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008 160712s2016 nju ob 001 0 eng
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082 0 0 _a658.8
_223
049 _aMAIN
100 1 _aChase, Charles W.,
_eauthor.
245 1 0 _aNext generation demand management :
_bpeople, process, analytics, and technology /
_cCharles W. Chase.
264 1 _aHoboken, New Jersey :
_bJohn Wiley & Sons, Inc.,
_c2016.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aIncludes index.
588 0 _aPrint version record and CIP data provided by publisher.
504 _aIncludes bibliographical references and index.
505 0 _aCover; 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.
505 8 _aChapter 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.
505 8 _aWhy 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.
505 8 _aCenters 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.
505 8 _aHo: 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.
520 _aA 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 key catalysts of an efficient planning strategy: people, processes, analytics, and technology. The discussion covers the changes in behavior, skills, and integrated processes that are required for proper implementation, as well as the descriptive and predictive analytics tools and skills that make the process sustainable. Corporate culture changes require a shift in leadership focus, and this guide describes the necessary "champion" with the authority to drive adoption and stress accountability while focusing on customer excellence. Real world examples with actual data illustrate important concepts alongside case studies highlighting best-in-class as well as startup approaches. Reliable forecasts are the primary product of demand planning, a multi-step operational supply chain management process that is increasingly seen as a survival tactic in the changing marketplace. This book provides a practical framework for efficient implementation, and complete guidance toward the supplementary changes required to reap the full benefit.-Learn the key principles of demand driven planning -Implement new behaviors, skills, and processes -Adopt scalable technology and analytics capabilities -Align inventory with demand, and increase channel profitability Whether your company is a large multinational or an early startup, your revenue predictions are only as strong as your supply chain management system. Implementing a proven, more structured process can be the catalyst your company needs to overcome that one lingering obstacle between forecast and goal. Next Generation Demand Management gives you the framework for building the foundation of your growth
590 _aJohn Wiley and Sons
_bWiley Online Library: Complete oBooks
650 0 _aBusiness forecasting.
650 0 _aBusiness logistics.
650 0 _aSupply and demand
_xForecasting.
650 6 _aPr�evision commerciale.
650 6 _aLogistique (Organisation)
650 6 _aOffre et demande
_xPr�evision.
650 7 _aBUSINESS & ECONOMICS
_xIndustrial Management.
_2bisacsh
650 7 _aBUSINESS & ECONOMICS
_xManagement.
_2bisacsh
650 7 _aBUSINESS & ECONOMICS
_xManagement Science.
_2bisacsh
650 7 _aBUSINESS & ECONOMICS
_xOrganizational Behavior.
_2bisacsh
650 7 _aBusiness forecasting
_2fast
650 7 _aBusiness logistics
_2fast
650 7 _aSupply and demand
_xForecasting
_2fast
776 0 8 _iPrint version:
_aChase, Charles.
_tNext generation demand management.
_dHoboken, New Jersey : John Wiley & Sons, Inc., 2016
_z9781119186632
_w(DLC) 2016023743
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119449591
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