| Description |
1 online resource (xvii, 111 pages) : illustrations. |
|
text file PDF |
| Physical Medium |
polychrome |
| Series |
Lecture Notes in Economics and Mathematical Systems,
0075-8442 ;
680
|
|
Lecture notes in economics and mathematical systems ; 680.
|
| Bibliography |
Includes bibliographical references. |
| Contents |
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 Case3.2.3 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 Effects4.4.4 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 Product5.5.3 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 Adjustment6.6.2 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. |
| Summary |
This book addresses the challenging task of demand forecasting and inventory management in retailing. It analyzes how information from point-of-sale scanner systems can be used to improve inventory decisions, and develops a data-driven approach that integrates demand forecasting and inventory management for perishable products, while taking unobservable lost sales and substitution into account in out-of-stock situations. Using linear programming, a new inventory function that reflects the causal relationship between demand and external factors such as price and weather is proposed. The book s. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Business logistics -- Management.
|
|
Business logistics -- Management. |
|
Business logistics. |
|
Retail trade -- Management.
|
|
Retail trade -- Management. |
|
Retail trade -- Forecasting.
|
|
Retail trade -- Forecasting. |
|
Retail trade. |
|
Operational research. |
|
Sales & marketing. |
|
Management of specific areas. |
|
BUSINESS & ECONOMICS -- Industrial Management. |
|
BUSINESS & ECONOMICS -- Management. |
|
BUSINESS & ECONOMICS -- Management Science. |
|
BUSINESS & ECONOMICS -- Organizational Behavior. |
| Indexed Term |
marketing |
|
operationeel onderzoek |
|
operations research |
|
bedrijfswetenschap |
|
management science |
|
ketenmanagement |
|
supply chain management |
|
logistiek |
|
logistics |
|
economie |
|
economics |
|
Management studies, Business Administration, Organizational Science (General) |
|
Economics (General) |
|
Management, bedrijfskunde, organisatiekunde (algemeen) |
|
Economie (algemeen) |
| Genre/Form |
Electronic books.
|
|
Electronic books.
|
| Other Form: |
Print version: Sachs, Anna-Lena. Retail Analytics : Integrated Forecasting and Inventory Management for Perishable Products in Retailing. Cham : Springer International Publishing, ©2014 9783319133041 |
| ISBN |
9783319133058 (electronic book) |
|
3319133055 (electronic book) |
|
3319133047 |
|
9783319133041 |
|
9783319133041 |
| Standard No. |
10.1007/978-3-319-13305-8 |
