The Digital Transformation of Supply Chain Management offers a roadmap to all areas of supply chain management, with the idea of ecosystem as a center of gravity. The book describes the impact of Internet-driven global information and communication systems in enhancing supply chain management processes. It analyzes six building blocks of supply chain management, including consumer focus and demand, resource and capacity management, procurement and purchasing, inventory management, operation management, and distribution management. The book concludes by presenting the principal innovative solutions available now, or in the future, for managing and increasing the efficiency of supply chains. As supply chains are evolving toward an ecosystem that incorporates a wide range of digital technologies such as the cloud, big data, the Industrial Internet of Services, 3D printing, augmented and virtual reality, blockchain, artificial intelligence, machine learning, and many more, this book is an ideal resource. - Provides balanced, state-of-the-art coverage on emerging technological innovations and their applications - Includes numerous case studies that offer different perspectives on the integration of technologies in the supply chain - Describes the impact of Internet-driven global information and communication systems in enhancing supply chain management processes

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.

This book unravels the complexities of supply chain process transformation by explaining step by step, in simple terms, what are the requirements for success, right from the basics to how to implement this complicated task. The book provides insights into how to lead the transformation project and how to manage the change internally and externally. The authors' hands-on experience in the field via applied research is clearly illustrated in the case studies, which provide the reader with practical examples of the challenges and benefits of implementing a digital supply chain transformation project. This is a must-have book for all supply chain and operations professionals.Related Link(s)

Currently, available technologies can help make a supply chain resilient in volatile times whilst also keeping it responsible. Environmentally Responsible Supply Chains in an Era of Digital Transformation focuses on the linkages between digital technologies and environmental sustainability research and outlines synergies for more resilient, efficient and transparent supply chain management practices.

This thesis aims to add knowledge that contributes to answering the question of how digital transformation technologies can contribute to increasing customer value in logistics and supply chain management (L&SCM), and how manufacturing companies can mindfully use them. The output of the thesis is an architectural framework that proposes performance components, approaches and methodologies that can help in capturing this customer value. To build the basis for such a framework, this research first deduces and presents the underlying definition of digital transformation and describes its potential for, as well as current barriers for its application in, L&SCM. The study uses a systematic literature review to identify nine underlying digital transformation technology bundles. These are: auto-identification technologies; information and communication technologies; the cloud; cyber physical systems; analytics; distributed ledger; automation technologies; augmented and virtual reality; and additive manufacturing. These technologies served as inputs for a nominal group technique workshop aiming to conceptualize the dimensions of customer value based on the technologies. The derived dimensions are information disclosure, time, product/production, service/assistance, quality, choice options, and planning. Based on these findings, this thesis presents an impact assessment for customer-based L&SCM performance. The three-plus-one customer value propositions are availability, servitization, co-creation, and cognition as enhancement. Expert interviews provide the data for the architectural framework for capturing customer value based on digital transformation technologies in L&SCM. The six dimensions covered are the customer value proposition; the value portfolio; scope of collaboration; human resource management and organization; performance management; as well as the (re-)adjusting value assessment. The main scientific contribution lies in conceptualizing the customer value for L&SCM based on digital transformation technologies whereas the architectural framework constitutes the main practical contributions. Ziel dieser Arbeit ist es, die Frage zu beantworten, wie digitale Transformationstechnologien dazu beitragen und bewusst eingesetzt werden können, um den Kundennutzen in Logistik und Supply Chain Management (L&SCM) von produzierenden Unternehmen zu erhöhen. Das Ergebnis ist ein architektonischer Rahmen, der Leistungskomponenten, Ansätze und Methoden vorschlägt, wie dieser Kundenmehrwert erfasst und umgesetzt werden kann. Um die Grundlage für das Framework zu schaffen, leitet diese Arbeit zunächst die zugrunde liegende Definition für digitale Transformation ab und beschreibt deren Potentiale sowie die aktuellen Barrieren für L&SCM. Die relevanten neun digitalen Transformationstechnologiebündel werden auf Basis einer systematischen Literaturanalyse identifiziert. Es handelt sich um Technologien zur automatischen Identifizierung, Informations- und Kommunikationstechnologien, Cloud, cyberphysikalische Systeme, Analytics, Distributed Ledger, Automatisierungstechnologien, Augmented und Virtual Reality sowie Additive Fertigung. Diese Technologien dienen als Input für einen Nominal Group Technique-Workshop, der darauf abzielt, die Dimensionen des Kundennutzens auf der Grundlage dieser Technologien zu konzeptualisieren. Die abgeleiteten Dimensionen sind Informationsverfügbarkeit, Zeit, Produkt/Produktion, Service und Assistenzsysteme, Qualität, Auswahlmöglichkeiten und Planung. Auf der Grundlage dieser Ergebnisse wird ein Einflussmodell für kundenorientierte L&SCM Leistungen vorgestellt. Die drei plus eins Kundenwertversprechen sind Verfügbarkeit, Service, Ko-Kreation und Kognition als Zusatzkomponente bzw. Erweiterung. Experteninterviews dienen als Datenbasis für das architektonische Framework zur Erfassung des Kundennutzens auf der Grundlage digitaler Transformationstechnologien in L&SCM. Die sechs abgedeckten Dimensionen sind das Kundenwertversprechen, das Wertportfolio, Kollaboration, Personalmanagement und Organisation, Leistungsmanagement sowie die Erfassung und Bewertung des Kundenwertes. Der wichtigste wissenschaftliche Beitrag liegt in der Konzeption des Kundennutzens für L&SCM auf der Grundlage digitaler Transformationstechnologien, während der wichtigste praktische Beitrag in dem architektonischen Framework zu sehen ist.

