Big Data Analytics In Supply Chain Management
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Big Data Analytics In Supply Chain Management
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Author : Iman Rahimi
language : en
Publisher: CRC Press
Release Date : 2020-12-20
Big Data Analytics In Supply Chain Management written by Iman Rahimi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-20 with Computers categories.
In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. 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 problems.
Dealing With Digital Information Richness In Supply Chain Management
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Author : Kache, Florian
language : en
Publisher: kassel university press GmbH
Release Date : 2015
Dealing With Digital Information Richness In Supply Chain Management written by Kache, Florian and has been published by kassel university press GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Information is one of the key enablers of modern business. The ever expanding availability of digital information, however, brings with it the challenge of handling this information appropriately. While related challenges now appear in our daily lives, this is even more the case along supply chains, where a multitude of actors is involved. This doctoral thesis addresses the topic by linking theoretical rigor with practical relevance. By assessing the current state of research in supply chain management represented in literature reviews, a range of under-represented areas of research as well as potential future research directions in the field of supply chain management are identified. Focusing on one selected exemplary under-represented area of research, the thesis takes the digital business transformation perspective, portraying the value and role of digital information in a business function context. As research on the intersection of Big Data Analytics and supply chain management is still scarce, the conceptual work offers first insights into an emerging topic, both on the internal operations level and on the supply chain level. This is beneficial from a scientific as well as a managerial perspective, as a thorough understanding of the constituents of a digital ecosystem is a key ingredient for the competitiveness and overall productivity of the company and ultimately of the supply chain as a whole.
Big Data Driven Supply Chain Management
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Author : Nada R. Sanders
language : en
Publisher: Pearson Education
Release Date : 2014-05-07
Big Data Driven Supply Chain Management written by Nada R. Sanders and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-07 with Business & Economics categories.
Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery… using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. 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. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain — and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance.
Exploring Applications Of Big Data Analytics In Supply Chain Management
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Author : Truong Van Nguyen
language : en
Publisher:
Release Date : 2019
Exploring Applications Of Big Data Analytics In Supply Chain Management written by Truong Van Nguyen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Big Data Analytics
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Author : Kiran Chaudhary
language : en
Publisher: CRC Press
Release Date : 2021-12-27
Big Data Analytics written by Kiran Chaudhary and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-27 with Business & Economics categories.
Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well as future research directions. It also examines how this emerging field could be extended to performance management and decision-making. Investment in business and marketing analytics can create value through proper allocation of resources and resource orchestration process. The use of data analytics tools can be used to diagnose and improve performance. The book is divided into five parts. The first part introduces data science, big data, and data analytics. The second part focuses on applications of business analytics including: Big data analytics and algorithm Market basket analysis Anticipating consumer purchase behavior Variation in shopping patterns Big data analytics for market intelligence The third part looks at business intelligence and features an evaluation study of churn prediction models for business Intelligence. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and of consumer behavior. The book concludes with digital marketing, marketing by consumer analytics, web analytics for digital marketing, and smart retailing. This book covers the concepts, applications and research trends of marketing and business analytics with the aim of helping organizations increase profitability by improving decision-making through data analytics.
Data Analytics For Supply Chain Networks
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Author : Niamat Ullah Ibne Hossain
language : en
Publisher: Springer Nature
Release Date : 2023-06-22
Data Analytics For Supply Chain Networks written by Niamat Ullah Ibne Hossain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-22 with Business & Economics categories.
The objective of the book is to adopt the application of data analytics to enhance the sustainability and resilience of the green supply chain networks. To demonstrate the applicability and usefulness of the method, the book adopts different data analytic models and approaches against the backdrop of case studies. In summary, this book attempts to address the question of methods, tools, and techniques that can be used to create resilient, anti-fragile, reliable, and invulnerable green supply chain networks.
Optimizing Supply Chain In Industry 4 O Utilizing Ai And Big Data Analytics
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Author : Jubin Thomas
language : en
Publisher: RK Publication
Release Date : 2024-05-15
Optimizing Supply Chain In Industry 4 O Utilizing Ai And Big Data Analytics written by Jubin Thomas and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-15 with Business & Economics categories.
