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About

My main area of scientific activity is Operations Research and Management Science. Within Operations Research my main application area are the Cutting and Packing Problems, while from the techniques viewpoint my research is centered in the use and development of Metaheuristics approaches.

Cutting and Packing problems are hard combinatorial optimization problems that arise under several practical contexts, whenever big pieces of raw-material have to be cut into smaller items, or small items have to be packed inside a larger container, so that waste is minimized. These problems include hard geometric constraints when dealing with the optimization layer. I have also worked on Vehicle Routing Problem. My research on Lotsizing and Scheduling problems in industrial contexts mainly builds on my expertise on Metaheuristics.

More recently I have worked on the use of the quantitative methods, provided by Operations Research and Management Science, to support decision making in Higher Education institutions management, which includes workload models, sustainability, institutional benchmarking and assessment and evaluation of institutions and teaching staff.

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Publications

2022

A Diversity-Based Genetic Algorithm for Scenario Generation

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

Publication
European Journal of Operational Research

Abstract

2022

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

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

Publication
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.

2021

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

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

Publication
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.

2021

Three-dimensional guillotine cutting problems with constrained patterns: MILP formulations and a bottom-up algorithm

Authors
Martin, M; Oliveira, JF; Silva, E; Morabito, R; Munari, P;

Publication
Expert Systems with Applications

Abstract

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

Supervised
thesis

2021

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

Author
Daniel Filipe Conceição Pereira

Institution
UP-FEUP

2021

Airport Slot Allocation - instances and resolution methods

Author
Sofia Sousa Lobo

Institution
UP-FEUP

2021

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

Author
Sara Ali

Institution
UP-FEUP

2021

Integrating Production Planning in a Manufacturing Execution System (MES)

Author
João Pedro da Costa Silva Pereira

Institution
UP-FEUP

2020

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

Author
Daniel Filipe Conceição Pereira

Institution
UP-FEUP