EUR 15,21
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Fine.
Da: medimops, Berlin, Germania
EUR 5,59
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
perfect. Condizione: Acceptable condition. Contains some highlighting or writing. Ships quickly.
Condizione: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.
paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Condizione: good. Book has corner edge dings and or scratches and signs of light wear.
perfect. Condizione: As New. Paperback--no flaws.
paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
EUR 20,89
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
EUR 32,36
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread copy in mint condition.
EUR 32,45
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Brand New.
Hardback. Condizione: New. Master the demand forecasting skills you need to decide what resources to acquire, products to produce, and where and how to distribute them. For demand planners, SandOP managers, supply chain leaders, and data scientists. Demand Forecasting Best Practices is a unique step-by-step guide, demonstrating forecasting tools, metrics, and models alongside stakeholder management techniques that work in a live business environment. You will learn how to: Lead a demand planning team to improve forecasting quality while reducing workloadProperly define the objectives, granularity, and horizon of your demand planning processUse smart, value-weighted KPIs to track accuracy and biasSpot areas of your process where there is room for improvementHelp planners and stakeholders (sales, marketing, finances) add value to your processIdentify what kind of data you should be collecting, and howUtilise different types of statistical and machine learning models Follow author Nicolas Vandeput's original five-step framework for demand planning excellence and learn how to tailor it to your own company's needs. You will learn how to optimise demand planning for a more effective supply chain and will soon be delivering accurate predictions that drive major business value. About the technology Demand forecasting is vital for the success of any product supply chain. It allows companies to make better decisions about what resources to acquire, what products to produce, and where and how to distribute them. As an effective demand forecaster, you can help your organisation avoid overproduction, reduce waste, and optimise inventory levels for a real competitive advantage.
EUR 34,88
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Stadlbauer, Christina; Vandeput, Bart H M (illustratore). Unread book in perfect condition.
EUR 34,98
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Stadlbauer, Christina; Vandeput, Bart H M (illustratore).
Lingua: Inglese
Editore: Open Book Publishers 11/21/2022, 2022
ISBN 10: 1800648499 ISBN 13: 9781800648494
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Stadlbauer, Christina; Vandeput, Bart H M (illustratore). Chance Encounters: A Bioethics for a Damaged Planet. Book.
EUR 35,45
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Data Science for Supply Chain Forecasting. Book.
EUR 38,66
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Stadlbauer, Christina; Vandeput, Bart H M (illustratore).
EUR 37,92
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Inventory Optimization: Models and Simulations. Book.
EUR 38,20
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 41,12
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: British Institute at Ankara, 2024
ISBN 10: 1912090104 ISBN 13: 9781912090105
Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Very Good. Cover and edges may have some wear.
EUR 41,15
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 43,80
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. 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 forecastingfrom the basics all the way to leading-edge modelswill 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: Data Science for Supply Chain Forecasting, Second Edition, focuses on data science and machine learning and demonstrates how both are closely interlinked. It contends that a true scientific method that includes experimentation, observation and const Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 14,21
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Eigen beheer, Zoutleeuw, 1978
Da: Antiquariaat Parnassos vof, Wassenaar, Paesi Bassi
EUR 7,00
Quantità: 1 disponibili
Aggiungi al carrelloIngenaaid. Condizione: Goed. 109 pp. Z/w illustraties. Een enkel vlekje in de foto op de voorkant kaft.
Editore: Zoutleeuw : Vandeput, E., uitgever, 1986
Da: Barksdale Books, Almere, Paesi Bassi
EUR 10,00
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Good. 2nd Edition. Paperback, illustraties in z/w (waaronder foto's), losse uitvouwbare bijlage achterin (Ordonantie voor de leerlingen deze schole der stadZoutleeuw (1557)), 8vo.
EUR 48,35
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 2nd ed. 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.