This book focuses on the impact of artificial intelligence (AI) and machine learning (ML) models on supply chain operations in industry 4.0. The chapters illustrate the AI and ML models for all functional areas of operations in SCM. The book also includes examples using ML models like handling supply-to-demand imbalances, triggering automated responses, and reinforcing customer relationships. It describes the evolution of blockchain technology coupled with the ability to automate business logic for the transparency of goods, infrastructure, products, and licenses in software. The book also includes case studies that provide a problem statement and industry overcome by applying ML and AI technologies. This book is suitable for undergraduates, postgraduates, industrial professionals, business executives, entrepreneurs, and freelancers to encourage practical learning on AI and ML algorithms in SCM 4.0. Additionally, this book will provide computer science and information system professionals with the latest technologies embedded in the corporate world.

The 2023 5th International Conference on Economic Management and Model Engineering (ICEMME 2023) was held on November 17-19, 2023 in Beijing, China. The primary objective of this conference is to facilitate the exchange of ideas and knowledge among researchers, scholars, and practitioners in the field of economic management and modeling engineering. Through presentations, discussions, and networking opportunities, participants will have the chance to explore the latest advancements, methodologies, and best practices in these areas. The conference was focused on three main themes: Enterprise Economic Management and Market Mechanism Assessment; Data Statistical Analysis and Economic Forecasting; Industrial Structure Optimization and Economic Green Development. For readers, this collection of papers offers a comprehensive insight into cutting-edge research and case studies, providing valuable information on current trends, challenges, and opportunities in economic management and modeling engineering. Readers will benefit from the diverse perspectives and innovative approaches presented in these papers, inspiring new ideas and solutions for their own research endeavors. Moreover, the positive influence of this conference extends beyond the current discussions. It is expected that the findings and recommendations shared in these proceedings will serve as a foundation for future research in the field of economic management and modeling engineering. By fostering collaboration, knowledge sharing, and academic discourse, this conference aims to contribute to the advancement of the field and stimulate further research initiatives in the years to come.

This book presents the proceedings of the 7th International Conference on Innovative Technologies in Intelligent Systems & Industrial Application (CITISIA), held in virtual mode in Kuala Lumpur, Malaysia, and Sydney, Australia on November 16-18, 2022. It showcases advances and innovations in Industry 4.0, smart society 5.0, mobile technologies, smart manufacturing, smart data fusion, hybrid intelligence, cloud computing, and digital society.

The work contains selected and thoroughly reviewed research papers of the topics Operations Management, Supply Chain Management, Digitalization, Sustainability, Transportation Management, Process Management, Risk Management, Corporate Social Responsibility and Governance. The papers reflect the current state-of-the-art in logistics and supply chain management and new ideas and technical developments are discussed.

Companies across different industries are launching technology-enabled (digital) business transformation programs to improve their strategic, tactical, and operational supply chain processes. The greatest challenges that they are facing include the lack of preparation and knowledge of the digital transformation life cycle and poorly addressing or neglecting the “people-related” aspects of them. Therefore, improvement initiatives have been short-lived or incomplete, and expected business benefits have not been achieved or materialized. Technology Optimization and Change Management for Successful Digital Supply Chains is a pivotal reference source that provides vital research on the application of digital business transformation programs to improve strategic, tactical, and operational supply chain processes. While highlighting topics such as maturity models, predictive analysis, and communication planning, this publication explores the limited literature in the field of digital supply chain optimization and business transformation, and complements it with practical and proven tactics from the industry. This book is ideally designed for program managers, engineers, students, and practitioners seeking current research on the field’s latest best practices on digital supply chain enablement.