Next generation demand management people, process, analytics, and technology
A practical framework for revenue-boosting supply chain management Next Generation Demand Management is a guidebook to next generation Demand Management, with an implementation framework that improves revenue forecasts and enhances profitability. This proven approach is structured around the four ke...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
Wiley
2016.
|
| Edición: | 1st edition |
| Colección: | Wiley and SAS business series.
THEi Wiley ebooks. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629895006719 |
Tabla de Contenidos:
- Cover
- Title Page
- Copyright
- Contents
- Foreword
- Preface
- Acknowledgments
- About the Author
- Chapter 1 The Current State
- Why Demand Management Matters More Than Ever
- The One-Number Forecast
- Forecast by Exception
- Fitting Demand to Supply versus Fitting Supply to Demand
- Lack of Statistical Skills (People)
- Accountability for the Unconstrained Demand Forecast
- Current Challenges and Opportunities
- Primary Obstacles to Achieving Demand Management Planning Goals
- Why Do Companies Continue to Dismiss the Value of Demand Management?
- Summary
- Key Learnings
- Notes
- Further Reading
- Chapter 2 The Journey
- Starting the Supply Chain Journey
- Introducing Sales &
- Operations Planning (S&
- OP) into the Supply Chain Journey
- Sales &
- Operations Planning Connection
- Transitioning to a Demand-Driven Supply Chain
- The Digitalization of the Supply Chain
- Leveraging New Scalable Technology
- Benefits
- Summary
- Key Learnings
- Notes
- Chapter 3 The Data
- What Is Big Data?
- Data versus Actionable Information
- Consumer/Customer Orientation
- Eliminating Information Silos
- Sales &
- Operations Planning
- Technology Can Do It Better and Faster
- A Structured Process Supported by Technology
- Why Is Downstream Data Important?
- Demand Management Data Challenges
- What Historical Demand Data Should Companies Use?
- Manually Cleansing (Adjusting) Demand History Is a Bad Practice
- CPG Company Case Study
- Does Demand History Really Need to Be Cleansed?
- How Much Data Should Be Used?
- Demand-Signal Repositories
- What Are Demand Signal Repositories?
- Benefits of Demand Signal Analytics
- What Are Users Looking to Gain?
- Why Is It Important?
- What Is Demand Signal Analytics?
- Demand Signal Analytics Key Benefits
- Summary
- Key Learnings
- Notes.
- Further Reading
- Chapter 4 The Process
- Centers of Forecasting Excellence
- Demand Management Champion
- Demand-Driven Planning
- What Is Demand Sensing and Shaping?
- What Is Demand Sensing?
- Sensing Demand Signals
- Demand Shaping Is a Critical Success Factor
- True Demand Shaping
- A New Paradigm Shift
- Large-Scale Automatic Hierarchical Forecasting
- Transactional Data
- Time Series Data
- Forecasting Models
- Skill Requirements
- Summary
- Key Learnings
- Further Reading
- Chapter 5 Performance Metrics
- Why MAPE Is Not Always the Best Metric
- Why In-Sample/Out-of-Sample Measurement Is So Important
- Forecastability
- Forecast Value Added
- Ho: Your Forecasting Process Has No Effect
- Summary
- Key Learnings
- Notes
- Further Reading
- Chapter 6 The Analytics
- Underlying Fundaments of Statistical Models
- How Predictable Is the Future?
- Size or Volume of the Forecast
- Aggregation of Data
- Demand Stability
- Competitiveness of the Environment
- Importance of Segmentation of Your Products
- Slow-Moving Products
- New Products
- Fast-Moving Products
- Steady-State Products
- Consumption-Based Modeling
- Consumption-Based Modeling Using Multi-Tiered Causal Analysis
- Consumption-Based Modeling Case Study
- Step-by-Step Process
- MTCA Six-Step Process
- Summary
- Key Learnings
- Notes
- Further Reading
- Chapter 7 The Demand Planning Brief
- Demand Planning Brief
- Overview
- Background
- Recommended Forecast Methodology
- Model Hierarchy
- Model Selection Criteria
- Supporting Information
- Analytic Snapshot
- Methodology
- Model Selection and Interpretation
- Model Comparison and Building
- Overall Model
- Scenario Analysis
- The Implications of a 5 Percent Price Increase
- Final Recommendations
- P&
- L Analysis: Actual versus Scenario
- Final Recommendation
- Summary.
- Key Learnings
- Chapter 8 The Strategic Roadmap
- Current State versus Future State
- Current State
- Goals and Objectives
- People
- Process
- Analytics
- Technology
- Future State
- Goals and Objectives
- People
- Process
- Analytics
- Technology
- Gaps and Interdependencies
- Goals and Objectives
- People
- Process
- Analytics
- Technology
- Strategic Roadmap
- Goals and Objectives
- People
- Process
- Analytics
- Technology
- Summary
- Index
- EULA.
