Big Data Analytics In Supply Chain Management

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Big Data Analytics in Supply Chain Management

Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü
Big Data Analytics in Supply Chain Management Book PDF

Author : Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü
Publisher : CRC Press
Page : 211 pages
File Size : 47,7 Mb
Release : 2020-12-20
Category : Computers
ISBN : 9781000326918

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Big Data Analytics in Supply Chain Management by Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü Pdf

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.

Supply Chain Management in the Big Data Era

Chan, Hing Kai,Subramanian, Nachiappan,Abdulrahman, Muhammad Dan-Asabe
Supply Chain Management in the Big Data Era Book PDF

Author : Chan, Hing Kai,Subramanian, Nachiappan,Abdulrahman, Muhammad Dan-Asabe
Publisher : IGI Global
Page : 299 pages
File Size : 49,8 Mb
Release : 2016-11-04
Category : Business & Economics
ISBN : 9781522509578

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Supply Chain Management in the Big Data Era by Chan, Hing Kai,Subramanian, Nachiappan,Abdulrahman, Muhammad Dan-Asabe Pdf

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.

Big Data Analytics in Supply Chain Management

Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü
Big Data Analytics in Supply Chain Management Book PDF

Author : Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü
Publisher : CRC Press
Page : 211 pages
File Size : 40,9 Mb
Release : 2020-12-20
Category : Computers
ISBN : 9781000326918

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Big Data Analytics in Supply Chain Management by Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü Pdf

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.

Big Data Driven Supply Chain Management

Nada R. Sanders
Big Data Driven Supply Chain Management Book PDF

Author : Nada R. Sanders
Publisher : Pearson Education
Page : 273 pages
File Size : 42,6 Mb
Release : 2014-05-07
Category : Business & Economics
ISBN : 9780133762822

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Big Data Driven Supply Chain Management by Nada R. Sanders Pdf

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.

Supply Chain Analytics

Peter W. Robertson
Supply Chain Analytics Book PDF

Author : Peter W. Robertson
Publisher : Routledge
Page : 298 pages
File Size : 55,8 Mb
Release : 2020-11-25
Category : Business & Economics
ISBN : 9781000280500

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Supply Chain Analytics by Peter W. Robertson Pdf

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.

Research Anthology on Big Data Analytics, Architectures, and Applications

Information Resources Management Association
Research Anthology on Big Data Analytics Architectures and Applications Book PDF

Author : Information Resources Management Association
Publisher : Engineering Science Reference
Page : 0 pages
File Size : 45,6 Mb
Release : 2022
Category : Big data
ISBN : 1668436620

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Research Anthology on Big Data Analytics, Architectures, and Applications by Information Resources Management Association Pdf

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Dealing with digital information richness in supply chain management

Kache, Florian
Dealing with digital information richness in supply chain management Book PDF

Author : Kache, Florian
Publisher : kassel university press GmbH
Page : 427 pages
File Size : 52,9 Mb
Release : 2015
Category : Electronic
ISBN : 9783862199266

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Dealing with digital information richness in supply chain management by Kache, Florian Pdf

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.

Logistics, Supply Chain and Financial Predictive Analytics

Kusum Deep,Madhu Jain,Said Salhi
Logistics Supply Chain and Financial Predictive Analytics Book PDF

Author : Kusum Deep,Madhu Jain,Said Salhi
Publisher : Springer
Page : 254 pages
File Size : 40,5 Mb
Release : 2018-08-06
Category : Business & Economics
ISBN : 9789811308727

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Logistics, Supply Chain and Financial Predictive Analytics by Kusum Deep,Madhu Jain,Said Salhi Pdf

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. Divided into twenty chapters, some of the contemporary topics discussed in the book are co-operative/non-cooperative supply chain models for imperfect quality items with trade-credit financing; a non-dominated sorting water cycle algorithm for the cardinality constrained portfolio problem; and determining initial, basic and feasible solutions for transportation problems by means of the “supply demand reparation method” and “continuous allocation method.” In addition, the book delves into a comparison study on exponential smoothing and the Arima model for fuel prices; optimal policy for Weibull distributed deteriorating items varying with ramp type demand rate and shortages; an inventory model with shortages and deterioration for three different demand rates; outlier labeling methods for medical data; a garbage disposal plant as a validated model of a fault-tolerant system; and the design of a “least cost ration formulation application for cattle”; a preservation technology model for deteriorating items with advertisement dependent demand and trade credit; a time series model for stock price forecasting in India; and asset pricing using capital market curves. The book offers a valuable asset for all researchers and industry practitioners working in these areas, giving them a feel for the latest developments and encouraging them to pursue further research in this direction.

