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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

005
Publications

2021

Carsharing: A review of academic literature and business practices toward an integrated decision-support framework

Authors
Golalikhani, M; Oliveira, BB; Carravilla, MA; Oliveira, JF; Antunes, AP;

Publication
Transportation Research Part E: Logistics and Transportation Review

Abstract
Designing a viable carsharing system in a competitive environment is challenging and often dependent on a myriad of decisions. This paper establishes and presents an integrated conceptual decision-support framework for carsharing systems, encompassing critical decisions that should be made by carsharing organizations and users. To identify the main decisions in a carsharing system, and the inputs and interactions among them, it is crucial to obtain a comprehensive understanding of the current state of the literature as well as the business practices and context. To this aim, a holistic and in-depth literature review is conducted to structure distinct streams of literature and their main findings. Then, we describe some of the key decisions and business practices that are often oversimplified in the literature. Finally, we propose a conceptual decision-support framework that systematizes the interactions between the usually isolated problems in the academic literature and business practices, integrating the perspectives of carsharing organizations and of their users. From the proposed framework, we identify relevant research gaps and ways to bridge them in the future, toward more realistic and applicable research. © 2021 Elsevier Ltd

2021

Understanding carsharing: A review of managerial practices towards relevant research insights

Authors
Golalikhani, M; Oliveira, BB; Carravilla, MA; Oliveira, JF; Pisinger, D;

Publication
Research in Transportation Business & Management

Abstract

2019

A co-evolutionary matheuristic for the car rental capacity-pricing stochastic problem

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

Publication
European Journal of Operational Research

Abstract

2018

A dynamic programming approach for integrating dynamic pricing and capacity decisions in a rental context

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

Publication
Springer Proceedings in Mathematics and Statistics

Abstract
Car rental companies have the ability and potential to integrate their dynamic pricing decisions with their capacity decisions. Pricing has a significant impact on demand, while capacity, which translates fleet size, acquisition planning and fleet deployment throughout the network, can be used to meet this price-sensitive demand. Dynamic programming has been often used to tackle dynamic pricing problems and also to deal with similar integrated problems, yet with some significant differences as far as the inventory depletion and replenishment are considered. The goal of this work is to understand what makes the car rental problem different and hinders the application of more common methods. To do so, a discrete dynamic programming framework is proposed, with two different approaches to calculate the optimal-value function: one based on a Mixed Integer Non Linear Program (MINLP) and one based on a Constraint Programming (CP) model. These two approaches are analyzed and relevant insights are derived regarding the (in)ability of discrete dynamic programming to effectively tackle this problem within a rental context when realistically sized instances are considered. © Springer International Publishing AG 2018.

2018

Understanding complexity in a practical combinatorial problem using mathematical programming and constraint programming

Authors
Oliveira, BB; Carravilla, MA;

Publication
Springer Proceedings in Mathematics and Statistics

Abstract
Optimization problems that are motivated by real-world settings are often complex to solve. Bridging the gap between theory and practice in this field starts by understanding the causes of complexity of each problem and measuring its impact in order to make better decisions on approaches and methods. The Job-Shop Scheduling Problem (JSSP) is a well-known complex combinatorial problem with several industrial applications. This problem is used to analyse what makes some instances difficult to solve for a commonly used solution approach – Mathematical Integer Programming (MIP) – and to compare the power of an alternative approach: Constraint Programming (CP). The causes of complexity are analysed and compared for both approaches and a measure of MIP complexity is proposed, based on the concept of load per machine. Also, the impact of problem-specific global constraints in CP modelling is analysed, making proof of the industrial practical interest of commercially available CP models for the JSSP. © Springer International Publishing AG 2018.

Supervised
thesis

2020

An integrated decision-support framework towards incorporating practical pricing decisions into carsharing systems

Author
Masoud Golalikhani

Institution
INESCTEC

2020

Impact of environmental concerns on the capacity-pricing problem in the car rental business

Author
Fábio Miguel Guimarães Queirós

Institution
INESCTEC

2020

A metaheuristic for the capacity-pricing problem in the car rental business

Author
Luis Filipe Ferreira Soares

Institution
INESCTEC

2019

Problemas de corte de peças com incerteza na qualidade da matéria-prima - uma abordagem com algoritmos genéticos

Author
Inês Pinto Coimbra Queirós

Institution
INESCTEC

2019

Understanding demand and pricing behaviour in the car rental business

Author
Sara Isabel Serra Costa

Institution
INESCTEC