Thèse de Doctorat
DOI
Document
Auteur
Nom complet
Flaviana Moreira de Souza Amorim
Unité de l'USP
Domain de Connaissance
Date de Soutenance
Editeur
São Carlos, 2019
Directeur
Jury
Toledo, Cláudio Fabiano Motta (Président)
Arroyo, José Elias Claudio
Santos, Maristela Oliveira dos
Silva, Carlos Alexandre
Titre en portugais
Modelos matemáticos para planejamento da produção em indústrias de embalagens de vidro
Mots-clés en portugais
Heurísticas
Meta-heurísticas
Modelagem matemática
Planejamento da produção
Problemas nas indústrias de embalagens de vidro
Resumé en portugais
Titre en anglais
Mathematical models for production planning in the glass container industry problems
Mots-clés en anglais
Glass container industry problems
Heuristics
Mathematical modeling
Meta-heuristics
Production planning
Resumé en anglais
This doctoral dissertation presents mathematical models of lot-sizing problems for production planning in the glass containers industry, which are essential in any production chain, as they are responsible for protecting and conserving products (food and beverages). In the scientific literature, studies addressing combined problems of batch sizing and production planning in glass containers industries are rare. In order to fill this gap, this thesis aims to propose novel models and resolution methods applicable to problems in the glass containers industry. Thus, we propose two models based on real problems for the construction or remodelling of the furnace (s), called New Furnace Installation Problem and Multiple Furnace Installation Problem, which verify fusibility and configurations of installed machines. We developed two other models from case studies regarding the planning and control of the production of thermos vials. In the first study, we consider the maximum net production; in the second, we minimize the set-up. Both cases reflect the reality of a factory. The complexity of these models contributes to the use of heuristic and metaheuristic methods as techniques for their resolution. However, we also consider the evaluation of the association of these methods with the use of mathematical programming. For this, we propose mathematical models within the context of the considered industries. Thus, a Greedy Filter heuristic and metaheuristics such as the Simple Genetic Algorithm, the Multi-Population Genetic Algorithm and the Modified Genetic Algorithm are used to determine the integer variables present in mathematical models. Besides, we use an exact method from CPLEX tool to determine continuous variables. The studies are conducted from data provided by industries located in Brazil and Portugal. Therefore, the results collaborate with state of the art in this research area and with the industrial glass containers manufacturing process.

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Date de Publication
2019-08-27

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