Determinants of Automated Teller Machine Loading Demand Requirements in Sri Lankan Cash Supply Chains

K. Perera, Uthpalee Hewage
{"title":"Determinants of Automated Teller Machine Loading Demand Requirements in Sri Lankan Cash Supply Chains","authors":"K. Perera, Uthpalee Hewage","doi":"10.1109/POMS.2018.8629478","DOIUrl":null,"url":null,"abstract":"Physical cash is a regular exchange medium and the most liquid asset, which is accepted all around the globe. It is vital to study on cash logistics in developing countries with the continuous expansion of commercial bank branches and Automated Teller Machine (ATM) network [8]. Cash supply chain is a valuable product flowing supply chain with specific features. The Central bank Statistics of Sri Lanka (2017), indicates exponential growth in ATM transaction value from 2013 to 2017 and 8.58% increment of ATM terminals in 2017 compared to 2016. In Sri Lanka, few types of research have been carried out in the banking sector. Through those researches, ATM cash logistics operations are not examined well. In the present study, the ATM is considered as a goods storage warehouse. To fulfill this gap and answer the main question of what is the most suitable forecasting technique to predict ATM cash demand in Sri Lanka, this research has been conducted. The process began with a thorough literature survey and direct interviews with bank managers to collect data related to the determinants that are affecting the cash withdrawal fluctuations in Sri Lanka. With the shortlisted factors, based on the survey conducted among ATM operating staff, the customer survey questionnaire is designed. Location of the ATM, income status of the user, day of the week, salary day, being a rainy day and being a holiday are the examined determinants of the customer survey. The entire research is conducted on customer perspective. Out of Regression and time series analysis techniques, time series analysis technique is recognized as the best method to develop a forecasting model for a selected ATM.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Production and Operations Management Society (POMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/POMS.2018.8629478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Physical cash is a regular exchange medium and the most liquid asset, which is accepted all around the globe. It is vital to study on cash logistics in developing countries with the continuous expansion of commercial bank branches and Automated Teller Machine (ATM) network [8]. Cash supply chain is a valuable product flowing supply chain with specific features. The Central bank Statistics of Sri Lanka (2017), indicates exponential growth in ATM transaction value from 2013 to 2017 and 8.58% increment of ATM terminals in 2017 compared to 2016. In Sri Lanka, few types of research have been carried out in the banking sector. Through those researches, ATM cash logistics operations are not examined well. In the present study, the ATM is considered as a goods storage warehouse. To fulfill this gap and answer the main question of what is the most suitable forecasting technique to predict ATM cash demand in Sri Lanka, this research has been conducted. The process began with a thorough literature survey and direct interviews with bank managers to collect data related to the determinants that are affecting the cash withdrawal fluctuations in Sri Lanka. With the shortlisted factors, based on the survey conducted among ATM operating staff, the customer survey questionnaire is designed. Location of the ATM, income status of the user, day of the week, salary day, being a rainy day and being a holiday are the examined determinants of the customer survey. The entire research is conducted on customer perspective. Out of Regression and time series analysis techniques, time series analysis technique is recognized as the best method to develop a forecasting model for a selected ATM.
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
斯里兰卡现金供应链中自动柜员机装载需求需求的决定因素
实物现金是一种常规的交易媒介,也是流动性最强的资产,在全球范围内都被接受。随着商业银行网点和自动柜员机(ATM)网络的不断扩大,研究发展中国家的现金物流变得至关重要[8]。现金供应链是具有特定特征的有价值的产品流动供应链。斯里兰卡中央银行统计数据(2017)表明,2013年至2017年ATM交易价值呈指数级增长,2017年ATM终端与2016年相比增长8.58%。在斯里兰卡,对银行部门进行的研究种类很少。通过这些研究,并没有很好地考察ATM现金物流运作。在本研究中,自动柜员机被认为是一个货物存储仓库。为了满足这一差距,并回答什么是最合适的预测技术来预测ATM现金需求在斯里兰卡的主要问题,这项研究已经进行。这一进程首先进行了全面的文献调查和与银行经理的直接访谈,以收集与影响斯里兰卡现金提取波动的决定因素有关的数据。根据筛选出来的因素,在对ATM机操作人员进行调查的基础上,设计了客户调查问卷。自动取款机的位置、用户的收入状况、星期几、发工资的日子、是下雨天还是假日是客户调查的决定因素。整个研究是从客户的角度进行的。在回归分析技术和时间序列分析技术中,时间序列分析技术被认为是建立某一特定ATM预测模型的最佳方法。
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
期刊最新文献
POMS 2018 Reviewer Panel A Sustainable Vehicle Routing Problem for Indian Agri-Food Supply Chain Network Design Modelling Sustainable Manufacturing practices for plastic part manufacturing organization using Interpretive Structural Modeling A novel framework and effective scheduling of cross-docking center for multi-objective truck Scheduling Problem Factors Affecting the Sustainability of SME Industries: A Case Study in the Southern Province of Sri Lanka
×
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:604180095
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