Integrating Blockchain Technology Into the Circular Economy

Khan, Syed Abdul Rehman
Integrating Blockchain Technology Into the Circular Economy Book PDF

Author : Khan, Syed Abdul Rehman
Publisher : IGI Global
Page : 307 pages
File Size : 53,9 Mb
Release : 2022-03-11
Category : Business & Economics
ISBN : 9781799876441

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Integrating Blockchain Technology Into the Circular Economy by Khan, Syed Abdul Rehman Pdf

In recent decades, the industrial revolution has increased economic growth despite its immersion in global environmental issues such as climate change. Researchers emphasize the adoption of circular economy practices in global supply chains and businesses for better socio-environmental sustainability without compromising economic growth. Integrating blockchain technology into business practices could promote the circular economy as well as global environmental sustainability. Integrating Blockchain Technology Into the Circular Economy discusses the technological advancements in circular economy practices, which provide better results for both economic growth and environmental sustainability. It provides relevant theoretical frameworks and the latest empirical research findings in the applications of blockchain technology. Covering topics such as big data analytics, financial market infrastructure, and sustainable performance, this book is an essential resource for managers, operations managers, executives, manufacturers, environmentalists, researchers, industry practitioners, students and educators of higher education, and academicians.

Operations Management and Data Analytics Modelling

Lalit Kumar Awasthi,Sushendra Kumar Misra,Dilbagh Panchal,Mohit Tyagi
Operations Management and Data Analytics Modelling Book PDF

Author : Lalit Kumar Awasthi,Sushendra Kumar Misra,Dilbagh Panchal,Mohit Tyagi
Publisher : CRC Press
Page : 206 pages
File Size : 50,9 Mb
Release : 2021-12-30
Category : Technology & Engineering
ISBN : 9781000530742

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Operations Management and Data Analytics Modelling by Lalit Kumar Awasthi,Sushendra Kumar Misra,Dilbagh Panchal,Mohit Tyagi Pdf

Operations Management and Data Analytics Modelling: Economic Crises Perspective addresses real operation management problems in thrust areas like the healthcare and energy management sectors and Industry 4.0. It discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operation, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based operation management modelling and Lean Six Sigma. Features Discusses the importance of data analytics in industrial operations to improve economy Provides step-by-step implementation of operation management models to identify best practices Covers in-depth analysis using data-based operation management tools and techniques Discusses mathematical modelling for novel operation management models to solve industrial problems This book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science.

Enterprise Analytics

Thomas H. Davenport
Enterprise Analytics Book PDF

Author : Thomas H. Davenport
Publisher : FT Press
Page : 287 pages
File Size : 47,9 Mb
Release : 2012-09-13
Category : Business & Economics
ISBN : 9780133039467

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Enterprise Analytics by Thomas H. Davenport Pdf

Normal 0 false false false MicrosoftInternetExplorer4 The Definitive Guide to Enterprise-Level Analytics Strategy, Technology, Implementation, and Management Organizations are capturing exponentially larger amounts of data than ever, and now they have to figure out what to do with it. Using analytics, you can harness this data, discover hidden patterns, and use this knowledge to act meaningfully for competitive advantage. Suddenly, you can go beyond understanding “how, when, and where” events have occurred, to understand why – and use this knowledge to reshape the future. Now, analytics pioneer Tom Davenport and the world-renowned experts at the International Institute for Analytics (IIA) have brought together the latest techniques, best practices, and research on analytics in a single primer for maximizing the value of enterprise data. Enterprise Analytics is today’s definitive guide to analytics strategy, planning, organization, implementation, and usage. It covers everything from building better analytics organizations to gathering data; implementing predictive analytics to linking analysis with organizational performance. The authors offer specific insights for optimizing supply chains, online services, marketing, fraud detection, and many other business functions. They support their powerful techniques with many real-world examples, including chapter-length case studies from healthcare, retail, and financial services. Enterprise Analytics will be an invaluable resource for every business and technical professional who wants to make better data-driven decisions: operations, supply chain, and product managers; product, financial, and marketing analysts; CIOs and other IT leaders; data, web, and data warehouse specialists, and many others.

