Found inside – Page 54615 Key documents The most cited article is “Big data analytics in logistics and supply chain manage- ment: Certain investigations for research and ... This book includes theoretical, analytical, and empirical research, comprehensive reviews of relevant research, and case studies of effective applications in the field of SCM. In this book . . . Nicolas Vandeput hacks his way through the maze of quantitative supply chain optimizations. This book illustrates how the quantitative optimization of 21st century supply chains should be crafted and executed. . . Found inside – Page 76Rozados, I. V. and Tjahjono, B. (2014) Big data analytics in supply chain management: trends and related research. Paper Presented at the 6th International ... Found insideThis book provides a wealth of ideas for improving all aspects of the process, including the avoidance of wasted efforts that fail to improve (or even harm) forecast accuracy. Found insideThis book addresses a broad range of problems commonly encountered in the fields of financial analysis, logistics and supply chain management, such as the use of big data analytics in the banking sector. Found inside – Page 279... of big data analytics is very context-specific and shall vary from application to application 9 Big data analytics for supply chain management: A ... This book addresses a broad range of problems commonly encountered in the fields of financial analysis, logistics and supply chain management, such as the use of big data analytics in the banking sector. This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Using strategic supply chain network design, companies can achieve dramatic savings from their supply chains. In this book, we will discuss both. Is this Book for me? This book has been written for supply chain practitioners, forecasters and analysts who are looking to go the extra mile. Found insideThis book constitutes the proceedings of the Third EAI International Conference on Intelligent Transport Systems, INTSYS 2019, which was held in Braga, Portugal, in December 2019. Combined, these works cover all the bases on analytics and big data: what each term means; the ramifications of each from a technical, consumer, and management perspective; and where each can have the biggest impact on your business. Supply Chain Analytics and Modelling presents a range of business analytics models used within the supply chain to help readers develop knowledge on a variety of topics to overcome common issues. Found inside – Page 34711.1 Data Science in Supply Chain Management In the Information Age, productivity is based on not only labor and material, but also on information and ... The study's primary objective was to provide DOE project managers with a basic understanding of both the project owner's risk management role and effective oversight of those risk management activities delegated to contractors. Some don't know where to start. Others are implementing uncoordinated point solutions that deliver disappointing results. This guide presents a comprehensive five-step framework for making the most of Big Data throughout any supply chain. This guide also helps you understand the many data-mining techniques in use today. Found inside11 Application of Data Science in Supply Chain Management: Real-World Case Study in Logistics Emir Žunić University of Sarajevo, Bosnia and Herzegovina ... Found insideIncluding research on a broad range of topics such as supply chain, aquaculture, and speech recognition systems, this book is ideally designed for researchers, academicians, and practitioners seeking current research on various technology ... This second edition adds more than 45 percent extra content with four new chapters including an introduction to neural networks and the forecast value added framework. "This book focuses on reporting both quantitative research on FSCM and exploratory studies on emerging supply chain management issues in the fashion industry"--Provided by publisher. Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods presents computational intelligence methods for addressing supply chain issues. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. Providing the logic behind why supply chain management is essential, the text examines how supply chains are evolving, looks ahead to future developmen Highlighting a range of topics including business-IT alignment, cloud computing, Internet of Things (IoT), business sustainability, small and medium-sized enterprises, and digital entrepreneurship, this book is ideally designed for managers ... Highlighting emerging strategies from different industry perspectives, this book is ideally designed for managers, professionals, practitioners, and students interested in the most recent research on supply chain innovations. "This book addresses the coordination of operations planning of supply chains involves simplifying complex decision problems into a hierarchy of mutually inter-dependent decision problems. Found insideData Science Using Python and R provides exercises at the end of every chapter, totaling over 500 exercises in the book. Readers will therefore have plenty of opportunity to test their newfound data science skills and expertise. This second edition adds more than 45 percent extra content with four new chapters including an introduction to neural networks and the forecast value added framework. This book is ideally designed for researchers, academicians, practitioners, professional organizations, policymakers, and government officials. Found insideThe book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development. Found inside – Page iFeaturing coverage on relevant topics such as omni-channel retail, green supply chain, and customer loyalty, this book is geared toward academicians, researchers, and students seeking current research on the challenges and opportunities ... Found insideThe book helps you learn about the areas of business that make up a supply chain, from procurement to operations to distribution. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain ... Found insideThis book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Data Strategy is a must-have guide to creating a robust data strategy. The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today This guide teaches not only the principles of predictive analytics, but also how to apply them to ... Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal. The first collection of cases on “big data” analytics for supply chain, operations research, and operations management, this reference puts readers in the position of the analytics professional and decision-maker. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain ... Found insideThis book constitutes revised papers from the seven workshops and one accompanying event which took place at the 21st International Conference on Business Information Systems, BIS 2018, held in Berlin, Germany, in July 2018. This book focuses on the complex challenges of supply chain planning - the set of business processes that companies use for planning to meet future demand. Readers will learn how to:• Clarify the business question• Lay out a hypothesis-driven plan• Pull relevant data• Convert it to insights• Make decisions that make an impactPacked with examples and exercises, this refreshingly ... Written in a reader-friendly style, the text includes useful examples from manufacturers as well as service providers, presents the key concepts that underlie the behavior of operations systems in a largely non-mathematical way, contains ... The third essay finds that demand distortion and demand characteristics are important drivers for both signal and model selection. Found insideWith this anthology of reports from award-winning journalist Mike Barlow, you’ll appreciate how data science is fundamentally altering our world, for better and for worse. This is precisely the purpose of this book, that is, to contribute to the literature about current research and development activities related to new trends in electric vehicle power trains. Designed for researchers, academicians, practitioners, professional organizations, policymakers and. R provides exercises at the end of every chapter, totaling over 500 exercises the. – Page 76Rozados, I. V. and Tjahjono, B his way through the maze of quantitative supply chain Design. Characteristics are important drivers for both signal and model selection the fundamental principles remain same... Network Design, companies can achieve dramatic savings from their supply chains should be and. This guide presents a comprehensive five-step framework for using Big data analytics in supply.... 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