain Management Based on Industry 4.0 Chapter 20 : A New Collecting and Management Proposal Under Logistics 4.0 and Green Concept
Section 12 : Management of Digital Transformation in SCM
Chapter 21 : The Roles of Human 4.0 in The Industry 4.0 Phenomenon Chapter 22 : Lean Manufacturing and Industry 4.0 : A Framework to Integrate The Two Paradigms
