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Master's Dissertation
DOI
https://doi.org/10.11606/D.55.2017.tde-27092017-084643
Document
Author
Full name
Rafael Soares Ribeiro
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2017
Supervisor
Committee
Santos, Maristela Oliveira dos (President)
Andretta, Marina
Ferreira, Deisemara
Nascimento, Mariá Cristina Vasconcelos
Title in Portuguese
Problema de dimensionamento e sequenciamento de lotes em linhas paralelas: uma aplicação em uma indústria de alimentos 
Keywords in Portuguese
ALNS
Dimensionamento de lotes
Máquinas paralelas
Perecibilidade
Sequenciamento
Abstract in Portuguese
Nessa dissertação apresentamos um problema de programação da produção, motivado por uma indústria alimentícia caracterizada pela perecibilidade dos produtos, sequenciamento da produção dos lotes e pela necessidade de sincronização de recursos escassos para operação das linhas de produção. Em indústrias desse ramo, existem altos custos associados a estocagem dos produtos, a fim de evitar sua perda, de modo que é essencial a boa gestão dos processos industriais e do estoque. Modelos matemáticos de programação inteira mista foram desenvolvidos para tratar o problema, bem como o estudo da inclusão de diversas restrições da literatura para o tratamento da perecibilidade. Testes computacionais foram realizados para as validações dos modelos matemáticos, entretanto, devido à dificuldade de determinar soluções de boa qualidade pelo solver de otimização, foram propostos métodos heurísticos baseados na formulação matemática. Com o objetivo de mostrar o desempenho das heurísticas, comparamos as suas performances na resolução de instâncias da literatura e exemplares baseados no cenário produtivo da indústria com os resultados do solver.
Title in English
Lot sizing and scheduling in parallel lines: a application in a food industry
Keywords in English
ALNS
Lot sizing
Parallel Machines
Perishability
Scheduling
Abstract in English
In this dissertation we present a lot sizing and scheduling problem motivated by a food industry characterized by the perishability of the products, sequencing the production of the lots and by the need of synchronization of scarce resources for the operation of the production lines. In this type of industry, there are high costs associated with stocking the products in order to avoid their loss, so that good management of industrial processes and inventory is essential. Mathematical models of mixed integer programming were developed to treat the problem, as well as the study of the inclusion of several restrictions of the literature for the treatment of perishability. Computational tests were performed for the validations of the mathematical models, however, due to the difficulty of determining solutions of good quality by the optimization solver, heuristic methods based on the mathematical formulation were proposed. In order to show the performance of the heuristics, we compare their performances in solving instances of the literature and exemplars based on the productive scenario of the industry with the results of solver.
 
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Publishing Date
2017-09-27
 
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