Optimizing Supply Chain in Industry 4.0: Utilizing AI and Big Data Analytics the transformative impact of advanced technologies on supply chain management. How AI and big data analytics revolutionize operations, enabling predictive decision-making, enhanced efficiency, and real-time adaptability. Covering key concepts, applications, and strategies, it actionable insights for leveraging these technologies to build resilient, sustainable, and agile supply chains in the era of Industry 4.0. Designed for professionals, researchers, and students, it bridges theory with practical implementation for optimizing supply chain processes in a rapidly evolving digital landscape.
Supply Chain Analytics And Modelling
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Author : Nicoleta Tipi
language : en
Publisher: Kogan Page Publishers
Release Date : 2021-04-03
Supply Chain Analytics And Modelling written by Nicoleta Tipi and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-03 with Technology & Engineering categories.
An incredible volume of data is generated at a very high speed within the supply chain and it is necessary to understand, use and effectively apply the knowledge learned from analyzing data using intelligent business models. However, practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. 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. Supply Chain Analytics and Modelling covers areas including supply chain planning, single and multi-objective optimization, demand forecasting, product allocations, end-to-end supply chain simulation, vehicle routing and scheduling models. Learning is supported by case studies of specialist software packages for each example. Readers will also be provided with a critical view on how supply chain management performance measurement systems have been developed and supported by reliable and accurate data available in the supply chain. Online resources including lecturer slides are available.
Artificial Intelligence Big Data Iot And Block Chain In Healthcare From Concepts To Applications
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Author : Yousef Farhaoui
language : en
Publisher: Springer Nature
Release Date : 2024-08-17
Artificial Intelligence Big Data Iot And Block Chain In Healthcare From Concepts To Applications written by Yousef Farhaoui and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-17 with Computers categories.
This book covers a wide range of topics related to the integration of Artificial Intelligence, Big Data, IoT, and Blockchain: From Concepts to Applications. It begins by establishing a solid foundation and introducing the concepts and principles of each technology. The subsequent chapters delve into the various applications and use cases, providing readers with real-world examples of how AI, IoT, and Blockchain can be leveraged to address key challenges in Smart Environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, Artificial Intelligence, and Smart Environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, Artificial Intelligence, and Smart Environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart cities in particular. The authors hope that this book serves as a valuable resource and guide for readers, empowering them to navigate the intricate landscape of Artificial Intelligence, IoT, and Blockchain in Smart Environments. Let the authors embark on this transformative journey together, as the authors explore the concepts and applications that hold the potential to shape the future of Smart Environments. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and Artificial Intelligence.
Digitization In Supply Chain Management Trends Challenges And Solutions
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Author : Steven Carnovale
language : en
Publisher: World Scientific
Release Date : 2024-03-15
Digitization In Supply Chain Management Trends Challenges And Solutions written by Steven Carnovale and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-15 with Business & Economics categories.
Every industry has faced the tidal wave of 'digital' that has either re-shaped or dramatically altered their modus operandi. Supporting technologies in the management information systems arena have given rise to increased end to end visibility, real time access to information, and tightly controlled monitoring of deployed assets. In many industries it is straightforward to see the impact that digital technologies have had. Finance is a great example, with cash payments becoming increasingly less and less common, and digital currencies increasing in prominence. Yet how has this impacted supply chain management? In a discipline that spans multiple industries, continents, and companies, are there examples that we can point to that explain how digital supply chains have become? Which aspects of supply chain management were transformed by the digital tidal wave, and which functions are lagging behind? This is what this volume seeks to address.Trends: what are the current trends in digital (or digitalization) supply chain management? Ideally, these trends will include all aspects of the supply chain. That is, how has the digital revolution impacted sourcing? What are the digital trends in the logistics, warehousing, and distribution industry? How has 'digital' impacted the operations and manufacturing industry? Challenges: where are the diminishing returns to digital and its inclusion in the supply chain? Are there problems related to procurement and sourcing as the digital revolution takes hold? Are logistics challenges compounded in a digital world? Is manufacturing more streamlined or are there additional complexities that need to be addressed?Solutions: Are the challenges all too overwhelming, or are there remedies that we can advance to cope with an ever increasingly digital world?