Buffer Sizing in CCPM Portfolios with Different Resource Capacities

M. Ghaffari, M. Emsley
{"title":"Buffer Sizing in CCPM Portfolios with Different Resource Capacities","authors":"M. Ghaffari, M. Emsley","doi":"10.4018/IJITPM.2017070103","DOIUrl":null,"url":null,"abstract":"Although buffer sizing is one of the most investigated subjects in Critical Chain Project Management CCPM, almost all the focus has been on its implications for single-project environments. Among the entire invented buffer sizing methods, the cut and paste method C&PM is the most accepted by practitioners and long-established CCPM software packages. This study concentrates on the use of C&PM in CCPM portfolios with different resource capacities with the aim of examining the performance of this method and identifying the most appropriate sizes of project and feeding buffers. This aim is pursued through considering ten different levels of resource capacity, conducting Monte Carlo simulations of randomly generated project data and comparing the results with deterministic duration values of the same portfolios with 30%, 40% and 50% buffer sizes. As a significant contribution, this study recommends what buffer sizes should be allotted in CCPM portfolios with different resource capacities.","PeriodicalId":375999,"journal":{"name":"Int. J. Inf. Technol. Proj. Manag.","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Inf. Technol. Proj. Manag.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJITPM.2017070103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Although buffer sizing is one of the most investigated subjects in Critical Chain Project Management CCPM, almost all the focus has been on its implications for single-project environments. Among the entire invented buffer sizing methods, the cut and paste method C&PM is the most accepted by practitioners and long-established CCPM software packages. This study concentrates on the use of C&PM in CCPM portfolios with different resource capacities with the aim of examining the performance of this method and identifying the most appropriate sizes of project and feeding buffers. This aim is pursued through considering ten different levels of resource capacity, conducting Monte Carlo simulations of randomly generated project data and comparing the results with deterministic duration values of the same portfolios with 30%, 40% and 50% buffer sizes. As a significant contribution, this study recommends what buffer sizes should be allotted in CCPM portfolios with different resource capacities.
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
不同资源容量CCPM投资组合的缓冲规模
虽然缓冲区大小是关键链项目管理(CCPM)中研究最多的主题之一,但几乎所有的焦点都集中在其对单个项目环境的影响上。在所有发明的缓冲区大小调整方法中,剪切粘贴法C&PM是最被实践者接受的方法,也是历史悠久的CCPM软件包。本研究的重点是在不同资源能力的CCPM组合中使用C&PM,目的是检查该方法的性能,并确定最合适的项目规模和供给缓冲。这一目标是通过考虑十种不同级别的资源容量,对随机生成的项目数据进行蒙特卡罗模拟,并将结果与具有30%,40%和50%缓冲大小的相同投资组合的确定性持续时间值进行比较来实现的。作为一项重要贡献,本研究建议在不同资源能力的CCPM投资组合中应分配什么缓冲大小。
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
Adapting P2M Framework for Innovation Program Management Through a Lean-Agile Approach Mining Project Failure Indicators From Big Data Using Machine Learning Mixed Methods A Proposal for Research on the Application of AI/ML in ITPM: Intelligent Project Management "Soar" or "Sore": Examining and Reflecting on Bank Performance During Global Financial Crisis - An Indian Scenario FDI Inflow in BRICS and G7: An Empirical Analysis
×
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