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Master's Dissertation
DOI
https://doi.org/10.11606/D.55.2010.tde-17112010-101418
Document
Author
Full name
Marcio Antonio Ferreira Belo Filho
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2010
Supervisor
Committee
Santos, Maristela Oliveira dos (President)
Meneses, Cláudio Nogueira de
Toledo, Franklina Maria Bragion de
Title in Portuguese
Programação de produção e dimensionamento de lotes para flowshop
Keywords in Portuguese
Dimensionamento de lotes
Flowshop
Programação de produção
Times assíncronos
Abstract in Portuguese
O problema integrado de programação de produção e dimensionamento de lotes em ambiente fowshop consiste em estabelecer tamanhos de lotes de produção e alocar máquinas para processá-los dentro de um horizonte de planejamento, em uma linha de produção com máquinas dispostas em série. O problema considera que a demanda deve ser atendida sem atrasos, que a capacidade das máquinas deve ser respeitada e que as preparações de máquinas são dependentes da sequência de produção e preservadas entre períodos do horizonte de planejamento. O objetivo é determinar uma programação de produção visando minimizar os custos de preparação de máquina, de produção e de estoque. Um modelo matemático da literatura é apresentado assim como procedimentos para obtenção de limitantes inferiores. Além disso, abordamos o problema por meio de distintas versões da metaheurística Times Assíncronos (A-Teams). Os procedimentos propostos foram comparados com heurísticas da literatura baseadas em Programação Inteira Mista (MIP). As metodologias desenvolvidas e os resultados obtidos são apresentados nesta dissertação
Title in English
Production scheduling and lot sizing for flowshop
Keywords in English
Assunchronous teams
Flowshop
Lot sizing
Production scheduling
Abstract in English
The integrated production scheduling and lot sizing problem in a fowshop environment consists in establishing production lot sizes and alocate machines to process them inside a planning horizon, in a production line with machines arranged in series. The problem considers that demand must be met without backlogging, the capacity of the machines must be respected, machine setup are sequence-dependent and preserved between periods of the planning horizon. The objective is to determine a production schedule to minimize the setup, production and inventory costs. A mathematical model from the literature is presented as well as procedures for obtaining lower bounds. In addition, we propose to address the problem through different versions of the metaheuristic Asynchronous Teams (A-Teams). The procedures were compared with literature heuristics based on Mixed Integer Programming (MIP). The developed methodologies and the obtained results are presented in this dissertation
 
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Defesa_Marcio.pdf (788.16 Kbytes)
Publishing Date
2010-11-17
 
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