Intro
Preface
Contents
Part I: Business Operations Management
Socially Optimal Retail Return Strategies Under the Influence of Endowment Effect
1 Introduction
2 Literature Review
3 Model Setup
4 Problem Formulation
5 Numerical Experiments
6 Conclusion
References
Sales & Operations Planning a Practical Implementation Guide
1 Introduction
2 Theoretical Background
3 Methodology
4 S&OP Process in the Latin American Company
5 Practical Guide for S&OP Implementation
6 Conclusion
References

Better Efficiency on Non-performing Loans Debt Recovery and Portfolio Valuation Using Machine Learning Techniques
1 Introduction
1.1 Context and Overview
1.2 Justification
1.3 Purpose and Tools
1.4 Methodology
1.5 Hypothesis
2 Data
2.1 Dataset Clients
2.2 Dataset Contact Management
2.3 Dataset Payments
2.4 Variable Selection and Mapping
2.4.1 Variable Interaction
2.4.2 Variable Mapping
3 Algorithm Selection, Results, and Deployment
3.1 Structure
3.2 Modeling Algorithms
3.3 Metrics
3.4 Data Pre-processing and Development

3.4.1 Binary Classification
Base Model Experimentation
Further Experimentation (Fine Tunning)
3.4.2 Hypothesis Testing
4 Conclusions
5 Recommendations
References
Defense Offsets as a Public Policy: A Bibliometric Review in Brazilian Publications
1 Introduction
2 Literature Review
2.1 Offset Definitions
2.2 Offsets in Brazil
3 Methodology
3.1 Choice of Journals
3.2 Choice of Search Period
3.3 Choice of Search Terms
4 Analysis and Discussion of Results
5 Conclusion and Suggestions for Future Research
References

A Proposal for Collaborative Research Projects Involving Academy and a Brazilian Navy Science and Technology Institution
1 Introduction
2 Material and Methods
2.1 Collaborative Research Projects
2.2 Domain Knowledge and Methodological Knowledge
3 Framework
3.1 Proposed Framework
3.2 Processes
4 Practical Contributions
5 Discussion and Conclusion
References
Part II: Production Process Innovation and New Technologies
Assessing the Attractiveness of Onshore Wind and Solar Photovoltaic Sources in Brazil
1 Introduction
2 Data and Methods

3 Short-Term LCOE Results
4 Medium and Long Term LCOEs
5 Conclusions and Directions for Further Research
References
Forecasting Total Hourly Electricity Consumption in Brazil Through Complex Seasonality Methods
1 Introduction
2 Methods
2.1 Critical Components in Hourly Consumption Time Series
2.2 Univariate Models for Time Series with Simple Seasonal Patterns
2.3 Models for Complex Seasonality Time Series
3 Data and Empirical Setup
3.1 Forecasting Total Hourly Consumption
3.2 Robustness Checks
Forecasting Across Subsystems
4 Results