Logistics 4.0 Digital Transformation of Supply Chain Management

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.

SECTION 1: INTRODUCTION AND CONCEPTUAL FRAMEWORK. A Conceptual Framework for Industry 4.0 (How is it started, how is it evolving over time?). 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. The Internet of Things in Supply Chain Management. The Impact of Internet of Things on Supply Chain 4.0: A Review and Bibliometric Analysis. The New Challenge of Industry 4.0: Sustainable Supply Chain Network Design with Internet of Things. SECTION 3: FUZZY DECISION MAKING IN SCM. Fuzzy Logic and Fuzzy Decision Making in SCM: Fuzzy Multi Criteria Decision Making for Supplier Selection. SECTION 4: MACHINE LEARNING IN SCM. Supplier Selection with Machine Learning Algorithms. Deep Learning for Prediction of Bus Arrival Time in Public Transportation. SECTION 5: AUGMENTED REALITY IN SCM. Augmented Reality in Supply Chain Management. SECTION 6: BLOCKCHAIN IN SCM: THE IMPACT OF BLOCK CHAIN TECHNOLOGY FOR SCM- POTENTIALS, PROMISES, AND FUTURE DIRECTIONS. 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. Artificial Intelligence, Robotics and Autonomous Systems in SCM. SECTION 8: SMART FACTORIES: TRANSFORMATION OF PRODUCTION AND INVENTORY MANAGEMENT. Smart Factories: Integrated Disassembly Line Balancing and Routing Problem with 3D Printers. Enterprise Resource Planning in the Age of Industry 4.0: A General Overview. Smart Warehouses in Logistics 4.0. SECTION 9: SMART OPERATIONS MANAGEMENT. Comparison of integrated and sequential decisions on production and distribution activities: New mathematical models. 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. 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. Smart and Sustainable Supply Chain Management In Industry 4.0. A Content Analysis for Sustainable Supply Chain Management Based on Industry 4.0. A New Collecting and Management Proposal under Logistics 4.0 and Green Concept. SECTION 12: MANAGEMENT OF DIGITAL TRANSFORMATION IN SCM. The Roles of Human 4.0 in the Industry 4.0 Phenomenon. Lean Manufacturing and Industry 4.0: A framework to integrate the two paradigms.

Dr. Turan Paksoy received his B.S. degree in industrial engineering from Gazi University, M.S. degree in industrial engineering, and PhD degree in production management from Selçuk University in 2004. He received the associate’s degree in production management in 2008 from National Academic Council of Turkey. In 2015, he was promoted to full professor at Selçuk University. Dr. Paksoy currently is working as a faculty member at Konya Technical University, Department of Industrial Engineering. He attended London Kingston University as visiting professor in 2015. Dr. Paksoy also has the affiliation of founding director of KTO Karatay University Lean & Green SCM Lab. He has been honored with being chosen for "Global Sustainable Leaders" by U.S. Green Chamber of Commerce in 2018.

Dr. Cigdem Gonul Kochan earned her Ph.D. degree in Logistics and Supply Chain Management from the University of North Texas. Her research focusses on the intersection of supply chain resilience, supply chain technologies, and healthcare supply chains. Her research has been published in the International Journal of Production Economics, International Journal of Physical Distribution and Logistics Management, and International Journal of Logistics Management. She currently serves as an Assistant Professor at Northeastern Illinois University.

Dr. Sadia Samar Ali She is a professor at Dept of Industrial Engg, King Abdul-Aziz University Jeddah. She is both an academician and researcher contributing value towards working for bridging the gaps between academia and industry in the growth of nation’s young future managers by exposing them to apply Statistical Analysis on real situation. Dr. Ali is a registered guide in the area of Statistics and Management and has been mentoring aspiring scholars to polish their research methods skill. In addition to academic pursuits she takes keen interest in publications also. Dr. Ali has published more than 60 papers listed in I