Supply Chain 4.0

Emel Aktas,Michael Bourlakis,Ioannis Minis,Vasileios Zeimpekis
Supply Chain 4 0 Book PDF

Author : Emel Aktas,Michael Bourlakis,Ioannis Minis,Vasileios Zeimpekis
Publisher : Kogan Page Publishers
Page : 313 pages
File Size : 55,6 Mb
Release : 2021-02-03
Category : Business & Economics
ISBN : 9781789660746

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Supply Chain 4.0 by Emel Aktas,Michael Bourlakis,Ioannis Minis,Vasileios Zeimpekis Pdf

Supply Chain 4.0 has introduced automation into logistics and supply chain processes, exploiting predictive analytics to better match supply with demand, optimizing operations and using the latest technologies for the last mile delivery such as drones and autonomous robots. Supply Chain 4.0 presents new methods, techniques, and information systems that support the coordination and optimization of logistics processes, reduction of operational costs as well as the emergence of entirely new services and business processes. This edited collection includes contributions from leading international researchers from academia and industry. It considers the latest technologies and operational research methods available to support smart, integrated, and sustainable logistics practices focusing on automation, big data, Internet of Things, and decision support systems for transportation and logistics. It also highlights market requirements and includes case studies of cutting-edge applications from innovators in the logistics industry.

Big Data, Big Analytics

Michael Minelli,Michele Chambers,Ambiga Dhiraj
Big Data Big Analytics Book PDF

Author : Michael Minelli,Michele Chambers,Ambiga Dhiraj
Publisher : John Wiley & Sons
Page : 230 pages
File Size : 50,7 Mb
Release : 2013-01-22
Category : Business & Economics
ISBN : 9781118147603

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Big Data, Big Analytics by Michael Minelli,Michele Chambers,Ambiga Dhiraj Pdf

Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.

Encyclopedia of Organizational Knowledge, Administration, and Technology

Khosrow-Pour D.B.A., Mehdi
Encyclopedia of Organizational Knowledge Administration and Technology Book PDF

Author : Khosrow-Pour D.B.A., Mehdi
Publisher : IGI Global
Page : 2734 pages
File Size : 45,5 Mb
Release : 2020-09-29
Category : Business & Economics
ISBN : 9781799834748

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Encyclopedia of Organizational Knowledge, Administration, and Technology by Khosrow-Pour D.B.A., Mehdi Pdf

For any organization to be successful, it must operate in such a manner that knowledge and information, human resources, and technology are continually taken into consideration and managed effectively. Business concepts are always present regardless of the field or industry – in education, government, healthcare, not-for-profit, engineering, hospitality/tourism, among others. Maintaining organizational awareness and a strategic frame of mind is critical to meeting goals, gaining competitive advantage, and ultimately ensuring sustainability. The Encyclopedia of Organizational Knowledge, Administration, and Technology is an inaugural five-volume publication that offers 193 completely new and previously unpublished articles authored by leading experts on the latest concepts, issues, challenges, innovations, and opportunities covering all aspects of modern organizations. Moreover, it is comprised of content that highlights major breakthroughs, discoveries, and authoritative research results as they pertain to all aspects of organizational growth and development including methodologies that can help companies thrive and analytical tools that assess an organization’s internal health and performance. Insights are offered in key topics such as organizational structure, strategic leadership, information technology management, and business analytics, among others. The knowledge compiled in this publication is designed for entrepreneurs, managers, executives, investors, economic analysts, computer engineers, software programmers, human resource departments, and other industry professionals seeking to understand the latest tools to emerge from this field and who are looking to incorporate them in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to business, management science, organizational development, entrepreneurship, sociology, corporate psychology, computer science, and information technology will benefit from the research compiled within this publication.

Competing on Analytics

Thomas H. Davenport,Jeanne G. Harris
Competing on Analytics Book PDF

Author : Thomas H. Davenport,Jeanne G. Harris
Publisher : Harvard Business Press
Page : 243 pages
File Size : 42,5 Mb
Release : 2007-03-06
Category : Business & Economics
ISBN : 9781422156308

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Competing on Analytics by Thomas H. Davenport,Jeanne G. Harris Pdf

You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.