Big Data Driven Supply Chain Management
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| Author | : Nada R. Sanders |
| Publisher | : Pearson Education |
| Total Pages | : 273 |
| Release | : 2014-05-07 |
| Genre | : Business & Economics |
| ISBN | : 0133762823 |
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.
| Author | : Nada R. Sanders |
| Publisher | : Pearson Education |
| Total Pages | : 273 |
| Release | : 2014 |
| Genre | : Business & Economics |
| ISBN | : 0133801284 |
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.
| Author | : Chan, Hing Kai |
| Publisher | : IGI Global |
| Total Pages | : 319 |
| Release | : 2016-11-04 |
| Genre | : Business & Economics |
| ISBN | : 1522509577 |
Technological advancements in recent years have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Supply Chain Management in the Big Data Era is an authoritative reference source for the latest scholarly material on the implementation of big data analytics for improved operations and supply chain processes. 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.
| Author | : Iman Rahimi |
| Publisher | : CRC Press |
| Total Pages | : 211 |
| Release | : 2020-12-20 |
| Genre | : Computers |
| ISBN | : 1000326918 |
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.
| Author | : Mahesh Chand |
| Publisher | : CRC Press |
| Total Pages | : 291 |
| Release | : 2023-11-23 |
| Genre | : Computers |
| ISBN | : 1003800998 |
This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing. "Provides solutions to solve complex supply chain management issues using artificial intelligence and data-driven technologies" Emphasizes the impact of a data-driven supply chain on quality management "Discusses applications of artificial intelligence, and data-driven technologies in the service industry, and lean manufacturing" Highlights the barriers to implementing artificial intelligence in small and medium enterprises Presents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risks The book comprehensively discusses the applications of artificial intelligence and data-driven technologies in supply chain management for diverse fields such as service industries, manufacturing industries, and healthcare. It further covers the impact of artificial intelligence and data-driven technologies in managing the FMGC supply chain. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, industrial engineering, manufacturing engineering, production engineering, and computer engineering.
| Author | : Mezghani, Karim |
| Publisher | : IGI Global |
| Total Pages | : 360 |
| Release | : 2019-01-22 |
| Genre | : Business & Economics |
| ISBN | : 1522572635 |
In order to establish and maintain a successful company in the digital age, managers are digitally transforming their organizations to include such tools as disruptive technologies and digital data to improve performance and efficiencies. As these companies continue to adopt digital technologies to improve their businesses and create new revenues and value-producing opportunities, they must also be aware of the challenges digitalization can present. Business Transformations in the Era of Digitalization is a collection of innovative research on the latest trends, business opportunities, and challenges in the digitalization of businesses. 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, professionals, consultants, entrepreneurs, and researchers.
| Author | : Peter W. Robertson |
| Publisher | : Routledge |
| Total Pages | : 298 |
| Release | : 2020-11-25 |
| Genre | : Business & Economics |
| ISBN | : 1000280500 |
Supply Chain Analytics introduces the reader to data analytics and demonstrates the value of their effective use in supply chain management. By describing the key supply chain processes through worked examples, and the descriptive, predictive and prescriptive analytic methods that can be applied to bring about improvements to those processes, the book presents a more comprehensive learning experience for the reader than has been offered previously. Key topics are addressed, including optimisation, big data, data mining and cloud computing. The author identifies four core supply chain processes – strategy, design, execution and people – to which the analytic techniques explained can be applied to ensure continuous improvement. Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the learnings designed for the chapter; worked examples illustrating how each analytic technique works, how it is applied and what to be careful of; tables, diagrams and equations to help ‘visualise’ the concepts and methods covered; chapter case studies; and end-of-chapter review questions and assignment tasks. Providing both management expertise and technical skills, which are essential to decision-makers in the supply chain, this textbook should be essential reading for advanced undergraduate and postgraduate students of supply chain analytics, supply chain leadership, and supply chain and operations management. Its practice-based and applied approach also makes it valuable for operating supply chain practitioners and those studying for professional qualifications. Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments and a test bank of exam questions.
