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Data Science for Supply Chain Forecasting, Nicolas Vandeput


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Цена: 8359.00р.
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Автор: Nicolas Vandeput
Название:  Data Science for Supply Chain Forecasting
ISBN: 9783110671100
Издательство: Walter de Gruyter
Классификация:







ISBN-10: 3110671107
Обложка/Формат: Paperback
Страницы: 310
Вес: 0.50 кг.
Дата издания: 22.03.2021
Серия: Economics/Business/Finance
Язык: English
Издание: 2nd ed.
Иллюстрации: 105 illustrations, black and white; 55 tables, black and white
Размер: 244 x 170 x 10
Читательская аудитория: General (us: trade)
Ключевые слова: Databases,Ownership & organization of enterprises, BUSINESS & ECONOMICS / Forecasting,BUSINESS & ECONOMICS / Information Management,BUSINESS & ECONOMICS / Leadership,BUSINESS & ECONOMICS / Production & Operations Management,BUSINESS & ECONOMICS / Sales &
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Поставляется из: Германии
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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.

Check out the webinar on the book, which discusses the general issues and challenges of demand forecasting. The panelists have extensive professional experience in this area, providing insights into best practices (process, models) and discussing how data science and machine learning impact those forecasts: https: //www.youtube.com/watch?v=1rXjXcabW2s&t=2s



The LIVING Supply Chain: The Evolving Imperative o f Operating in Real Time

Автор: Robert Handfield
Название: The LIVING Supply Chain: The Evolving Imperative o f Operating in Real Time
ISBN: 1119306256 ISBN-13(EAN): 9781119306252
Издательство: Wiley
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Цена: 12347.00 р.
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Описание:

Creates a managerial compass for entering into the LIVING (Live, Intelligent, Velocity, Interactive, Networked, and Good) era of supply chain management and defines the imperative for creating Velocity and Visibility as the focal point for exploiting new digital, mobile, and cloud-based technologies

Written by well-known researchers in the field, this book addresses the changes that have occurred and are still unfolding at various organizations that are involved in building real-time supply chains. The authors draw on their experiences with multiple companies, along with references to the natural evolution of ecosystems throughout to help identify the "new rules of supply chain management." The LIVING principles associated with the rapid digitization and technology changes occurring in the global economy are discussed, along with the push to become more sustainable and responsive to customer needs. Utilizing the LIVING framework provides readers with a roadmap for transformation that explores the following questions: Live - Do you have a real-time (LIVE) view of your information?; Intelligent - Are you able to connect the essential leverage points in your network through cloud, mobile, and other mediums that provides a platform for analytics?; Velocity - Is your entire enterprise and network focused on moving assets faster than ever before in its history?; Interactive- Is there a common governance structure that defines how observations are translated into issues, monitored, validated, and translated into specific actions and responses?; Networked - Is your multi-enterprise supply chain networked in such a manner that a common and aligned view of business priorities and actions aligned with trusting relationships common to everyone?; and Good - Is your network seeking to create good by the application of transparency that can drive improved sustainability, integrity, human, and labor rights and expose fraud and counterfeit activities in your global supply chain?

In addition, this book:

  • Features emerging trends that are shaping supply chain operations worldwide as well as impacting the global business landscape
  • Covers a broad range of topics in real-time supply chains, fractal supply chains, and supply chain genome networks
  • Offers comprehensive explanations behind major developments taking place in industry and references leading companies
  • Presents the "new rules of supply chain management" that draw on those developed in the book The Serengeti Rules
  • Uniquely presents the application of real-time data in addition to discussing practical and real-world challenges such as increased disruptions in supply chains, use of big data, and increased optimization using data
  • Discusses traditional scholarly approaches along with the current phenomenon that are challenging many prescribed supply chain strategies

The LIVING Supply Chain: The Evolving Imperative of Operating in Real Time is an ideal reference for professionals and practitioners in supply management, logistics, computer science, analytics, statistics, operations research, and industrial engineering. This book can also be used as a supplement for MBA-level courses in supply chain management.

Supply Chain Risk Management

Автор: Ken Sigler, Dan Shoemaker, Anne Kohnke
Название: Supply Chain Risk Management
ISBN: 1138197335 ISBN-13(EAN): 9781138197336
Издательство: Taylor&Francis
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Цена: 10104.00 р.
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Описание: The book presents the concepts of ICT supply chain risk management from the perspective of NIST IR 800-161. It defines a complete and correct set of processes, activities, tasks and monitoring and reporting systems.

Logistics and Supply Chain Management

Автор: Patrik Jonsson
Название: Logistics and Supply Chain Management
ISBN: 0077117387 ISBN-13(EAN): 9780077117382
Издательство: McGraw-Hill
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Цена: 9779.00 р.
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Описание: Helps student understand the `game rules` goals and objectives when designing, planning and controlling efficient and effective logistics systems in supply chains. This book covers information technology, and the impact of manufacturing and product structures on logistics and supply chain systems, and the environment.

On Trend: The Business of Forecasting the Future

Автор: Powers Devon
Название: On Trend: The Business of Forecasting the Future
ISBN: 0252084691 ISBN-13(EAN): 9780252084690
Издательство: Mare Nostrum (Eurospan)
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Цена: 2502.00 р.
Наличие на складе: Нет в наличии.

Описание:

Trends have become a commodity—an element of culture in their own right and the very currency of our cultural life. Consumer culture relies on a new class of professionals who explain trends, predict trends, and in profound ways even manufacture trends. On Trend delves into one of the most powerful forces in global consumer culture. From forecasting to cool hunting to design thinking, the work done by trend professionals influences how we live, work, play, shop, and learn. Devon Powers' provocative insights open up how the business of the future kindles exciting opportunity even as its practices raise questions about an economy increasingly built on nonstop disruption and innovation. Merging industry history with vivid portraits of today's trend visionaries, Powers reveals how trends took over, what it means for cultural change, and the price all of us pay to see—and live—the future.
Modelling and Forecasting High Frequency Financial Data

Автор: Degiannakis Stavros
Название: Modelling and Forecasting High Frequency Financial Data
ISBN: 1137396482 ISBN-13(EAN): 9781137396488
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This book is an accessible practitioners guide to the most cutting-edge models used in high-frequency finance modelling, providing advanced techniques and tools for understanding market microstructure and more generally for analyzing financial markets using recent HF data.

Dynamic use of survey data and high frequency model forecasting, a

Название: Dynamic use of survey data and high frequency model forecasting, a
ISBN: 9813232366 ISBN-13(EAN): 9789813232365
Издательство: World Scientific Publishing
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Цена: 10296.00 р.
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Описание:

This volume investigates the accuracy and dynamic performance of a high-frequency forecast model for the Japanese and United States economies based on the Current Quarter Model (CQM) or High Frequency Model (HFM) developed by the late Professor Emeritus Lawrence R. Klein. It also presents a survey of recent developments in high-frequency forecasts and gives an example application of the CQM model in forecasting Gross Regional Products (GRPs).

Predictive statistics

Автор: Clarke, Bertrand S. (university Of Nebraska, Lincoln) Clarke, Jennifer L. (university Of Nebraska, Lincoln)
Название: Predictive statistics
ISBN: 1107028280 ISBN-13(EAN): 9781107028289
Издательство: Cambridge Academ
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Цена: 12514.00 р.
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Описание: Aimed at statisticians and machine learners, this retooling of statistical theory asserts that high-quality prediction should be the guiding principle of modeling and learning from data, then shows how. The fully predictive approach to statistical problems outlined embraces traditional subfields and `black box` settings, with computed examples.


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