Cargando…
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
John Wiley & Sons, Inc.,
2016.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
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 JourneyStarting 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 ExcellenceDemand 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 EffectSummary; 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.