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About

About

Rosário Moreira holds a PhD in Management Science, a Master's Degree in Economics and a Degree in Management from the Faculty of Economics of the University of Porto.


Since 1996, she is a Professor at the Faculty of Economics, University of Porto, where she has taught in the areas of Optimization, Logistics and Operations, Accounting and Management Control, and Quality Management.


Since 2023, she has been a member of the Scientific Committee of the Degree in Management. She was, between 2015 and 2023, Director of the Degree in Management.


She is, since 2015, member of the Scientific Committee of the Master in Management of FEP.


Since 2006, she is a Professor at Porto Business School where she teaches Logistics and Operations Management and follows several works/projects in this area. Since 2018, she is a member of the Academic Board of Porto Business School.


Since 2020, she is the director of the Porto Business School's Digital MBA. And between 2021 and 2024, she was the director of the Executive MBA of PBS.


Since 2019, she is a researcher at INESCTEC. She is the author of several publications in international journals such as the International Journal of Production Research, the Journal of Advanced Manufacturing Technology, Total Quality Management and Business Excellence, the International Journal of Computational Science and Engineering and Innovation: Organization & Management. She has participated in the organisation of several international scientific conferences such as EIBA-2010 (European International Business Academy), the XVIII Portuguese-Spanish Conference on Scientific Management (2008) and OPTIMIZATION-2007. He participated, presenting papers, in several international scientific events such as the APDIO (Portuguese Association for Operational Research), EURO (European Conference on Operational Research) and EUROSIS (European Simulation and Modelling Conference) Congresses.


She has researched several areas of Management namely Optimization, Operations Management, Lean, E-commerce, Innovation, Internationalisation and Quality Management.


She was, between 2015 and 2023, a member of the Scientific Council of the Faculty of Economics and a member of the Management Scientific Grouping Council.


She was the Coordinator of the Porto Business School Post-Graduations for Quality and Accreditation.


She was invited to teach International Operations Management in short courses at Banco Santander (2012 and 2013) and Project Management to management teams of Northern City Councils (from 2010 to 2012).

Interest
Topics
Details

Details

  • Name

    Rosário Moreira
  • Role

    Senior Researcher
  • Since

    17th July 2019
003
Publications

2023

Having a better environmental performance translates into a better financial performance: A study of the European food industry

Authors
Gomes, AMS; de Sousa, PSA; Moreira, MDA;

Publication
ENVIRONMENTAL & SOCIO-ECONOMIC STUDIES

Abstract
This study examined the relationship between Environmental Performance (EP) and Financial Performance (FP) in the European food industry. The food industry is essential for population sustenance, but the rising population and the consequent increase in food production demand have implications for climate change. The aim of this study was to determine if businesses that consume water more efficiently and have lower CO2 emission intensities might experience improved financial performance. Financial and environmental data were sourced from external databases and company reports, and both quantile regression and correlation analyses were conducted. The results reveal that various sectors within the food industry exhibit different linkages between Environmental Performance and Financial Performance. Furthermore, our findings indicate that water use efficiency can significantly influence financial performance, either positively or negatively, while CO2 emission intensity did not exhibit a definitive impact on Financial Performance.

2022

Ramping up a heuristic procedure for storage location assignment problem with precedence constraints

Authors
Trindade, MAM; Sousa, PSA; Moreira, MRA;

Publication
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL

Abstract
The retail industry is becoming increasingly competitive; as a result, companies are seeking to reduce inefficiencies in their supply chains. One way of increasing the efficiency of operations inside a warehouse is by better allocating products in the available spaces. In this paper, we propose a new heuristic approach to solving the storage location assignment problem (SLAP) considering precedence constraints, in multi-aisle, multi-product picking warehouses. A two-phase heuristic procedure is developed: the products are clustered and assigned to the available spaces. We tested the procedure in the non-perishables warehouse of a real-world Portuguese retail chain, which supplies 191 stores per day. The results show that the new assignment of products allows for an improvement of up to 15% on the distance travelled by the pickers, which implies savings of approximately 477 km per month. This problem is a special case of SLAP since we are dealing with large percentages of non-uniform products. This procedure incorporates four relevant criteria for the allocation decision: the products' similarity, demand and weight, and the distance travelled by the picker. By using a two-phase heuristic method, this study offers companies and academics an alternative and more effective solution for SLAP than the usual methods based on the creation of density zones.

