Capacity expansion in liberalized electricity markets with locational pricing and renewable energy investments. (2023)
Journal Article
OLIVEIRA, F.S., WILLIAM-RIOUX, B. and PIERRU, A. 2023. Capacity expansion in liberalized electricity markets with locational pricing and renewable energy investments. Energy economics [online], 127(B), article number 106958. Available from: https://doi.org/10.1016/j.eneco.2023.106958

We study the long-term incentives for expanding production capacity in liberalized electricity markets. How does electricity market design affect the prices of energy, capacity and social welfare? And how is this capacity market affected by the geogr... Read More about Capacity expansion in liberalized electricity markets with locational pricing and renewable energy investments..

The emergence of social inequality: a co-evolutionary analysis. (2023)
Journal Article
OLIVEIRA, F.S. 2023. The emergence of social inequality: a co-evolutionary analysis. Journal of economic behavior and organization [online], 215, pages 192-206. Available from: https://doi.org/10.1016/j.jebo.2023.06.003

Social inequality is an important issue at the core of economic thought. Based on a stylized pie-sharing game, this article proposes a co-evolutionary computational model to study the interaction between social classes, aiming to answer the following... Read More about The emergence of social inequality: a co-evolutionary analysis..

Dynamic pricing of regulated field services using reinforcement learning. (2023)
Journal Article
MANDANIA, R. and OLIVEIRA, F.S. 2023. Dynamic pricing of regulated field services using reinforcement learning. IISE transactions [online], 55(10), pages 1022-1034. Available from: https://doi.org/10.1080/24725854.2022.2151672

Resource flexibility and dynamic pricing are effective strategies in mitigating uncertainties in production systems; however, they have yet to be explored in relation to the improvement of field operations services. We investigate the value of dynami... Read More about Dynamic pricing of regulated field services using reinforcement learning..

Analysis of the optimal policy for managing strategic petroleum reserves under long-term uncertainty: the ASEAN case. (2022)
Journal Article
OLIVEIRA, F.S., ZAHUR, N.B. and WU, F. 2023. Analysis of the optimal policy for managing strategic petroleum reserves under long-term uncertainty: the ASEAN case. Computers and industrial engineering [online], 175, article number 108834. Available from: https://doi.org/10.1016/j.cie.2022.108834

We examine the issue of petroleum stockpiling in the Association of Southeast Asian Nations (ASEAN), computing the optimal build-up and draw-down policies under different conditions. We study, in detail, the properties of petroleum prices, oil import... Read More about Analysis of the optimal policy for managing strategic petroleum reserves under long-term uncertainty: the ASEAN case..

The role of international anti-corruption regulations in promoting socially responsible practices. (2021)
Journal Article
JANDHYALA, S. and OLIVEIRA, F.S. 2021. The role of international anti-corruption regulations in promoting socially responsible practices. Journal of economic behavior and organization [online], 190, pages 15-32. Available from: https://doi.org/10.1016/j.jebo.2021.07.017

We analyze how international anti-corruption rules impact the behavior of multinational firms in promoting sustainable practices. Competition from multinational firms is expected to lower bribe rents and hence corruption in host countries. However, w... Read More about The role of international anti-corruption regulations in promoting socially responsible practices..

Procurement risk management in a petroleum refinery. (2021)
Journal Article
OLIVEIRA, F.S. 2023. Procurement risk management in a petroleum refinery. Decision sciences [online], 54(3), pages 277-296. Available from: https://doi.org/10.1111/deci.12536

We analyze a petroleum refinery's procurement strategy, explaining how risk management affects optimal sourcing from long-term, spot, and swap contracts. We use time series analysis to model the interaction between petroleum prices, transportation co... Read More about Procurement risk management in a petroleum refinery..

Analysis of futures and spot electricity markets under risk aversion. (2020)
Journal Article
OLIVEIRA, F.S. and RUIZ, C. 2021. Analysis of futures and spot electricity markets under risk aversion. European journal of operational research [online], 291(3), pages 1132-1148. Available from: https://doi.org/10.1016/j.ejor.2020.10.005

We analyze the procurement problem in the electricity supply chain, focusing on the interaction between futures and spot prices. The supply chain network analyzed in our study includes risk-averse generators and retailers, both with the ability to us... Read More about Analysis of futures and spot electricity markets under risk aversion..

