Data Science For Supply Chain Forecasting

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Data Science for Supply Chain Forecasting

Author : Nicolas Vandeput
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110671204
Total Pages : 338 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Data Science for Supply Chain Forecasting by : Nicolas Vandeput

Download or read book Data Science for Supply Chain Forecasting written by Nicolas Vandeput and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-03-22 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using data science in order to solve a problem requires a scientific mindset more than coding skills. Data Science for Supply Chain Forecasting, Second Edition contends that a true scientific method which includes experimentation, observation, and constant questioning must be applied to supply chains to achieve excellence in demand forecasting. 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. Part I focuses on statistical "traditional" models, Part II, on machine learning, and the all-new Part III discusses demand forecasting process management. The various chapters focus on both forecast models and new concepts such as metrics, underfitting, overfitting, outliers, feature optimization, and external demand drivers. The book is replete with do-it-yourself sections with implementations provided in Python (and Excel for the statistical models) to show the readers how to apply these models themselves. This hands-on book, covering the entire range of forecasting—from the basics all the way to leading-edge models—will benefit supply chain practitioners, forecasters, and analysts looking to go the extra mile with demand forecasting. Events around the book Link to a De Gruyter Online Event in which the author Nicolas Vandeput together with Stefan de Kok, supply chain innovator and CEO of Wahupa; Spyros Makridakis, professor at the University of Nicosia and director of the Institute For the Future (IFF); and Edouard Thieuleux, founder of AbcSupplyChain, discuss the general issues and challenges of demand forecasting and provide insights into best practices (process, models) and discussing how data science and machine learning impact those forecasts. The event will be moderated by Michael Gilliland, marketing manager for SAS forecasting software: https://youtu.be/1rXjXcabW2s

Data Science for Supply Chain Forecast

Author : Nicolas Vandeput
Publisher : Independently Published
ISBN 13 : 9781730969430
Total Pages : 237 pages
Book Rating : 4.9/5 (694 download)

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Book Synopsis Data Science for Supply Chain Forecast by : Nicolas Vandeput

Download or read book Data Science for Supply Chain Forecast written by Nicolas Vandeput and published by Independently Published. This book was released on 2018-11-12 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for Supply Chain Forecast Data Science for Supply Chain Forecast is a book for practitioners focusing on data science and machine learning; it demonstrates how both are closely interlinked in order to create an advanced forecast for supply chain. As one will discover in this book, artificial intelligence (AI) & machine learning (ML) are not simply a question of coding skills. Using data science in order to solve a problem requires a scientific mindset more than coding skills. The story behind these models is one of experimentation, of observation and of constant questioning; a true scientific method must be applied to supply chain. In the data science field as well as that of the supply chain, simple questions do not come with simple answers. In order to resolve these questions, one needs to be both a scientist as well as to use the correct tools. 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. You do not need technical IT skills to start using the models of this book. You do not need a dedicated server or expensive software licenses: you solely need your own computer. You do not need a PhD in mathematics: mathematics will only be utilized as a tool to tweak and understand the models. In the majority of the cases - especially when it comes to machine learning - a deep understanding of the mathematical inner workings of a model will not be necessary in order to optimize it and understand its limitations. Reviews "In an age where analytics and machine learning are taking on larger roles in the business forecasting, Nicolas' book is perfect solution for professionals who need to combine practical supply chain experience with the mathematical and technological tools that can help us predict the future more reliably." Daniel Stanton - Author, Supply Chain Management For Dummies "Open source statistical toolkits have progressed tremendously over the last decade. Nicolas demonstrates that these toolkits are more than enough to start addressing real-world forecasting challenges as found in supply chains. Moreover, through its hands-on approach, this book is accessible to a large audience of supply chain practitioners. The supply chain of the 21st century will be data-driven and Nicolas gets it perfectly." Joannes Vermorel - CEO Lokad "This book is unique in its kind. It explains the basics of Python using basic traditional forecasting techniques and shows how machine learning is revolutionizing the forecasting domain. Nicolas has done an outstanding job explaining a technical subject in an easily accessible way. A must-read for any supply chain professional." Professor Bram Desmet - CEO Solventure "This book is before anything a practical and business-oriented "DIY" user manual to help planners move into 21st-century demand planning. The breakthrough comes from several tools and techniques available to all, and which thanks to Nicolas' precise and concrete explanations can now be implemented in real business environments by any "normal" planner. I can confirm that Nicolas' learnings are based on real-life experience and can tremendously help on improving top and bottom lines." Henri-Xavier Benoist - VP Supply Chain Bridegstone EMEA

