Cookies
Usamos cookies para melhorar nosso site e a sua experiência. Ao continuar a navegar no site, você aceita a nossa política de cookies. Ver mais
Aceitar Rejeitar
  • Menu
Sobre
Download foto HD

Sobre

Professor Catedrático na FEUP, no Departamento de Engenharia e Gestão Industrial. Membro do Conselho de Administração do INESC-TEC Tecnologia e Ciência. Co-fundador da empresa LTPlabs (spin-off do INESC-TEC e da FEUP). Membro do Conselho de Curadores da Fundação Belmiro de Azevedo.

A sua área de atividade é Business Analytics e Management Science. Investiga, desenvolve e implementa modelos e métodos analíticos para auxiliar a tomada de decisão, resolvendo problemas de gestão em vários domínios (retalho, saúde, indústria e transportes), com um enfoque especial em Gestão de Operações.

Licenciado em Gestão e Engenharia Industrial pela Faculdade de Engenharia da Universidade do Porto (FEUP, 2002) e doutorado e agregado em Engenharia e Gestão Industrial (Universidade do Porto, 2007 e 2016). Foi investigador no Operations Research Center e na Sloan School of Management do Massachusetts Institute of Technology. Certified Analytics Professional pelo The Institute for Operations Research and the Management Sciences.

Anteriormente Vice-diretor académico do Centro de Estudos Avançados Portugal da IBM.  Co-fundador da empresa Adjust Consulting (adquirida pela Glintt HealthCare).

Tópicos
de interesse
Detalhes

Detalhes

020
Publicações

2020

Cooperative coevolution of expressions for (r,Q) inventory management policies using genetic programming

Autores
Lopes, RL; Figueira, G; Amorim, P; Almada Lobo, B;

Publicação
International Journal of Production Research

Abstract
There are extensive studies in the literature about the reorder point/order quantity policies for inventory management, also known as (r,Q) policies. Over time different algorithms have been proposed to calculate the optimal parameters given the demand characteristics and a fixed cost structure, as well as several heuristics and meta-heuristics that calculate approximations with varying accuracy. This work proposes a new meta-heuristic that evolves closed-form expressions for both policy parameters simultaneously - Cooperative Coevolutionary Genetic Programming. The implementation used for the experimental work is verified with published results from the optimal algorithm, and a well-known hybrid heuristic. The evolved expressions are compared to those algorithms, and to the expressions of previous Genetic Programming approaches available in the literature. The results outperform the previous closed-form expressions and demonstrate competitiveness against numerical methods, reaching an optimality gap of less than (Formula presented.), while being two orders of magnitude faster. Moreover, the evolved expressions are compact, have good generalisation capabilities, and present an interesting structure resembling previous heuristics. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

2019

Consistent Consolidation Strategies in Grocery Retail Distribution

Autores
Martins, S; Amorim, P; Almada Lobo, B;

Publicação
Springer Proceedings in Mathematics and Statistics

Abstract
In the food retail sector, maintaining the food quality across the supply chain is of vital importance. The quality of the products is dependent on its storage and transportation conditions and this peculiarity increases the supply chain complexity relatively to other types of retailers. Actually, in this industry there are three types of food supply chains: frozen, chilled and ambient. Moreover, food retailers run different store formats, of different sizes, assortments and sales volume. In this study we research the trade-off between consolidating a range of products in order to perform direct deliveries to the stores versus performing separate delivery routes for products with different transportation requirements. A new consistency dimension is proposed regarding the periodicity that a consolidation strategy is implemented. The aim of this paper is to define a consolidation strategy for the delivery mode planning that allows to smooth the complexity of grocery retail operations. A three-step approach is proposed to tackle a real size problem in a case-study with a major Portuguese grocery retailer. By changing the consolidation strategy with a complete consistent plan the company could reach annual savings of around 4%. © 2019, Springer Nature Switzerland AG.

2019

Consistent vehicle routing problem with service level agreements: A case study in the pharmaceutical distribution sector

Autores
Campelo, P; Neves Moreira, F; Amorim, P; Almada Lobo, B;

Publicação
European Journal of Operational Research

Abstract
In this paper, a mathematical model is developed to tackle a Consistent Vehicle Routing Problem, which considers customers with multiple daily deliveries and different service level agreements such as time windows, and release dates. In order to solve this problem, an instance size reduction algorithm and a mathematical programming based decomposition approach are developed. This solution approach is benchmarked against a commercial solver. Results indicate that the method solves instances of large size, enabling its application to real-life scenarios. A case study in a pharmaceutical distribution company is analyzed. Consistent routes are planned for several warehouses, comprising hundreds of orders. A simulation model evaluates the performance of the generated route plans. Significant improvements in terms of the total distance traveled and the total travel times are obtained when compared to the company's current planning process. © 2018 Elsevier B.V.

2019

Product-oriented time window assignment for a multi-compartment vehicle routing problem

Autores
Martins, S; Ostermeier, M; Amorim, P; Huebner, A; Almada Lobo, B;

Publicação
European Journal of Operational Research

Abstract

2019

Solving a large multi-product production-Routing problem with delivery time windows

Autores
Neves Moreira, F; Almada Lobo, B; Cordeau, JF; Guimaraes, L; Jans, R;

Publicação
Omega

Abstract

Teses
supervisionadas

2019

Improving Packaging Assignment on a fashion multi-partner e-commerce platform

Autor
Catarina Matos Fernandes da Hora Marques

Instituição
UP-FEUP

2019

Product Catalogue Process  Improvement and Advanced Monitorization

Autor
José Luís Faria de Sá

Instituição
UP-FEUP

2019

The impact of servitization on the performance of manufacturing firms over time: An empirical investigation in the elevator industry

Autor
Miguel Leichsenring Franco

Instituição
UP-FEUP

2019

Leveraging Supplier Selection Within Supply Chain Managememt Under Uncertainty

Autor
Thomy Eko Saputro

Instituição
UP-FEUP

2019

Supply Chain Modelling and Supplier Selection under Supply Chain Risk Management in the Aerospace Industry

Autor
Nuno Bernardo Gonçalves Falcão e Cunha

Instituição
UP-FEUP