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Detalhes

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Publicações

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

2019

Tackling perishability in multi-level process industries

Autores
Wei, WC; Amorim, P; Guimaraes, L; Almada Lobo, B;

Publicação
International Journal of Production Research

Abstract
The classical multi-level lot-sizing and scheduling problem formulations for process industries rarely address perishability issues, such as limited shelf lives of intermediate products. In some industries, ignoring this specificity may result in severe losses. In this paper, we start by extending a classical multi-level lot-sizing and scheduling problem formulation (MLGLSP) to incorporate perishability issues. We further demonstrate that with the objective of minimising the total costs (purchasing, inventory and setup), the production plans generated by classical models are often infeasible under a setting with perishable products. The model distinguishes different perishability characteristics of raw materials, intermediates and end products according to various industries. Finally, we provide quantitative insights on the importance of considering perishability for different production settings when solving integrated production planning and scheduling problems. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

2018

Allocating products on shelves under merchandising rules: Multi-level product families with display directions

Autores
Bianchi Aguiar, T; Silva, E; Guimardes, L; Carravilla, MA; Oliveira, JF;

Publicação
Omega (United Kingdom)

Abstract
Retailers’ individual products are categorized as part of product families. Merchandising rules specify how the products should be arranged on the shelves using product families, creating more structured displays capable of increasing the viewers’ attention. This paper presents a novel mixed integer programming formulation for the Shelf Space Allocation Problem considering two innovative features emerging from merchandising rules: hierarchical product families and display directions. The formulation uses single commodity flow constraints to model product sequencing and explores the product families’ hierarchy to reduce the combinatorial nature of the problem. Based on the formulation, a mathematical programming-based heuristic was also developed that uses product families to decompose the problem into a sequence of sub-problems. To improve performance, its original design was adapted following two directions: recovery from infeasible solutions and reduction of solution times. A new set of real case benchmark instances is also provided, which was used to assess the formulation and the matheuristic. This approach will allow retailers to efficiently create planograms capable of following merchandising rules and optimizing shelf space revenue. © 2017 Elsevier Ltd

2018

The time window assignment vehicle routing problem with product dependent deliveries

Autores
Neves Moreira, F; da Silva, DP; Guimaraes, L; Amorim, P; Almada Lobo, B;

Publicação
Transportation Research Part E: Logistics and Transportation Review

Abstract

2017

Tactical production and distribution planning with dependency issues on the production process

Autores
Wei, WC; Guimaraes, L; Amorim, P; Almada Lobo, B;

Publicação
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

Abstract
Tactical production-distribution "planning models have attracted a great deal of attention in the past decades. In these models, production and distribution decisions are considered simultaneously such that the combined plans are more advantageous than the plans resolved in a hierarchical planning process. We consider a two-stage production process, where in the first stage raw materials are transformed into continuous resources that feed the discrete production of end products in the second stage. Moreover, the setup times and costs of resources depend on the sequence in which they are processed in the first stage. The minimum scheduling unit is the product family which consists of products sharing common resources and manufacturing processes. Based on different mathematical modelling approaches to the production in the first stage, we develop a sequence-oriented formulation and a product-oriented formulation, and propose decomposition-based heuristics to solve this problem efficiently. By considering these dependencies arising in practical production processes, our model can be applied to various industrial cases, such as the beverage industry or the steel industry. Computation tests on instances from an industrial application are provided at the end of the paper.

Teses
supervisionadas

2019

Desenvolvimentos de um sistema de apoio à decisão para a manutenção preditiva dos ativos de uma subestação elétrica

Autor
João Alberto Ferreira Fidalgo Barbosa da Silva

Instituição
UP-FEUP

2019

Decision Making Solution for Dynamic Stock Allocation

Autor
Vasco Lencastre de Faria

Instituição
UP-FEUP

2019

Reverse logistics optimization model for a multi-warehouse network

Autor
Beatriz de Azevedo Guerner

Instituição
UP-FEUP

2019

Asset management optimization: Integrated Operations and Maintenance (O&M) Planning

Autor
Maria Alexandra Ramalho de Oliveira

Instituição
UP-FEUP

2019

Reinforcement Learning para Problemas de Otimização

Autor
Sérgio António Moreira Fernandes

Instituição
UP-FEUP