Inventory Optimization

Author : Nicolas Vandeput
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110673991
Total Pages : 305 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Inventory Optimization by : Nicolas Vandeput

Download or read book Inventory Optimization written by Nicolas Vandeput and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-08-24 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. . . . Vandeput is at the forefront of a new and better way of doing supply chains, and thanks to a richly illustrated book, where every single situation gets its own illustrating code snippet, so could you. --Joannes Vermorel, CEO, Lokad Inventory Optimization argues that mathematical inventory models can only take us so far with supply chain management. In order to optimize inventory policies, we have to use probabilistic simulations. The book explains how to implement these models and simulations step-by-step, starting from simple deterministic ones to complex multi-echelon optimization. The first two parts of the book discuss classical mathematical models, their limitations and assumptions, and a quick but effective introduction to Python is provided. Part 3 contains more advanced models that will allow you to optimize your profits, estimate your lost sales and use advanced demand distributions. It also provides an explanation of how you can optimize a multi-echelon supply chain based on a simple—yet powerful—framework. Part 4 discusses inventory optimization thanks to simulations under custom discrete demand probability functions. Inventory managers, demand planners and academics interested in gaining cost-effective solutions will benefit from the "do-it-yourself" examples and Python programs included in each chapter. Events around the book Link to a De Gruyter Online Event in which the author Nicolas Vandeput together with Stefan de Kok, supply chain innovator and CEO of Wahupa; Koen Cobbaert, Director in the S&O Industry practice of PwC Belgium; Bram Desmet, professor of operations & supply chain at the Vlerick Business School in Ghent; and Karl-Eric Devaux, Planning Consultant, Hatmill, discuss about models for inventory optimization. The event will be moderated by Eric Wilson, Director of Thought Leadership for Institute of Business Forecasting (IBF): https://youtu.be/565fDQMJEEg

Business Forecasting

Author : Michael Gilliland
Publisher : John Wiley & Sons
ISBN 13 : 1119782473
Total Pages : 435 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Business Forecasting by : Michael Gilliland

Download or read book Business Forecasting written by Michael Gilliland and published by John Wiley & Sons. This book was released on 2021-05-11 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.

Supply Chain Analytics and Modelling

Author : Nicoleta Tipi
Publisher : Kogan Page Publishers
ISBN 13 : 0749498617
Total Pages : 329 pages
Book Rating : 4.7/5 (494 download)

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Book Synopsis Supply Chain Analytics and Modelling by : Nicoleta Tipi

Download or read book Supply Chain Analytics and Modelling written by Nicoleta Tipi and published by Kogan Page Publishers. This book was released on 2021-04-03 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intermittent Demand Forecasting

Author : John E. Boylan
Publisher : John Wiley & Sons
ISBN 13 : 1119135303
Total Pages : 403 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Intermittent Demand Forecasting by : John E. Boylan

Download or read book Intermittent Demand Forecasting written by John E. Boylan and published by John Wiley & Sons. This book was released on 2021-06-02 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTERMITTENT DEMAND FORECASTING The first text to focus on the methods and approaches of intermittent, rather than fast, demand forecasting Intermittent Demand Forecasting is for anyone who is interested in improving forecasts of intermittent demand products, and enhancing the management of inventories. Whether you are a practitioner, at the sharp end of demand planning, a software designer, a student, an academic teaching operational research or operations management courses, or a researcher in this field, we hope that the book will inspire you to rethink demand forecasting. If you do so, then you can contribute towards significant economic and environmental benefits. No prior knowledge of intermittent demand forecasting or inventory management is assumed in this book. The key formulae are accompanied by worked examples to show how they can be implemented in practice. For those wishing to understand the theory in more depth, technical notes are provided at the end of each chapter, as well as an extensive and up-to-date collection of references for further study. Software developments are reviewed, to give an appreciation of the current state of the art in commercial and open source software. “Intermittent demand forecasting may seem like a specialized area but actually is at the center of sustainability efforts to consume less and to waste less. Boylan and Syntetos have done a superb job in showing how improvements in inventory management are pivotal in achieving this. Their book covers both the theory and practice of intermittent demand forecasting and my prediction is that it will fast become the bible of the field.” —Spyros Makridakis, Professor, University of Nicosia, and Director, Institute for the Future and the Makridakis Open Forecasting Center (MOFC). “We have been able to support our clients by adopting many of the ideas discussed in this excellent book, and implementing them in our software. I am sure that these ideas will be equally helpful for other supply chain software vendors and for companies wanting to update and upgrade their capabilities in forecasting and inventory management.” —Suresh Acharya, VP, Research and Development, Blue Yonder. “As product variants proliferate and the pace of business quickens, more and more items have intermittent demand. Boylan and Syntetos have long been leaders in extending forecasting and inventory methods to accommodate this new reality. Their book gathers and clarifies decades of research in this area, and explains how practitioners can exploit this knowledge to make their operations more efficient and effective.” —Thomas R. Willemain, Professor Emeritus, Rensselaer Polytechnic Institute.

Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics

Author : Taghipour, Atour
Publisher : IGI Global
ISBN 13 : 1799838064
Total Pages : 313 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics by : Taghipour, Atour

Download or read book Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics written by Taghipour, Atour and published by IGI Global. This book was released on 2020-09-18 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a decentralized supply chain, most of the supply chain agents may not share information due to confidentiality policies, quality of information, or different system incompatibilities. Every actor holds its own set of information and attempts to maximize its objective (minimizing costs/minimizing inventory holdings) based on the available settings. Therefore, the agents control their own activities with the objective of improving their own competitiveness, which leads them to make decisions that maximize their local performance by ignoring the other agents or even the final consumer. These decisions are myopic because they do not consider the performance of all the partners to satisfy the consumer. Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics is a collection of innovative research that focuses on demand anticipation, forecasting, and order planning as well as humanitarian logistics to propose original solutions for existing problems. While highlighting topics including artificial intelligence, information sharing, and operations management, this book is ideally designed for supply chain managers, logistics personnel, business executives, management experts, operation industry professionals, academicians, researchers, and students who want to improve their understanding of supply chain coordination in order to be competitive in the new era of globalization.

Supply Chain Analytics

Author : Peter W. Robertson
Publisher : Routledge
ISBN 13 : 1000280500
Total Pages : 298 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Supply Chain Analytics by : Peter W. Robertson

Download or read book Supply Chain Analytics written by Peter W. Robertson and published by Routledge. This book was released on 2020-11-25 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Demand Prediction in Retail

Author : Maxime C. Cohen
Publisher : Springer Nature
ISBN 13 : 3030858553
Total Pages : 166 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Demand Prediction in Retail by : Maxime C. Cohen

Download or read book Demand Prediction in Retail written by Maxime C. Cohen and published by Springer Nature. This book was released on 2022-01-01 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation details to demystify how historical data can be leveraged to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture. This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy.

Inventory and Supply Chain Management with Forecast Updates

Author : Suresh P. Sethi
Publisher : Springer Science & Business Media
ISBN 13 : 0387256636
Total Pages : 302 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Inventory and Supply Chain Management with Forecast Updates by : Suresh P. Sethi

Download or read book Inventory and Supply Chain Management with Forecast Updates written by Suresh P. Sethi and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real problems are formulated into tractable mathematical models, which allow for an analysis of various approaches. Attention is focused on solutions. Provides a unified treatment of the models discussed , presents a critique of the existing results, and points out potential research directions.

Managing Operations Throughout Global Supply Chains

Author : Essila, Jean C.
Publisher : IGI Global
ISBN 13 : 1522581588
Total Pages : 358 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Managing Operations Throughout Global Supply Chains by : Essila, Jean C.

Download or read book Managing Operations Throughout Global Supply Chains written by Essila, Jean C. and published by IGI Global. This book was released on 2019-06-14 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Globalization has made both operations and supply chains more complex than ever before. Inputs are sourced from many locations all over the world to serve different needs and market segments throughout the planet, making it a global challenge that necessitates a global strategic response. Managing Operations Throughout Global Supply Chains is a crucial academic resource that discusses concepts, methodologies, and applications of emerging techniques for operations and supply chain management processes that promote cost efficiency. While highlighting topics such as global operations, resource planning, and business forecasting, this publication explores how organizations manage the procurement of all necessary resources at every stage of the production cycle from the original source to the final consumers. This book is ideally designed for researchers, academicians, practitioners, professional organizations, policymakers, and government officials.

