Title | Retail Analytics [Anna-Lena Sachs] |
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File Size | 1.5 MB |
Total Pages | 126 |
Abstract Acknowledgements Contents List of Tables List of Figures Acronyms 1 Introduction 1.1 Motivation 1.2 Problem Statement 1.3 Outline 2 Literature Review 2.1 Unobservable Lost Sales 2.2 Assortment Planning 2.3 Assortment Planning with Stockout-Based Substitution 2.4 Stockout-Based Substitution in a Fixed Assortment 2.5 Joint Pricing and Inventory Planning with Substitution 2.6 Behavioral Operations Management 3 Safety Stock Planning Under Causal Demand Forecasting 3.1 Introduction 3.2 Safety Stock Basics and Least Squares Estimation 3.2.1 The Single-Variable Case 3.2.2 The Multi-Variable Case 3.2.3 Violations of Ordinary Least Squares Assumptions 3.3 Data-Driven Linear Programming 3.3.1 The Cost Model 3.3.2 The Service Level Model 3.4 Numerical Examples 3.4.1 Sample Size Effects 3.4.2 Violations of OLS Assumptions 3.4.3 Real Data 3.5 Conclusions 4 The Data-Driven Newsvendor with CensoredDemand Observations 4.1 Introduction 4.2 Related Work 4.3 Data-Driven Model with Unobservable Lost Sales Estimation 4.3.1 Cost Model 4.3.2 Benchmark Approaches 4.4 Numerical Examples 4.4.1 The Normal Distribution 4.4.2 The Negative Binomial Distribution 4.4.3 Sample Size Effects 4.4.4 Real Data 4.5 Conclusions 5 Data-Driven Order Policies with Censored Demand and Substitution in Retailing 5.1 Motivation 5.2 Related Work 5.3 Model 5.3.1 Data 5.3.2 Decisions 5.3.3 Objective Function 5.3.4 Known Demand with Stockout Observations of One Product 5.3.5 Censored Demand 5.4 Numerical Study and Empirical Analysis 5.4.1 Benchmark to Estimate Arrival Rates and Substitution Probabilities 5.4.2 Optimal Solution 5.4.3 Data Generation 5.5 Results 5.5.1 Known Demand with Stockout Observations of One Product 5.5.2 Censored Demand with Stockout Observations of One Product 5.5.3 Censored Demand with Stockout Observations of Both Products 5.5.4 Real Data 5.6 Conclusions 6 Empirical Newsvendor Decisions Under a Service Level Contract 6.1 Introduction 6.2 The Setting 6.2.1 Data Overview 6.3 Modeling Demand 6.4 Normative Decision Model 6.4.1 Product-Specific Service Level 6.5 Empirical Analysis 6.5.1 Expected Profit Maximization 6.5.2 Alternative Decision Models 6.5.3 Comparison of Alternative Decision Models with the Empirical Retailer 6.6 Additional Behavioral Aspects of Decision Making 6.6.1 Anchoring and Adjustment 6.6.2 Minimizing Ex-Post Inventory Error 6.6.3 Order Adaptation and Demand Chasing 6.7 Value of Product Characteristics: Managerial Insights 6.8 Conclusions 7 Conclusions 7.1 Summary 7.2 Limitations and Future Research Directions Bibliography