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Detalhes

Detalhes

007
Publicações

2022

A Diversity-Based Genetic Algorithm for Scenario Generation

Autores
Oliveira, BB; Carravilla, MA; Oliveira, JF;

Publicação
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Abstract

2022

Merging make-to-stock/make-to-order decisions into sales and operations planning: A multi-objective approach

Autores
Pereira, DF; Oliveira, JF; Carravilla, MA;

Publicação
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

Abstract
With the advent of mass customization and product proliferation, the appearance of hybrid Make-toStock(MTS)/Make-to-Order(MTO) policies arise as a strategy to cope with high product variety maintaining satisfactory lead times. In companies operating under this reality, Sales and Operations Planning (S&OP) practices must be adapted accordingly during the coordinated planning of procurement, production, logistics, and sales activities. This paper proposes a novel S&OP decision-making framework for a flow shop/batch company that produces standard products under an MTS strategy and customized products under an MTO strategy. First, a multi-objective mixed-integer programming model is formulated to characterize the problem. Then, a matrix containing the different strategies a firm in this context may adopt is proposed. This rationale provides a business-oriented approach towards the analysis of different plans and helps to frame the different Pareto-optimal solutions given the priority on MTS or MTO segments and the management positioning regarding cost minimization or service level orientation. The research is based on a real case faced by an electric cable manufacturer. The computational experiments demonstrate the applicability of the proposed methodology. Our approach brings a practical, supply chain-oriented, and mid-term perspective on the study of operations planning policies in MTS/MTO contexts.

2022

A C++ application programming interface for co-evolutionary biased random-key genetic algorithms for solution and scenario generation

Autores
Oliveira, BB; Carravilla, MA; Oliveira, JF; Resende, MGC;

Publicação
OPTIMIZATION METHODS & SOFTWARE

Abstract
This paper presents a C++ application programming interface for a co-evolutionary algorithm for solution and scenario generation in stochastic problems. Based on a two-space biased random-key genetic algorithm, it involves two types of populations that are mutually impacted by the fitness calculations. In the solution population, high-quality solutions evolve, representing first-stage decisions evaluated by their performance in the face of the scenario population. The scenario population ultimately generates a diverse set of scenarios regarding their impact on the solutions. This application allows the straightforward implementation of this algorithm, where the user needs only to define the problem-dependent decoding procedure and may adjust the risk profile of the decision-maker. This paper presents the co-evolutionary algorithm and structures the interface. We also present some experiments that validate the impact of relevant features of the application. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

2022

On-line three-dimensional packing problems: A review of off-line and on-line solution approaches

Autores
Ali, S; Ramos, AG; Carravilla, MA; Oliveira, JF;

Publicação
COMPUTERS & INDUSTRIAL ENGINEERING

Abstract

2022

Mathematical Models for the two-dimensional Variable-Sized Cutting Stock Problem in the Home Textile Industry

Autores
Hadj Salem K.; Silva E.; Oliveira J.F.; Carravilla M.A.;

Publicação
European Journal of Operational Research

Abstract

Teses
supervisionadas

2021

Tactical sales and Operations Planning: quantitative decision-making approaches for integrated planning

Autor
Daniel Filipe Conceição Pereira

Instituição
UP-FEUP

2021

Airport Slot Allocation - instances and resolution methods

Autor
Sofia Sousa Lobo

Instituição
UP-FEUP

2021

A User-centric Approach to Locomotion Supporting Systems

Autor
Diana Alves Lobo Guimarães

Instituição
UP-FEUP

2020

Business Intelligence aplicada à Gestão do Programa de Sapadores Florestais

Autor
Miguel Leal Ferreira de Sousa Freire

Instituição
UP-FEUP

2020

Sistema de apoio à decisão para planeamento de júris de mestrados

Autor
Miguel Martingo Barbosa

Instituição
UP-FEUP