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Abstract(s)
Atualmente, as empresas da indústria automóvel enfrentam desafios em processos presentes no seu departamento logístico, nomeadamente em logística interna. Muitos desses desafios resultam da ausência de regras para abastecimento de clientes ou máquinas no transporte de mercadorias, tanto em rotas externas como em rotas internas. Estas dificuldades, geralmente, resultam em custos associados ao tempo perdido durante o transporte e custos associados à produção perdida durante esse período temporal.
Neste sentido, a presente dissertação foi realizada em contexto industrial na empresa Continental Mabor, mais propriamente no Departamento IV - Vulcanização. Como forma de melhorar a lógica de transporte atual, que se apresenta pouco eficiente no abastecimento das máquinas que compõem a vulcanização, foi desenvolvida uma ferramenta de apoio à decisão baseada num modelo matemático de programação inteira.
A ferramenta de apoio à decisão utilizou dados provenientes planos de produção, considerando quatro dias de dezembro de 2017 e um dia de 2018. Para esse período, foi possível otimizar a quantidade de veículos necessários e minimizar ou, para alguns casos eliminar, a paragem das máquinas por falta de pneus devido a atrasos no abastecimento. Foi ainda possível gerar automaticamente representações gráficas das rotas realizadas por cada veículo. De uma forma geral, a ferramenta de apoio à decisão provou ser eficiente e permitiu ainda apresentar algumas sugestões de melhoria relativas ao transporte de pneus. O modelo matemático foi resolvido utilizando o software IBM ILOG CPLEX 12.0.8 e as otas geradas foram gravadas em ficheiros de texto. Esses ficheiros foram posteriormente interpretados utilizando o software QTikZ.
Nowadays, companies in the automotive industry face challenges in processes related to their logistics department, mainly in in-bound logistics. Those challenges are the result of the absence of rules for the transportation of goods to supply clients or machines, in external and internal routes. Normally, this challenges result in costs associated to the time lost during the transportation and costs associated with the loss of production during that time. In this sense, this dissertation was elaborated in an industrial context at Continental Mabor, specifically in the Department IV – Vulcanization. To improve the in-bound logistics in the transportation, that’s, currently, not very efficient, it was developed a decision support tool based on a mathematical model of integer programming. The decision support tool used data from two production plans considering four days from 2017 and one day from 2018. For those days, it was possible to optimize the number of vehicles needed and to minimize, and for some cases eliminate, the stoppage of the machines due to lack of tires to consume caused delays in the transportation. It was also possible to automatically create a graphical representation of the routes travelled by each vehicle. In a general manner, the decision support tool proved to be efficient and allowed for the suggestion of improvements to the transportation of tires. The mathematical model developed was resolved using the software IBM ILOG CPLEX 12.0.8 and the routes generated were saved in text files, to be interpreted using the software QTikZ.
Nowadays, companies in the automotive industry face challenges in processes related to their logistics department, mainly in in-bound logistics. Those challenges are the result of the absence of rules for the transportation of goods to supply clients or machines, in external and internal routes. Normally, this challenges result in costs associated to the time lost during the transportation and costs associated with the loss of production during that time. In this sense, this dissertation was elaborated in an industrial context at Continental Mabor, specifically in the Department IV – Vulcanization. To improve the in-bound logistics in the transportation, that’s, currently, not very efficient, it was developed a decision support tool based on a mathematical model of integer programming. The decision support tool used data from two production plans considering four days from 2017 and one day from 2018. For those days, it was possible to optimize the number of vehicles needed and to minimize, and for some cases eliminate, the stoppage of the machines due to lack of tires to consume caused delays in the transportation. It was also possible to automatically create a graphical representation of the routes travelled by each vehicle. In a general manner, the decision support tool proved to be efficient and allowed for the suggestion of improvements to the transportation of tires. The mathematical model developed was resolved using the software IBM ILOG CPLEX 12.0.8 and the routes generated were saved in text files, to be interpreted using the software QTikZ.
Description
Keywords
Logística Modelo Transporte Rotas Veículos Vulcanização Logistics Model Transportation Routes Vehicles Vulcanization