A causal map analysis of supply chain decentralization. (2020)
Journal Article
OLIVEIRA, F.S. 2022. A causal map analysis of supply chain decentralization. Journal of computer information systems [online], 62(2), pages 205-215. Available from: https://doi.org/10.1080/08874417.2020.1768606

We study the inclusion of loops in automated theory development based on causal logic. As an area of application, we formalize a model of learning, adaptation, and selection in supply chain management. Our methodological contribution is to analyze a... Read More about A causal map analysis of supply chain decentralization..

Capacity expansion under uncertainty in an oligopoly using indirect reinforcement-learning. (2017)
Journal Article
OLIVEIRA, F.S. and COSTA, M.L.G. 2018. Capacity expansion under uncertainty in an oligopoly using indirect reinforcement-learning. European journal of operational research [online], 267(3), pages 1039-1050. Available from: https://doi.org/10.1016/j.ejor.2017.11.013

We model capacity expansion in oligopolistic markets, with endogenous prices, under uncertainty, considering multiple production technologies. As this environment is complex, capacity expansion is the outcome of a learning process by individual firms... Read More about Capacity expansion under uncertainty in an oligopoly using indirect reinforcement-learning..

Flexible lease contracts in the fleet replacement problem with alternative fuel vehicles: a real-options approach. (2017)
Journal Article
ANSARIPOOR, A.H. and OLIVEIRA, F.S. 2018. Flexible lease contracts in the fleet replacement problem with alternative fuel vehicles: a real-options approach. European journal of operational research [online], 266(1), pages 316-327. Available from: https://doi.org/10.1016/j.ejor.2017.09.010

We study the use of flexible lease contacts in the fleet portfolio management problem of a firm that aims to minimize its cost and risk (Recursive Expected Conditional Value at Risk), simultaneously, in a stochastic multi-period setting by deciding w... Read More about Flexible lease contracts in the fleet replacement problem with alternative fuel vehicles: a real-options approach..

Strategic procurement in spot and forward markets considering regulation and capacity constraints. (2017)
Journal Article
OLIVEIRA, F.S. 2017. Strategic procurement in spot and forward markets considering regulation and capacity constraints. European journal of operational research [online], 261(2), pages 540-548. Available from: https://doi.org/10.1016/j.ejor.2017.01.052

With the generalization of business-to-business electronic exchanges, online spot markets have become an important component of suppliers' procurement strategies in their aim to increase flexibility and reduce transaction costs. In this article we an... Read More about Strategic procurement in spot and forward markets considering regulation and capacity constraints..

A creativity support system based on causal mapping. (2016)
Journal Article
OLIVEIRA, F.S. 2018. A creativity support system based on causal mapping. Journal of computer information systems [online], 58(2), pages 99-109. Available from: https://doi.org/10.1080/08874417.2016.1202089

Theory development is a very complex process that requires creativity and highly specialized analytical skills. This article presents a new algorithm, based on causal mapping, for assisting in the creation of qualitative theories. This algorithm is a... Read More about A creativity support system based on causal mapping..

Dynamic capacity planning using strategic slack valuation. (2016)
Journal Article
BUNN, D.W. and OLIVEIRA, F.S. 2016. Dynamic capacity planning using strategic slack valuation. European journal of operational research [online], 253(1), pages 40-50. Available from: https://doi.org/10.1016/j.ejor.2016.02.013

In this paper we analyze a particular aspect of capacity planning that is concerned with the active trading of production facilities. For a homogenous product market we provide a theoretical rationale for the valuation and trading of these assets bas... Read More about Dynamic capacity planning using strategic slack valuation..