| Author | : Abdalmuttaleb M. A. Musleh Al-Sartawi |
| Publisher | : Springer Nature |
| Total Pages | : 472 |
| Release | : 2021-05-28 |
| Genre | : Computers |
| ISBN | : 3030730573 |
This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.
| Author | : Hayden Van Der Post |
| Publisher | : Independently Published |
| Total Pages | : 0 |
| Release | : 2023-12-10 |
| Genre | : |
| ISBN | : |
Reactive Publishing Own your future with Supply Chain Analytics Dive into the world of data-driven transformation with "Supply Chain Analytics," the essential guide for professionals seeking to revolutionize their supply chain processes using the power of Python. This cutting-edge book is meticulously crafted for supply chain managers, analysts, consultants, and IT professionals who are eager to elevate their skills and stay ahead in the rapidly evolving field of supply chain management. Main Points: 1. **Comprehensive Content: ** From basic concepts to advanced analytical techniques, this book provides a thorough grounding in supply chain theory paired with practical Python applications. It serves as both a reference and a how-to guide for analyzing and improving supply chain functions. 2. **Real-World Applications: ** Illustrated with case studies and real-world examples, "Supply Chain Analytics" shows how Python can solve complex supply chain problems. Readers will learn to develop powerful models that can lead to substantial cost reductions and efficiency improvements. 3. **Hands-On Learning: ** Engage in practical exercises and interactive content that encourage hands-on learning. Each chapter includes step-by-step tutorials that guide readers through the intricacies of implementing Python programming to solve actual supply chain challenges. 4. **Latest Trends and Techniques: ** Stay current with the most recent advancements in supply chain analytics. The book covers emerging trends and how Python is used to leverage big data, predictive analytics, AI, and machine learning to optimize supply chain operations. 5. **Expert Knowledge: ** Authored by experienced professionals in both Python programming and supply chain management, the book offers expert insights that combine theoretical knowledge with practical expertise. 6. **Skill Enhancement: ** Readers will enhance their technical proficiency in Python while simultaneously gaining a deep understanding of supply chain analytics, making them invaluable assets to any organization. 7. **Network of Professionals: ** Gain access to a community of like-minded individuals and professionals who are focused on harnessing analytics to transform the supply chain industry. Target Audience: - **Supply Chain Professionals: ** Managers and executives aiming to integrate more data-driven approaches into their operations. - **Data Analysts and Scientists: ** Those who want to specialize in supply chain analytics and apply their technical skills in Python within this domain. - **IT Professionals in Supply Chain: ** IT experts who need to understand the analytic requirements of supply chains to implement effective solutions. - **Academics and Students: ** Lecturers and students in supply chain management, operations research, or data science disciplines who require a practical and current understanding of how Python can be applied in supply chains. - **Consultants and Strategists: ** Industry consultants seeking to offer the latest analytical techniques to advise firms on supply chain optimization. Embrace the power of Python for a transformative journey through the supply chain universe with "Supply Chain Analytics," and emerge as a forward-thinking, data-driven supply chain professional poised to make an impactful change. Unlock the potential of Python in supply chain-your journey to becoming a data-savvy supply chain leader starts here.
| Author | : Sanjib Biswas |
| Publisher | : |
| Total Pages | : 24 |
| Release | : 2016 |
| Genre | : |
| ISBN | : |
Advancement in information and communication technology (ICT) has given rise to explosion of data in every field of operations. Working with the enormous volume of data (or Big Data, as it is popularly known as) for extraction of useful information to support decision making is one of the sources of competitive advantage for organizations today. Enterprises are leveraging the power of analytics in formulating business strategy in every facet of their operations to mitigate business risk. Volatile global market scenario has compelled the organizations to redefine their supply chain management (SCM). In this paper, we have delineated the relevance of Big Data and its importance in managing end to end supply chains for achieving business excellence. A Big Data-centric architecture for SCM has been proposed that exploits the current state of the art technology of data management, analytics and visualization. The security and privacy requirements of a Big Data system have also been highlighted and several mechanisms have been discussed to implement these features in a real world Big Data system deployment in the context of SCM. Some future scope of work has also been pointed out.
