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About

Master of Science and Doctor of Philosophy in Industrial Engineering and Management by FEUP.

Head of the Research Center for Industrial Engineering and Management from INESC TEC Laboratório Associado.

Assistant Professor at the Department of Industrial Engineering and Management at FEUP.

Co Founder of LTPlabs - consultancy company that applies advanced analytical methods to help make better complex decisions.

Specialist in supply chain planning with an emphasis on food products. He was Supply Chain Analyst at Total Raffinage Marketing (França). Researcher/Consultant in several projects related to Operations Management and supported by different types of entities.

Author of several publications in international journals in the field of Operations Research (for example, International Journal of Production Economics, Industrial Engineering and Chemistry Research, Computers and Chemical Engineering, Interfaces) - Google citation profile.

Interest
Topics
Details

Details

011
Publications

2020

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

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

Publication
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.

2020

Production scheduling in the context of Industry 4.0: review and trends

Authors
Parente, M; Figueira, G; Amorim, P; Marques, A;

Publication
International Journal of Production Research

Abstract

2020

Solving the grocery backroom layout problem

Authors
Pires, M; Silva, E; Amorim, P;

Publication
International Journal of Production Research

Abstract

2020

The multi-period vehicle routing problem with refueling decisions: Traveling further to decrease fuel cost?

Authors
Neves Moreira, F; Amorim Lopes, M; Amorim, P;

Publication
Transportation Research Part E: Logistics and Transportation Review

Abstract

2020

Integrated planning of inbound and outbound logistics with a Rich Vehicle Routing Problem with Backhauls

Authors
Marques, A; Soares, R; Santos, MJ; Amorim, P;

Publication
Omega

Abstract

Supervised
thesis

2019

Integrated Production Planning and Scheduling Optimization

Author
Daniel Filipe de Almeida Carvalho

Institution
UP-FEUP

2019

Improving Value Creation in Technical Industries: an Operations Management Perspective

Author
Ana Catarina Pires Pinto

Institution
UP-FEUP

2019

Towards solving a robust and sustainable Vehicle Routing Problem with Backhauls

Author
Maria João Martins dos Santos

Institution
UP-FEUP

2019

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

Author
Nuno Bernardo Gonçalves Falcão e Cunha

Institution
UP-FEUP

2019

A Sustainable and Optimized Biofuel Supply Chain for Portugal Mainland

Author
Alda Almendra Henriques

Institution
UP-FEUP