Recursive expected conditional value at risk in the fleet renewal problem with alternative fuel vehicles. (2016)
Journal Article
ANSARIPOOR, A.H., OLIVEIRA, F.S. and LIRET, A. 2016. Recursive expected conditional value at risk in the fleet renewal problem with alternative fuel vehicles. Transportation research part C: emerging technologies [online], 65, pages 156-171. Available from: https://doi.org/10.1016/j.trc.2015.12.010

We study the fleet portfolio management problem faced by a firm deciding which alternative fuel vehicles (AFVs) to choose for its fleet to minimise the weighted average of cost and risk, in a stochastic multi-period setting. We consider different typ... Read More about Recursive expected conditional value at risk in the fleet renewal problem with alternative fuel vehicles..

Dynamic pricing policies for interdependent perishable products or services using reinforcement learning. (2014)
Journal Article
RANA, R. and OLIVEIRA, F.S. 2015. Dynamic pricing policies for interdependent perishable products or services using reinforcement learning. Expert systems with applications [online], 42(1), pages 426-436. Available from: https://doi.org/10.1016/j.eswa.2014.07.007

Many businesses offer multiple products or services that are interdependent, in which the demand for one is often affected by the prices of others. This article considers a revenue management problem of multiple interdependent products, in which dyna... Read More about Dynamic pricing policies for interdependent perishable products or services using reinforcement learning..

Analysis of relationship between forward and spot markets in oligopolies under demand and cost uncertainties. (2014)
Journal Article
GÜLPıNAR, N. and OLIVEIRA, F.S. 2014. Analysis of relationship between forward and spot markets in oligopolies under demand and cost uncertainties. Computational management science [online], 11(3), pages 267-283. Available from: https://doi.org/10.1007/s10287-014-0217-7

In this paper, we consider interaction between spot and forward trading under demand and cost uncertainties, deriving the equilibrium of the multi-player dynamic games. The stochastic programming and worst-case analysis models based on discrete scena... Read More about Analysis of relationship between forward and spot markets in oligopolies under demand and cost uncertainties..

Robust supply chain risk management. (2014)
Book Chapter
ANSARIPOOR, A.H. and OLIVEIRA, F.S. 2014. Robust supply chain risk management. In Wang, J. (ed.) Encyclopedia of business analytics and optimization. Hershey: IGI Global [online], chapter 188, pages 2093-2103. Available from: https://doi.org/10.4018/978-1-4666-5202-6.ch188

In this chapter we revise the literature on supply chain risk management, including risk assessment, risk perception and risk management policies, and we survey the robust optimization methods proposed in the literature to address these issues.

Reinforcement learning for business modeling. (2014)
Book Chapter
OLIVEIRA, F.S. 2014. Reinforcement learning for business modeling. In Wang, J. (ed.) Encyclopedia of business analytics and optimization. Hershey: IGI Global [online], chapter 181, pages 2010-2019. Available from: https://doi.org/10.4018/978-1-4666-5202-6.ch181

This chapter summarizes the reinforcement learning theory, emphasizing its relationship with dynamic programming (reinforcement learning algorithms may replace dynamic programming when a full model of the environment is not available) and analysing i... Read More about Reinforcement learning for business modeling..

Finite automata games: basic concepts. (2014)
Book Chapter
OLIVEIRA, F.S. 2014. Finite automata games: basic concepts. In Wang, J. (ed.) Encyclopedia of business analytics and optimization. Hershey: IGI Global [online], chapter 88, pages 951-959. Available from: https://doi.org/10.4018/978-1-4666-5202-6.ch088

In this chapter we review the basic concepts on automata games, including best response, inference, equilibrium and complex system dynamics. We describe how the concept of Nash equilibrium is used to analyze the properties of automata systems and dis... Read More about Finite automata games: basic concepts..

A risk management system for sustainable fleet replacement. (2014)
Journal Article
ANSARIPOOR, A.H., OLIVEIRA, F.S. and LIRET, A. 2014. A risk management system for sustainable fleet replacement. European journal of operational research [online], 237(2), pages 701-712. Available from: https://doi.org/10.1016/j.ejor.2014.02.006

This article analyzes the fleet management problem faced by a firm when deciding which vehicles to add to its fleet. Such a decision depends not only on the expected mileage and tasks to be assigned to the vehicle but also on the evolution of fuel an... Read More about A risk management system for sustainable fleet replacement..