Cindy Cristina Pinheiro, C. Fernandes, Silvia Lopes de Sena Taglialenha
{"title":"外包公司车辆路线模拟退火算法","authors":"Cindy Cristina Pinheiro, C. Fernandes, Silvia Lopes de Sena Taglialenha","doi":"10.5747/ce.2019.v11.n3.e280","DOIUrl":null,"url":null,"abstract":": In an increasingly competitive economic environment companies have been invested in innovation and cost reduction. The use of logistics solutions has shown a good alternative to reduce maintenance costs and improving service levels. The use of vehicle routing methods can be considered as one such instrument. In this paper was presented a maximum time-constrained vehicle routing problem, which identifying and implementing in C/C++ an algorithm that uses mathematic programming, heuristic and metaheuristic techniques. The adopted method obtains a solution that reduces eight to six steps performed by the company. In addition, a Simulated Annealing simulation improves 10.71% over an initial solution considered with the next closest item heuristic and 13.80% over an initial solution used in the exact method.","PeriodicalId":30414,"journal":{"name":"Colloquium Exactarum","volume":"77 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"ALGORITMO SIMULATED ANNEALING PARA ROTEIRIZAÇÃO DE VEÍCULOS EM UMA EMPRESA DE OUTSOURCING\",\"authors\":\"Cindy Cristina Pinheiro, C. Fernandes, Silvia Lopes de Sena Taglialenha\",\"doi\":\"10.5747/ce.2019.v11.n3.e280\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": In an increasingly competitive economic environment companies have been invested in innovation and cost reduction. The use of logistics solutions has shown a good alternative to reduce maintenance costs and improving service levels. The use of vehicle routing methods can be considered as one such instrument. In this paper was presented a maximum time-constrained vehicle routing problem, which identifying and implementing in C/C++ an algorithm that uses mathematic programming, heuristic and metaheuristic techniques. The adopted method obtains a solution that reduces eight to six steps performed by the company. In addition, a Simulated Annealing simulation improves 10.71% over an initial solution considered with the next closest item heuristic and 13.80% over an initial solution used in the exact method.\",\"PeriodicalId\":30414,\"journal\":{\"name\":\"Colloquium Exactarum\",\"volume\":\"77 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Colloquium Exactarum\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5747/ce.2019.v11.n3.e280\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Colloquium Exactarum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5747/ce.2019.v11.n3.e280","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ALGORITMO SIMULATED ANNEALING PARA ROTEIRIZAÇÃO DE VEÍCULOS EM UMA EMPRESA DE OUTSOURCING
: In an increasingly competitive economic environment companies have been invested in innovation and cost reduction. The use of logistics solutions has shown a good alternative to reduce maintenance costs and improving service levels. The use of vehicle routing methods can be considered as one such instrument. In this paper was presented a maximum time-constrained vehicle routing problem, which identifying and implementing in C/C++ an algorithm that uses mathematic programming, heuristic and metaheuristic techniques. The adopted method obtains a solution that reduces eight to six steps performed by the company. In addition, a Simulated Annealing simulation improves 10.71% over an initial solution considered with the next closest item heuristic and 13.80% over an initial solution used in the exact method.