OPTIMASI RUTE PENDISTRIBUSIAN BBM MENGGUNAKAN ALGORITMA TABU SEARCH DAN CHEAPEST INSERTION HEURISTIC

Ulfa Is. Abdul, M. R. Katili, D. Wungguli
{"title":"OPTIMASI RUTE PENDISTRIBUSIAN BBM MENGGUNAKAN ALGORITMA TABU SEARCH DAN CHEAPEST INSERTION HEURISTIC","authors":"Ulfa Is. Abdul, M. R. Katili, D. Wungguli","doi":"10.36526/tr.v7i1.2325","DOIUrl":null,"url":null,"abstract":"\n \n \n \nDistribution is an activity carried out on various types of transportation to carry out product marketing to various customers through planning by each company. In distribution, there needs to be systematic planning so as to minimize delays, one of which is the mileage factor. The purpose of this research is to optimize the optimal fuel distribution route at PT. Pertamina (Persero) Gorontalo VII Marketing Unit uses the heuristic method using the Tabu Search and Cheapest Insertion Heuristic algorithms and compares which algorithm is better which can be applied in determining the optimal fuel distribution route. The results showed that the Tabu Search algorithm was better at determining the optimal fuel distribution route with a total distance of 815.2 km, while the Cheapest Insertion Heuristic algorithm produced a total distance of 1039.7 km. \n \n \n \n","PeriodicalId":31699,"journal":{"name":"JMPM Jurnal Matematika dan Pendidikan Matematika","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMPM Jurnal Matematika dan Pendidikan Matematika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36526/tr.v7i1.2325","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Distribution is an activity carried out on various types of transportation to carry out product marketing to various customers through planning by each company. In distribution, there needs to be systematic planning so as to minimize delays, one of which is the mileage factor. The purpose of this research is to optimize the optimal fuel distribution route at PT. Pertamina (Persero) Gorontalo VII Marketing Unit uses the heuristic method using the Tabu Search and Cheapest Insertion Heuristic algorithms and compares which algorithm is better which can be applied in determining the optimal fuel distribution route. The results showed that the Tabu Search algorithm was better at determining the optimal fuel distribution route with a total distance of 815.2 km, while the Cheapest Insertion Heuristic algorithm produced a total distance of 1039.7 km.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用搜索忌证算法和CHEAPEST吸入算法对燃料分配路线的优化
配送是各公司通过策划,在各种运输工具上进行的一种活动,目的是对各种客户进行产品营销。在配送过程中,需要进行系统的规划,以尽量减少延误,其中之一就是里程因素。本研究的目的是优化PT的最优燃料分配路线。Pertamina (Persero) Gorontalo VII Marketing Unit使用启发式方法使用禁忌搜索和最便宜插入启发式算法,并比较哪种算法更好,可以用于确定最优燃料分配路线。结果表明,禁忌搜索算法能较好地确定最优燃油分配路线,总距离为815.2 km,而最便宜插入启发式算法的总距离为1039.7 km。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
审稿时长
10 weeks
期刊最新文献
Analisis Pemetaan Isomorfisma Untuk Menentukan Dimensi Ruang Vektor Ł Perbandingan Metode Exponential Smoothing Event Based dengan Metode Winter Exponential Smoothing pada Peramalan Harga Cabai Merah di Kota Medan Investigasi pemanfaatan geogebra untuk pembelajaran matematika di Indonesia: Sebuah analisis bibliometrik Hubungan self regulated learning dan hasil belajar matematika peserta didik kelas V SDN Ceger 02 Self-Efficacy dan sikap mahasiswa terhadap matematika
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1