Information Logistics for Organizational Empowerment and Effective Supply Chain Management delves into the profound impact of information technology on modern businesses and supply chains. As the world becomes increasingly reliant on the virtuous triangle of the Internet of Things (IoT), big data, and artificial intelligence (AI), industries face both challenges and opportunities. This book explores the multifaceted effects of information logistics on supply chain performance, considering various dimensions and key indicators. With a focus on empowering supply chains, the book uncovers procedures and tools that can enhance the intelligence, security, flexibility, agility, and efficiency of logistics systems. By understanding the interplay between traditional logistics and the information space, readers gain valuable insights into building seamless, intelligent supply chains for the contemporary world. Ideal for students, researchers, and graduates in industrial engineering, industrial management, economics, mathematics, and related fields, this book offers a comprehensive resource for understanding and implementing smart supply chain practices. Professionals working in diverse industries such as food, arbitration, agriculture, electronics, and more will find practical applications and solutions for improving logistics processes. Additionally, individuals with an interest in smart supply chains and the evolving landscape of information logistics will find this book a valuable reference.

"This book examines the dimensions, components, and key indicators of logistics and smart supply chains. Our goal in this book is to empower supply chains by identifying the procedures and tools that can help make logistics smarter in today's world. We will also show what capabilities the information space adds to traditional logistics systems in today's world. A correct understanding of all the influencing components can create new and powerful solutions to improve processes in the logistics industry"--

In an era dominated by technology, our world is experiencing a radical transformation through the relentless expansion of industrial generations. The advent of the fourth industrial generation unleashed transformative technologies that revolutionized businesses, enabling access to unprecedented data and analytical capabilities. As we transition into the fifth industrial generation, concepts like sustainability, resilience, and value take center stage, laying the foundation for what is now known as Industry 6.0. In this landscape, processes are intelligently managed without human intervention, and artificial intelligence burgeons, promising a future where calculations and analyses occur at unprecedented speeds through quantum computing. Advanced Businesses in Industry 6.0 emerges as a comprehensive guide to decipher the intricacies of Industry 6.0. With a focus on ultra-advanced concepts, we aim to provide a roadmap for scholars and professionals, offering insights into the opportunities and challenges within this ultra-smart environment. Tailored for students and professionals alike, this book delves into essential topics such as super smart businesses, supply chain advancements, smart factories, production, procurement, information logistics, distribution, interactions, marketing, finance, agriculture, and health systems in Industry 6.0.

The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.

In the modern and data-driven business landscape, organizations face an increasingly complex challenge: how to harness the power of Artificial Intelligence (AI) and digital twin technology to stay competitive and relevant. This challenge is exacerbated by the rapid evolution of these technologies and the urgent need for businesses to adapt. AI continues to advance in areas such as language comprehension, pattern recognition, decision-making, and experiential learning, while digital twins are transforming into electronic replicas of real-world entities. Consequently, businesses grapple with the complexities of navigating this transformative convergence. Digital Twin Technology and AI Implementations in Future-Focused Businesses addresses the pressing issue of how AI and digital twin technology are altering the very fabric of business operations. It delves into the profound implications for productivity, creativity, and decision-making in organizations across diverse industries. Staying ahead of the technical curve is crucial, and this book equips readers with the knowledge and insights needed to thrive in this evolving business landscape.

The global supply chain expanded significantly in the last decades of the 20th century, especially in the automobile, food, and textile industries. This growth of the globalized business era brings both challenges and motivation for researchers and practitioners with interests in logistics and supply chain management. Logistics and Supply Chain Management in the Globalized Business Era provides an introduction as well as up-to-date information in the logistics and supply chain management fields. The book focuses on applying theory to practices and provides both quantitative and qualitative methods for decision makers; additionally, it details current information regarding digitalization, information technology, and optimization techniques. It is ideal for supply chain managers, executives, operations managers, business owners, suppliers, researchers, postgraduate students, laypersons, researchers, and professionals.

SCM is one of the hottest topics in manufacturing and distribution, and like JIT and TQC it requires a corporate commitment. This book provides both fundamental principles of SCM as well as a set of guidelines to assist in practical application of SCM. It will be one of the first books on the market that deals exclusively with SCM and its application. Readers in the academic, management sciences, sales, marketing and government environments will find this book of particular interest.