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
Download Photo HD

About

Maria Antónia Carravilla @ FEUP

Maria Antónia Carravilla is a teacher at Faculdade de Engenharia da Universidade do Porto (FEUP) since 1985, visiting professor at Universidade de São Paulo (USP), teacher at Porto Business School in the Executive and Magellan MBA's, and a researcher at INESC-TEC since 1990.

Maria Antónia is the Director of the Doctoral Program in Engineering and Industrial Management (PRODEGI @ FEUP) since 2016.

Maria Antónia Carravilla has been responsible for several R&D contracts with industry, services and public administration. These contracts resulted in reports and decision support systems that proved to be very useful tools for these organizations, leading to long-lasting collaborations with FEUP. The pure research contracts were mainly founded by FCT and are mainly related with the application of constraint programming to the resolution of nesting problems. The R&D contracts and the research contracts were the basis for the theses of several PhD students.

Maria Antónia Carravilla has been a member of the Executive Committee of FEUP for 9 years as Pro-Dean for management and control. She was the Director of the Financial Services and head of the Management Office of FEUP for 7 years. She has been responsible for the Jupiter Project that managed the move of FEUP to the new premises in 2000. She has also been responsible for the projects that resulted in the implementation in FEUP of workflows related with the Financial Services. Within the management office of FEUP she led studies related with indicators for higher education institutions and supervised a masters thesis on sustainability indicators for higher education institutions.

As a teacher at FEUP, Maria Antónia Carravilla has been responsible for several courses related with Operations Research, Operations Management and Logistics that were taught at the BSc, MSc and PhD levels. She has supervised MSc students whose theses were developed in academia as well as in industry.

Maria Antónia Carravilla received in 2009, the first time it has been awarded, FEUP’s Award for Pedagogical Excellence that aims to award the best teacher of FEUP for the past 5 years.

Google Scholar

LinkedIn

Interest
Topics
Details

Details

007
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

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

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

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

Author
Masoud Golalikhani

Institution
UP-FEUP

2020

Business Intelligence aplicada à Gestão do Programa de Sapadores Florestais

Author
Miguel Leal Ferreira de Sousa Freire

Institution
UP-FEUP

2020

Crane-operated warehouses and e-commerce deliveries: models and algorithms for theory and practice

Author
Sam Heshmati

Institution
UP-FEUP