Occupational Outlook Handbook

Author : United States. Bureau of Labor Statistics
Publisher :
ISBN 13 :
Total Pages : 740 pages
Book Rating : 4.3/5 ( download)

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Book Synopsis Occupational Outlook Handbook by : United States. Bureau of Labor Statistics

Download or read book Occupational Outlook Handbook written by United States. Bureau of Labor Statistics and published by . This book was released on 1957 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Managing Supply Chain Risk and Vulnerability

Author : Teresa Wu
Publisher : Springer Science & Business Media
ISBN 13 : 1848826346
Total Pages : 236 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Managing Supply Chain Risk and Vulnerability by : Teresa Wu

Download or read book Managing Supply Chain Risk and Vulnerability written by Teresa Wu and published by Springer Science & Business Media. This book was released on 2009-08-20 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing Supply Chain Risk and Vulnerability, a book that both practitioners and students can use to better understand and manage supply chain risk, presents topics on decision making related to supply chain risk. Leading academic researchers, as well as practitioners, have contributed chapters focusing on developing an overall understanding of risk and its relationship to supply chain performance; investigating the relationship between response time and disruption impact; assessing and prioritizing risks; and assessing supply chain resilience. Supply chain managers will find Managing Supply Chain Risk and Vulnerability a useful tool box for methods they can employ to better mitigate and manage supply chain risk. On the academic side, the book can be used to teach senior undergraduate students, as well as graduate-level students. Additionally, researchers may use the text as a reference in the area of supply chain risk and vulnerability.

Supply Chain Management Strategies and Risk Assessment in Retail Environments

Author : Kumar, Akhilesh
Publisher : IGI Global
ISBN 13 : 1522530576
Total Pages : 351 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Supply Chain Management Strategies and Risk Assessment in Retail Environments by : Kumar, Akhilesh

Download or read book Supply Chain Management Strategies and Risk Assessment in Retail Environments written by Kumar, Akhilesh and published by IGI Global. This book was released on 2017-12-15 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proper understanding and managing of project risks and uncertainties is crucial to any organization. It is paramount that all phases of project development and execution are monitored to avoid poor project results from meager economics, overspending, and reputation. Supply Chain Management Strategies and Risk Assessment in Retail Environments is a comprehensive reference source for the latest scholarly material on effectively managing risk factors and implementing the latest supply management strategies in retail environments. Featuring 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 available in the realm of retail and the flow of materials, information, and finances between companies and consumers.

Demand-Driven Forecasting

Author : Charles W. Chase
Publisher : John Wiley & Sons
ISBN 13 : 0470531010
Total Pages : 335 pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis Demand-Driven Forecasting by : Charles W. Chase

Download or read book Demand-Driven Forecasting written by Charles W. Chase and published by John Wiley & Sons. This book was released on 2009-07-23 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Demand-Driven Forecasting A Structured Approach to Forecasting "There are authors of advanced forecasting books who take an academic approach to explaining forecast modeling that focuses on the construction of arcane algorithms and mathematical proof that are not very useful for forecasting practitioners. Then, there are other authors who take a general approach to explaining demand planning, but gloss over technical content required of modern forecasters. Neither of these approaches is well-suited for helping business forecasters critically identify the best demand data sources, effectively apply appropriate statistical forecasting methods, and properly design efficient demand planning processes. In Demand-Driven Forecasting, Chase fills this void in the literature and provides the reader with concise explanations for advanced statistical methods and credible business advice for improving ways to predict demand for products and services. Whether you are an experienced professional forecasting manager, or a novice forecast analyst, you will find this book a valuable resource for your professional development." —Daniel Kiely, Senior Manager, Epidemiology, Forecasting & Analytics, Celgene Corporation "Charlie Chase has given forecasters a clear, responsible approach for ending the timeless tug of war between the need for 'forecast rigor' and the call for greater inclusion of 'client judgment.' By advancing the use of 'domain knowledge' and hypothesis testing to enrich base-case forecasts, he has empowered professional forecasters to step up and impact their companies' business results favorably and profoundly, all the while enhancing the organizational stature of forecasters broadly." —Bob Woodard, Vice President, Global Consumer and Customer Insights, Campbell Soup Company

Research Anthology on Big Data Analytics, Architectures, and Applications

Author : Information Resources Management Association
Publisher : Engineering Science Reference
ISBN 13 : 9781668436622
Total Pages : 0 pages
Book Rating : 4.4/5 (366 download)

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Book Synopsis Research Anthology on Big Data Analytics, Architectures, and Applications by : Information Resources Management Association

Download or read book Research Anthology on Big Data Analytics, Architectures, and Applications written by Information Resources Management Association and published by Engineering Science Reference. This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data Driven Supply Chain Management

Author : Nada R. Sanders
Publisher : Pearson Education
ISBN 13 : 0133762823
Total Pages : 273 pages
Book Rating : 4.1/5 (337 download)

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Book Synopsis Big Data Driven Supply Chain Management by : Nada R. Sanders

Download or read book Big Data Driven Supply Chain Management written by Nada R. Sanders and published by Pearson Education. This book was released on 2014-05-07 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.