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• W2157492907 abstract "Este artigo trata do problema de roteirizacao periodica, uma generalizacao do problema classico de roteirizacao de veiculos. Neste problema, os pontos a serem atendidos podem ter diferentes frequencias de visitas e a roteirizacao deve considerar um periodo de planejamento. Portanto, e preciso decidir quais sao os melhores dias de visita para cada ponto (respeitando sua frequencia de visitas), para que a roteirizacao seja otimizada para todo o horizonte de planejamento. Este problema ocorre no contexto da logistica inbound na industria automobilistica. Neste caso, nao so os roteiros de coleta devem ser determinados como tambem os dias em que cada fornece- dor pode ser visitado, dado que os diferentes fornecedores podem ter diferentes frequencias. Com a finalidade de explorar novas abor- dagens para este tipo de problema de maneira que houvesse um aumento na qualidade de solucoes e diminuicao do tempo de proces- samento computacional, sao propostas tres estrategias heuristicas de solucao, baseadas em insercao, GRASP e algoritmos geneticos. As estrategias foram implementadas e testadas para problemas encontrados na literatura, bem como problemas gerados aleatoriamente. Abstract: This article deals with the period vehicle routing problem, which can be viewed as a generalization of the classical vehicle routing problem. In this problem, points to be serviced may have different frequencies and the routing is accomplished over a given planning horizon. Thus, one must decide which are the best days to visit each point (respecting its given frequency), so that the routing over the overall planning horizon is optimized. This problem arises in the context of inbound logistics in the automotive industry. In this case, pick-up routes should be determined as well as the days each supplier must be visited, given that the different suppliers may have different frequencies. To explore new approaches to this problem, aiming to improved solutions and reduced CPU time, three new heuristics are proposed, based on GRASP and genetic algorithm. The heuristics were implemented and tested against problems found in the literature, as well as in randomly generated problems." @default.
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• W2157492907 date "2015-10-21" @default.
• W2157492907 modified "2023-09-26" @default.
• W2157492907 title "O problema de roteirização periódica de veículos." @default.
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