{"title":"基于动态系统模型的雅加达港国际集装箱码头国家物流生态系统实施停留时间分析","authors":"Ridho Hans Gurning, Achmad Riadi","doi":"10.20884/1.oa.2022.18.s1.973","DOIUrl":null,"url":null,"abstract":"Efficient dwelling time loading and unloading at the port has been widely done. Behind this research was carried out the implementation of the National Logistics Ecosystem (NLE) by using a dynamic system to reduce dwelling loading and unloading time at the Port of Jakarta International Container Terminal. The purpose of research were to find out the development of dynamic system models and the impact of NLE implementation in reducing dwelling time. This research method used dynamic system models and validation tests with behavior pattern tests. The validation results of the dynamic system model were obtained dwelling time between 2.79 - 4.56 days, mean error by 3% and standard deviation error by 11% and the implementation of NLE caused a decrease in dwelling time between 0.96 - 2.30 days, resulting in a decrease in dwelling time by 70%. The results of simulated container flows between 120,909 - 195,212 containers, mean error by 0% and standard deviation error by 19% with the application of NLE container flows between 132,952 - 200,077 containers. The results of the simulation of unloading quantity of 67,295 – 103,342 TEU's, mean error by 1% and standard deviation error by 24% with the application of NLE between 86,169 – 108,032 TEU's, average – average of 96,712 TEU's / month, there was an increase in the quantity of unloading by 130 TEU's / month. The implementation of NLE can be applied to port operationsKeywords: Dwelling Time, Port, National Logistic Ecosystem, Dynamic System Model ","PeriodicalId":31102,"journal":{"name":"OmniAkuatika","volume":"21 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dwelling Time Analysis Using Dynamic System Model in the Implementation of National Logistics Ecosystem at Port Jakarta International Container Terminal\",\"authors\":\"Ridho Hans Gurning, Achmad Riadi\",\"doi\":\"10.20884/1.oa.2022.18.s1.973\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Efficient dwelling time loading and unloading at the port has been widely done. Behind this research was carried out the implementation of the National Logistics Ecosystem (NLE) by using a dynamic system to reduce dwelling loading and unloading time at the Port of Jakarta International Container Terminal. The purpose of research were to find out the development of dynamic system models and the impact of NLE implementation in reducing dwelling time. This research method used dynamic system models and validation tests with behavior pattern tests. The validation results of the dynamic system model were obtained dwelling time between 2.79 - 4.56 days, mean error by 3% and standard deviation error by 11% and the implementation of NLE caused a decrease in dwelling time between 0.96 - 2.30 days, resulting in a decrease in dwelling time by 70%. The results of simulated container flows between 120,909 - 195,212 containers, mean error by 0% and standard deviation error by 19% with the application of NLE container flows between 132,952 - 200,077 containers. The results of the simulation of unloading quantity of 67,295 – 103,342 TEU's, mean error by 1% and standard deviation error by 24% with the application of NLE between 86,169 – 108,032 TEU's, average – average of 96,712 TEU's / month, there was an increase in the quantity of unloading by 130 TEU's / month. The implementation of NLE can be applied to port operationsKeywords: Dwelling Time, Port, National Logistic Ecosystem, Dynamic System Model \",\"PeriodicalId\":31102,\"journal\":{\"name\":\"OmniAkuatika\",\"volume\":\"21 6\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"OmniAkuatika\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20884/1.oa.2022.18.s1.973\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"OmniAkuatika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20884/1.oa.2022.18.s1.973","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
高效的港口停留时间装卸已被广泛采用。在这项研究背后,通过使用动态系统来减少雅加达国际集装箱码头的住宅装卸时间,实施了国家物流生态系统(NLE)。研究的目的是找出动态系统模型的发展和NLE的实施对减少居住时间的影响。该研究方法采用动态系统模型和行为模式验证测试。动态系统模型的验证结果为:停留时间为2.79 ~ 4.56天,平均误差为3%,标准差误差为11%,NLE的实施使停留时间减少了0.96 ~ 2.30天,停留时间减少了70%。应用NLE的集装箱流量为132,952 - 200,077个集装箱,模拟的集装箱流量为120,909 - 195,212个集装箱,平均误差为0%,标准差误差为19%。应用NLE法模拟卸船量为67,295 - 103,342 TEU,平均误差为1%,标准差为24%,平均误差为86,169 - 108,032 TEU,平均 -平均为96,712 TEU /月,卸船量增加130 TEU /月。NLE的实施可以应用于港口运营。关键词:停留时间,港口,国家物流生态系统,动态系统ModelÂ
Dwelling Time Analysis Using Dynamic System Model in the Implementation of National Logistics Ecosystem at Port Jakarta International Container Terminal
Efficient dwelling time loading and unloading at the port has been widely done. Behind this research was carried out the implementation of the National Logistics Ecosystem (NLE) by using a dynamic system to reduce dwelling loading and unloading time at the Port of Jakarta International Container Terminal. The purpose of research were to find out the development of dynamic system models and the impact of NLE implementation in reducing dwelling time. This research method used dynamic system models and validation tests with behavior pattern tests. The validation results of the dynamic system model were obtained dwelling time between 2.79 - 4.56 days, mean error by 3% and standard deviation error by 11% and the implementation of NLE caused a decrease in dwelling time between 0.96 - 2.30 days, resulting in a decrease in dwelling time by 70%. The results of simulated container flows between 120,909 - 195,212 containers, mean error by 0% and standard deviation error by 19% with the application of NLE container flows between 132,952 - 200,077 containers. The results of the simulation of unloading quantity of 67,295 – 103,342 TEU's, mean error by 1% and standard deviation error by 24% with the application of NLE between 86,169 – 108,032 TEU's, average – average of 96,712 TEU's / month, there was an increase in the quantity of unloading by 130 TEU's / month. The implementation of NLE can be applied to port operationsKeywords: Dwelling Time, Port, National Logistic Ecosystem, Dynamic System ModelÂ