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Sobre

Sobre

A minha área de investigação principal é a Investigação Operacional e os Métodos Quantitativos aplicados à Gestão. Neste âmbito, a área de aplicação principal são os problema de Cortes e Empacotamentos enquanto, do ponto de vista das técnicas, a minha investigação está centrada na utilização e desenvolvimento de abordagens baseadas em metaheurísticas.

Os problemas de Cortes e Empacotamentos são, na sua maioria, problemas de optimização combinatória NP-difíceis e ocorrem em vários contextos práticos sempre que peças grandes de matéria-prima tenham que ser cortadas em peças mais pequenas ou, alternativamente, itens pequenos tenham que ser empacotados dentro de um contentor maior, de forma a que o desperdício, de matéria-prima ou espaço, seja minimizado. Estes problemas incluem difíceis restrições geométricas na sua camada de optimização. Também trabalhei em problemas de determinação de rotas de veículos. A minha investigação em problemas de sequenciamento de determinação de lotes em contextos industriais deriva fundamentalmente do meu trabalho com metaheurísticas.

Mais recentemente tenho trabalhado na utilização dos métodos quantitativos providenciados pela Investigação Operacional no apoio à decisão na gestão de instituições do ensino superior, o que inclui a avaliação institucional e de recursos humanos, "benchmarking", sustentabilidade e modelos de avaliação de carga e desempenho.

Tópicos
de interesse
Detalhes

Detalhes

011
Publicações

2022

A Diversity-Based Genetic Algorithm for Scenario Generation

Autores
Oliveira, BB; Carravilla, MA; Oliveira, JF;

Publicação
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Abstract

2022

Merging make-to-stock/make-to-order decisions into sales and operations planning: A multi-objective approach

Autores
Pereira, DF; Oliveira, JF; Carravilla, MA;

Publicação
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

Abstract
With the advent of mass customization and product proliferation, the appearance of hybrid Make-toStock(MTS)/Make-to-Order(MTO) policies arise as a strategy to cope with high product variety maintaining satisfactory lead times. In companies operating under this reality, Sales and Operations Planning (S&OP) practices must be adapted accordingly during the coordinated planning of procurement, production, logistics, and sales activities. This paper proposes a novel S&OP decision-making framework for a flow shop/batch company that produces standard products under an MTS strategy and customized products under an MTO strategy. First, a multi-objective mixed-integer programming model is formulated to characterize the problem. Then, a matrix containing the different strategies a firm in this context may adopt is proposed. This rationale provides a business-oriented approach towards the analysis of different plans and helps to frame the different Pareto-optimal solutions given the priority on MTS or MTO segments and the management positioning regarding cost minimization or service level orientation. The research is based on a real case faced by an electric cable manufacturer. The computational experiments demonstrate the applicability of the proposed methodology. Our approach brings a practical, supply chain-oriented, and mid-term perspective on the study of operations planning policies in MTS/MTO contexts.

2022

On-line three-dimensional packing problems: A review of off-line and on-line solution approaches

Autores
Ali, S; Ramos, AG; Carravilla, MA; Oliveira, JF;

Publicação
COMPUTERS & INDUSTRIAL ENGINEERING

Abstract

2022

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

Autores
Giménez-Palacios, I; Parreño, F; Álvarez-Valdés, R; Paquay, C; Oliveira, BB; Carravilla, MA; Oliveira, JF;

Publicação
Transportation Research Part E: Logistics and Transportation Review

Abstract

2021

Retail shelf space planning problems: A comprehensive review and classification framework

Autores
Bianchi Aguiar, T; Hubner, A; Carravilla, MA; Oliveira, JF;

Publicação
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Abstract
The retail shelf space planning problem has long been addressed by Marketing and Operations Research (OR) professionals and researchers, with the first empirical studies tracing back to the 1960s and the first modelling approaches back to the 1970s. Due to this long history, this field presents a wide range of different mathematical modelling approaches that deal with the decisions surrounding a set of products and not only define their space assignment and related quantity, but also their vertical and horizontal positioning within a retail shelf. These decisions affect customer demand, namely in the form of space- and position-dependent demand and replenishment requirements. Current literature provides either more comprehensive decision models with a wide range of demand effects but limited practical applicability, or more simplistic model formulations with greater practical application but limited consideration of the associated demand. Despite the recent progress seen in this research area, no work has yet systematised published research with a clear focus on shelf space planning. As a result, there is neither any up-to-date structured literature nor a unique model approach, and no benchmark sets are available. This paper provides a description and a state-of-the-art literature review of this problem, focusing on optimisation models. Based on this review, a classification framework is proposed to systematise the research into a set of sub-problems, followed by a unified approach with a univocal notation of model classes. Future lines of research point to the most promising open questions in this field.

Teses
supervisionadas

2021

Tactical sales and Operations Planning: quantitative decision-making approaches for integrated planning

Autor
Daniel Filipe Conceição Pereira

Instituição
UP-FEUP

2021

Developing a learning solution approach for the on-line three-dimensional bin packing problems

Autor
Sara Ali

Instituição
UP-FEUP

2021

LIGTHWEIGHT + POST-QUANTUM CRYPTOGRAPHIES

Autor
Henrique José Carvalho Faria

Instituição
UM

2021

Privacy Preserving Middleware Platform for IoT

Autor
Patrícia Raquel Vieira Sousa

Instituição
UP-FCUP

2021

Advanced methodologies for the diagnosis of agronomic processes based on systems biology forprecision agriculture

Autor
Renan Tosin

Instituição
UP-FCUP