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About

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

008
Publications

2019

Consistent Consolidation Strategies in Grocery Retail Distribution

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

Publication
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

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

Publication
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

Multiple vehicle synchronisation in a full truck-load pickup and delivery problem: a case-study in the biomass supply chain

Authors
Soares, R; Marques, A; Amorim, P; Rasinmäki, J;

Publication
European Journal of Operational Research

Abstract

2019

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

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

Publication
European Journal of Operational Research

Abstract

2018

A computational study of the general lot-sizing and scheduling model under demand uncertainty via robust and stochastic approaches

Authors
Alem, D; Curcio, E; Amorim, P; Almada Lobo, B;

Publication
COMPUTERS & OPERATIONS RESEARCH

Abstract
This paper presents an empirical assessment of the General Lot-Sizing and Scheduling Problem (GLSP) under demand uncertainty by means of a budget-uncertainty set robust optimization and a two-stage stochastic programming with recourse model. We have also developed a systematic procedure based on Monte Carlo simulation to compare both models in terms of protection against uncertainty and computational tractability. The extensive computational experiments cover different instances characteristics, a considerable number of combinations between budgets of uncertainty and variability levels for the robust optimization model, as well as an increasing number of scenarios and probability distribution functions for the stochastic programming model. Furthermore, we have devised some guidelines for decision-makers to evaluate a priori the most suitable uncertainty modeling approach according to their preferences.

Supervised
thesis

2017

Evaluating agile scheduling methods for a job shop problem

Author
Ricardo de Sá Caetano Ferreira da Cunha

Institution
UP-FEUP

2017

Cost Reductions on Returns: an eTailer’s Perspective

Author
Tomás Palhinhas Cruz Vieira

Institution
UP-FEUP

2017

Otimização de rotas de distribuição: o efeito do combustível

Author
André Cruz Coelho

Institution
UP-FEUP

2017

Um algoritmo adaptativo para o problema robusto de roteamento com retornos

Author
Vítor Emanuel Marques Mendes

Institution
UP-FEUP

2017

On using customer order time windows to optimize online retail inventory management

Author
Jorge Tiago Carneiro Moreira Mendes

Institution
UP-FEUP