Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
About

About

I am a researcher at INESC TEC and I have obtained my PhD in Engineering and Industrial Management at FEUP (Faculty of Engineering of the University of Porto). My main field of research is Operations Research and Management Science. Within this scientific area, the application area I am studying is fleet management and pricing (and their integration) in mobility systems, especially in the car rental and car sharing businesses. From the techniques viewpoint, I have been using and developing Matheuristic approaches, which combine heuristics and metaheuristics with mathematical programming. I am generally interested in quantitative methods to support real-world decisions in a time- and cost-effective manner, with a special focus on hybridization techniques, especially those that consider uncertainty issues. Recently, I have also been also extending this interest to include other modelling approaches such as Constraint Programming or Dynamic Programming.

Interest
Topics
Details

Details

004
Publications

2023

The Art of the Deal: Machine Learning Based Trade Promotion Evaluation

Authors
Viana, DB; Oliveira, BB;

Publication
Springer Proceedings in Mathematics and Statistics

Abstract
Trade promotions are complex marketing agreements between a retailer and a manufacturer aiming to drive up sales. The retailer proposes numerous sales promotions that the manufacturer partially supports through discounts and deductions. In the Portuguese consumer packaged goods (CPG) sector, the proportion of price-promoted sales to regular-priced sales has increased significantly, making proper promotional planning crucial in ensuring manufacturer margins. In this context, a decision support system was developed to aid in the promotional planning process of two key product categories of a Portuguese CPG manufacturer. This system allows the manufacturer’s commercial team to plan and simulate promotional scenarios to better evaluate a proposed trade promotion and negotiate its terms. The simulation is powered by multiple gradient boosting machine models that estimate sales for a given promotion based solely on the scarce data available to the manufacturer. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2022

A Diversity-Based Genetic Algorithm for Scenario Generation

Authors
Oliveira, BB; Carravilla, MA; Oliveira, JF;

Publication
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Abstract

2022

A C++ application programming interface for co-evolutionary biased random-key genetic algorithms for solution and scenario generation

Authors
Oliveira, BB; Carravilla, MA; Oliveira, JF; Resende, MGC;

Publication
OPTIMIZATION METHODS & SOFTWARE

Abstract
This paper presents a C++ application programming interface for a co-evolutionary algorithm for solution and scenario generation in stochastic problems. Based on a two-space biased random-key genetic algorithm, it involves two types of populations that are mutually impacted by the fitness calculations. In the solution population, high-quality solutions evolve, representing first-stage decisions evaluated by their performance in the face of the scenario population. The scenario population ultimately generates a diverse set of scenarios regarding their impact on the solutions. This application allows the straightforward implementation of this algorithm, where the user needs only to define the problem-dependent decoding procedure and may adjust the risk profile of the decision-maker. This paper presents the co-evolutionary algorithm and structures the interface. We also present some experiments that validate the impact of relevant features of the application. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

2022

First-mile logistics parcel pickup: Vehicle routing with packing constraints under disruption

Authors
Gimenez Palacios, I; Parreno, F; Alvarez Valdes, R; Paquay, C; Oliveira, BB; Carravilla, MA; Olivera, JF;

Publication
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW

Abstract

2022

A stochastic programming approach to the cutting stock problem with usable leftovers

Authors
Cherri, AC; Cherri, LH; Oliveira, BB; Oliveira, JF; Carravilla, MA;

Publication
European Journal of Operational Research

Abstract

Supervised
thesis

2022

Mobile Charging Stations in Electric Shared Micromobility

Author
Daniela Figueiredo Ângelo

Institution
UP-FEUP

2022

Analytical Revenue Management in Rent-a-Car Company

Author
Guilherme Pereira Pinheiro

Institution
UP-FEUP

2022

Breakthrough Ideation and Lean Product Development in The Ceramic Industry

Author
Inês Maria Roque Fernandes

Institution
UP-FEUP

2022

Developing a Platform for Product Catalogue Management and Data Analysis of Food Retailers

Author
Francisco Jorge da Silva Neves e Queiroz Machado

Institution
UP-FEUP

2022

Time Series Forecasting and Categorization: an Empirical Study on Intermittent and Lumpy Demand

Author
Rodrigo Cardoso Miranda Santos

Institution
UP-FEUP