Demand Forecasting Best Practices
暫譯: 需求預測最佳實踐

Vandeput, Nicolas

Demand Forecasting Best Practices
  • 出版商: Manning
  • 出版日期: 2023-07-31
  • 售價: $1,560
  • 貴賓價: 9.5 折 $1,482
  • 語言: 英文
  • 頁數: 200
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1633438090
  • ISBN-13: 9781633438095
  • 相關分類: 大數據 Big-data、Machine Learning

    • 立即出貨 (庫存 < 3)

商品描述

Lead your demand planning process to excellence and deliver real value to your supply chain.

In Demand Forecasting Best Practices you’ll learn how to:
 

  • Lead your team to improve quality while reducing workload
  • Properly define the objectives and granularity of your demand planning
  • Use intelligent KPIs to track accuracy and bias
  • Identify areas for process improvement
  • Help planners and stakeholders add value
  • Determine relevant data to collect and how best to collect it
  • Utilize different statistical and machine learning models


An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. Demand Forecasting Best Practices teaches you how to become that virtuoso demand forecaster.

This one-of-a-kind guide reveals forecasting tools, metrics, models, and stakeholder management techniques for delivering more effective supply chains. Everything you learn has been proven and tested in a live business environment. Discover author Nicolas Vandeput’s original five step framework for demand planning excellence and learn how to tailor it to your own company’s needs. Illustrations and real-world examples make each concept easy to understand and easy to follow. You’ll soon be delivering accurate predictions that are driving major business value.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology
An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. This book teaches you how to become that virtuoso demand forecaster.

About the Book
Demand Forecasting Best Practices reveals forecasting tools, metrics, models, and stakeholder management techniques for managing your demand planning process efficiently and effectively. Everything you learn has been proven and tested in a live business environment. Discover author Nicolas Vandeput’s original five step framework for demand planning excellence and learn how to tailor it to your own company’s needs. Illustrations and real-world examples make each concept easy to understand and easy to follow. You’ll soon be delivering accurate predictions that are driving major business value.

What's Inside
 

  • Enhance forecasting quality while reducing team workload
  • Utilize intelligent KPIs to track accuracy and bias
  • Identify process areas for improvement
  • Assist stakeholders in sales, marketing, and finance
  • Optimize statistical and machine learning models

商品描述(中文翻譯)

引領您的需求規劃過程邁向卓越，為您的供應鏈帶來真正的價值。



在《需求預測最佳實踐》中，您將學習如何：

 


  • 引導您的團隊在減少工作負擔的同時提高質量

  • 正確定義需求規劃的目標和細緻程度

  • 使用智能 KPI 來追蹤準確性和偏差

  • 識別流程改進的領域

  • 幫助規劃者和利益相關者增加價值

  • 確定相關數據的收集及最佳收集方式

  • 利用不同的統計和機器學習模型



一位專業的需求預測師可以幫助組織避免過度生產、減少浪費，並優化庫存水平，以獲得真正的競爭優勢。《需求預測最佳實踐》教您如何成為那位出色的需求預測師。



這本獨特的指南揭示了預測工具、指標、模型和利益相關者管理技術，以提供更有效的供應鏈。您所學到的一切都已在實際商業環境中得到驗證和測試。發現作者 Nicolas Vandeput 原創的五步驟框架，以實現需求規劃的卓越，並學習如何根據您自己公司的需求進行調整。插圖和真實案例使每個概念易於理解和跟隨。您將很快能夠提供準確的預測，為業務帶來重大價值。



購買印刷書籍可獲得 Manning Publications 提供的免費 PDF、Kindle 和 ePub 格式電子書。



關於技術

一位專業的需求預測師可以幫助組織避免過度生產、減少浪費，並優化庫存水平，以獲得真正的競爭優勢。本書教您如何成為那位出色的需求預測師。



關於本書

《需求預測最佳實踐》揭示了預測工具、指標、模型和利益相關者管理技術，以有效且高效地管理您的需求規劃過程。您所學到的一切都已在實際商業環境中得到驗證和測試。發現作者 Nicolas Vandeput 原創的五步驟框架，以實現需求規劃的卓越，並學習如何根據您自己公司的需求進行調整。插圖和真實案例使每個概念易於理解和跟隨。您將很快能夠提供準確的預測，為業務帶來重大價值。



內容概覽

 


  • 提高預測質量，同時減少團隊工作負擔

  • 利用智能 KPI 來追蹤準確性和偏差

  • 識別流程改進的領域

  • 協助銷售、行銷和財務的利益相關者

  • 優化統計和機器學習模型

目錄大綱

Part 1 - Forecasting demand
1 Demand forecasting excellence
2 Introduction to demand forecasting
3 Capturing unconstrained demand (and not sales)
4 Collaboration: data sharing and planning alignment
5 Forecasting hierarchies
6 How long should the forecasting horizon be?
7 Should we reconcile forecasts to align supply chains?
Part 2 - Measuring forecasting quality
8 Forecasting metrics
9 Choosing the best forecasting KPI
10 What is a good forecast error?
11 Measuring forecasting accuracy on a product portfolio
Part 3 - Data-driven forecasting process
12 Forecast value added
13 What do you review? ABC XYZ segmentations and other methods
Part 4 - Forecasting methods
14 Statistical forecasting
15 Machine learning
16 Judgmental forecasting
17 Now it’s your turn!

目錄大綱(中文翻譯)

Part 1 - Forecasting demand

1 Demand forecasting excellence

2 Introduction to demand forecasting

3 Capturing unconstrained demand (and not sales)

4 Collaboration: data sharing and planning alignment

5 Forecasting hierarchies

6 How long should the forecasting horizon be?

7 Should we reconcile forecasts to align supply chains?

Part 2 - Measuring forecasting quality

8 Forecasting metrics

9 Choosing the best forecasting KPI

10 What is a good forecast error?

11 Measuring forecasting accuracy on a product portfolio

Part 3 - Data-driven forecasting process

12 Forecast value added

13 What do you review? ABC XYZ segmentations and other methods

Part 4 - Forecasting methods

14 Statistical forecasting

15 Machine learning

16 Judgmental forecasting

17 Now it’s your turn!

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