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Master's Dissertation
DOI
10.11606/D.55.2016.tde-05122016-101153
Document
Author
Full name
Henrique Hiroshi Motoyama Watanabe
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2016
Supervisor
Committee
Santos, Maristela Oliveira dos (President)
Costa, Eduardo Fontoura
Nascimento, Mariá Cristina Vasconcelos
Rocco, Cleber Damião
Title in Portuguese
Métodos de solução aplicados ao problema de produção e distribuição
Keywords in Portuguese
Planejamento de produção
Problema integrado de produção e distribuição
Abstract in Portuguese
Neste mestrado estudamos o problema integrado de produção e distribuição (PIPD). Ao resolver o PIPD, tenta-se obter de maneira integrada as decisões de produção, controle de estoque, distribuição e roteamento de veículos. Neste tipo de problema, em cada período, um único ou múltiplos itens são produzidos e distribuídos para os clientes com o objetivo de atender uma determinada demanda a um custo total mínimo. Ou seja, no PIPD deve-se decidir quando e quanto produzir de cada item e as rotas e distribuições de cada veículo tal que o custo final, que inclui custos de produção, estoque e distribuição, seja mínimo. Estudamos o problema e modelo matemático considerado em Armentano et al. (2011). Para tratar o PIPD propomos heurísticas baseadas em programação matemática e geramos instâncias com múltiplos itens para testar o desempenho destas heurísticas. Comparamos os resultados obtidos pelas heurísticas com o solver comercial Cplex. Os resultados mostram que algumas das abordagens propostas obtiveram soluções de boa qualidade considerando as instâncias geradas.
Title in English
Solution methods applied to production and distribution problem
Keywords in English
Integrated production and distribution problem
Supply chain
Abstract in English
In this work, the integrated production and vehicle routing problem (IPVRP) was studied. IPRP is solved by deciding on a integrated way the production, inventory control, distribution and vehicle routing decisions. In this type of problem, in each period, a single or multiple items are produced and distributed to costumers in order to meet a certain demand while minimizing the total cost, i.e., decide when and how much to produce of each item and the routes and distribution for each vehicle such that the final cost, which includes production, inventory and distribution costs is minimal. We considered the problem and mathematical model studied in Armentano et al. (2011). In order to deal with IPRP, heuristics based on mathematical programming were proposed together with multiple items instances to test the performance of those heuristics. We compare their results with the comercial solver Cplex. Results showed that some proposed heuristics obtained good quality solutions considering the generated instances.
 
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Publishing Date
2016-12-05
 
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