{"title":"针对具有时间窗的异构车队路径问题,采用两阶段禁忌搜索设计路径分配,以实现出行距离最小化","authors":"Citra Septi Brilliane, A. Ridwan, R. Aurachman","doi":"10.25124/ijies.v2i02.58","DOIUrl":null,"url":null,"abstract":"PT. XYZ is a pasteurization milk processing company that produce milk drink from pure cow milk. PT. XYZ don’t sell their product directly to end user, instead they distribute their product to many companies which serve milk for their employees or operators in lunch time. So, their customer is mostly a manufacture company from various kinds of industry. They have about 40 customers and most of them are outside Bandung. However, the delivery may not be done as planned. The average on time delivery is around 96%. it is below PT. XYZ target which is 98%. The impact of the delay itself is vary between customers. Because when delay occur, each customer has their own regulation that has been settled in agreement contract. Based on the delay recapitulation above, there are several factors that caused this problem. Delay in departure is the most influential factors. It is because PT. XYZ don’t have fixed schedule of delivery and they miscalculate the departure time because of improper route determination that also leads to longer travel time. This case is categorized as Vehicle Routing Problem with Heterogeneous Fleet and Time Window (VRPHFTW) that will be solved using one of meta-heuristics algorithm which is Two Phase Tabu Search Algorithm to minimize travel distance. In the end, the travel distance can be minimized 19.48%.","PeriodicalId":217640,"journal":{"name":"International Journal of Innovation in Enterprise System","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"DESIGNING ROUTE DISTRIBUTION USING TWO PHASE TABU SEARCH ON HETEROGENOUS FLEET VEHICLE ROUTING PROBLEM WITH TIME WINDOW IN PT. XYZ TO MINIMIZE TRAVEL DISTANCE\",\"authors\":\"Citra Septi Brilliane, A. Ridwan, R. Aurachman\",\"doi\":\"10.25124/ijies.v2i02.58\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PT. XYZ is a pasteurization milk processing company that produce milk drink from pure cow milk. PT. XYZ don’t sell their product directly to end user, instead they distribute their product to many companies which serve milk for their employees or operators in lunch time. So, their customer is mostly a manufacture company from various kinds of industry. They have about 40 customers and most of them are outside Bandung. However, the delivery may not be done as planned. The average on time delivery is around 96%. it is below PT. XYZ target which is 98%. The impact of the delay itself is vary between customers. Because when delay occur, each customer has their own regulation that has been settled in agreement contract. Based on the delay recapitulation above, there are several factors that caused this problem. Delay in departure is the most influential factors. It is because PT. XYZ don’t have fixed schedule of delivery and they miscalculate the departure time because of improper route determination that also leads to longer travel time. This case is categorized as Vehicle Routing Problem with Heterogeneous Fleet and Time Window (VRPHFTW) that will be solved using one of meta-heuristics algorithm which is Two Phase Tabu Search Algorithm to minimize travel distance. In the end, the travel distance can be minimized 19.48%.\",\"PeriodicalId\":217640,\"journal\":{\"name\":\"International Journal of Innovation in Enterprise System\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Innovation in Enterprise System\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25124/ijies.v2i02.58\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Innovation in Enterprise System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25124/ijies.v2i02.58","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
PT. XYZ是一家巴氏杀菌牛奶加工公司,生产纯牛奶饮料。PT. XYZ不直接向最终用户销售他们的产品,而是将他们的产品分销给许多公司,这些公司在午餐时间为他们的员工或操作员提供牛奶。因此,他们的客户大多是来自各行各业的制造公司。他们有大约40个客户,其中大多数都在万隆以外。但是,交付可能不会按计划完成。平均准时交货率约为96%。它低于PT. XYZ目标,即98%。延迟本身的影响因客户而异。因为当延迟发生时,每个客户都有自己的规定,并在协议合同中得到解决。根据上面的延迟概述,有几个因素导致了这个问题。出发延误是影响最大的因素。这是因为PT. XYZ没有固定的交货时间表,由于路线确定不当,他们错误地计算了出发时间,这也导致了更长的旅行时间。这种情况被归类为具有异构车队和时间窗口的车辆路径问题(VRPHFTW),该问题将使用一种元启发式算法,即两阶段禁忌搜索算法来最小化行驶距离。最终使行程距离缩短19.48%。
DESIGNING ROUTE DISTRIBUTION USING TWO PHASE TABU SEARCH ON HETEROGENOUS FLEET VEHICLE ROUTING PROBLEM WITH TIME WINDOW IN PT. XYZ TO MINIMIZE TRAVEL DISTANCE
PT. XYZ is a pasteurization milk processing company that produce milk drink from pure cow milk. PT. XYZ don’t sell their product directly to end user, instead they distribute their product to many companies which serve milk for their employees or operators in lunch time. So, their customer is mostly a manufacture company from various kinds of industry. They have about 40 customers and most of them are outside Bandung. However, the delivery may not be done as planned. The average on time delivery is around 96%. it is below PT. XYZ target which is 98%. The impact of the delay itself is vary between customers. Because when delay occur, each customer has their own regulation that has been settled in agreement contract. Based on the delay recapitulation above, there are several factors that caused this problem. Delay in departure is the most influential factors. It is because PT. XYZ don’t have fixed schedule of delivery and they miscalculate the departure time because of improper route determination that also leads to longer travel time. This case is categorized as Vehicle Routing Problem with Heterogeneous Fleet and Time Window (VRPHFTW) that will be solved using one of meta-heuristics algorithm which is Two Phase Tabu Search Algorithm to minimize travel distance. In the end, the travel distance can be minimized 19.48%.