2021

Product allocation planning with handling constraints: a case study analysis

Authors
Trindade, MAM; Sousa, PSA; Moreira, MRA;

Publication
INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT

Abstract
The storage policy has a tremendous impact on the efficiency of order-picking operations, which can account for up to 50% of operating costs. The coronavirus pandemic has reinforced the importance of managers making the right operational decisions, namely regarding the definition of the storage policy. It is therefore important to consider handling constraints. This article is inspired by a Portuguese retail company and it considers two handling constraints: weight and shape. We define the location of products by using a zero-one quadratic assignment model. In this model, in addition to the demand and similarity, we considered the weight and shape of the products. We used both weight and shape parameters to set products with similar shapes together, placing aside products with odd shapes. Our analysis shows that the inclusion of the shape and weight into the problem improved the current operations. We found that our method allowed for a reduction of up to 24% in the picking distance, a percentage higher than the one that only considers weight constraints. The inclusion of the shape parameter into the study enabled the company to increase the flow and efficiency of the order-picking operations. Thus, it can be an asset for other warehouses.

2021

Improving order-picking operations with precedence constraints through efficient storage location assignment: Evidence from a retail company

Authors
Trindade, MAM; Sousa, PSA; Moreira, MRA;

Publication
U.Porto Journal of Engineering

Abstract
This paper is inspired by a manual picking retail company where shape and weight constraints affect the order-picking process. We proposed an alternative clustering similarity index that considers the similarity, the weight and the shape of products. This similarity index was further incorporated in a storage allocation heuristic procedure to set the location of the products. We test the procedure in a retail company that supplies over 191 stores, in Northern Portugal. When comparing the strategy currently used in the company with this procedure, we found out that our approach enabled a reduction of up to 40% on the picking distance; a percentage of improvement that is 32% higher than the one achieved by applying the Jaccard index, a similarity index commonly used in the literature. This allows warehouses to save time and work faster.

2021

Lean direction in literature: a bibliometric approach

Authors
Jiang, WX; Sousa, PSA; Moreira, MRA; Amaro, GM;

Publication
PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL

Abstract
This research establishes a comprehensive chronological and geographical overview of the recent topics mostly debated about the use of Lean thinking in services, disclosing its main trends, gaps and weaknesses. An ample compilation of research from Web of Science and Scopus was examined, and bibliometric analyses were performed, namely publication counting, and abstract, co-citation and co-word analysis. Unfolding Lean implementation projects and evaluating its outcomes are the most frequent themes. Reducing waste and increasing efficiency are often mentioned as the benefits. There are clear gaps in research density between multiple service sectors and healthcare; lack of established models and extensive use of case study method are the weaknesses of the studies in this field. This paper allows Lean practitioners having a sketch of the landscape of this field and its trends. This is the first effort to synthesize those topics in service industry as a whole, using bibliometric methods.

Supervised
thesis

2022

Segurança em IoT - Caso de estudo FIWARE

Author
Rodrigo Lopes Ananias

Institution
UP-FCUP

2021

Hierarchical Time Series Predictions in a Portuguese Telecommunications' Company

Author
Mariana de Quina Rodrigues

Institution
UP-FEP

2021

Storage Location Optimization for a Real-World Stock Warehouse: The Non-Food Sector

Author
Maria Alice Moreira Trindade

Institution
UP-FEP

2021

COMMUNICATION PLAN OF THE NEW WINE ROUTE OF DOURO AND PORTO

Author
João Felipe Coiradas Pedroso

Institution
UP-FLUP

2020

Which service factors are critical for customers? A systematic literature review and meta-analysis

Author
João Pedro Oliveira Catarino Leandro

Institution
UP-FEP