不确定项目调度关键链的模糊逻辑和QFD集成

Shih-Ming Yang, Yu-Chuan Liu, Ting-Yu Yen
{"title":"不确定项目调度关键链的模糊逻辑和QFD集成","authors":"Shih-Ming Yang, Yu-Chuan Liu, Ting-Yu Yen","doi":"10.1109/ICSSE.2018.8520264","DOIUrl":null,"url":null,"abstract":"This work aims at integrating fuzzy logic and quality function deployment (QFD) technique to determine the critical chain in a project with uncertainties. The degree of fuzziness of every activity in a project is defined and calculated by QFD so as to (1) evaluate the effects of project uncertainties, (2) select adaptively the fuzzy logic model, and (3) calculate the buffer time of the critical chain. The example of a project with 11 activities facing 6 uncertainties: project time limit, activity begin time, budget, manpower, technical difficulty, and facility requirement is applied to demonstrate the effectiveness of the model integrating fuzzy logic and QFD. Analysis shows that project scheduling by this proposed integration is superior to that by Project Evaluation and Review Technique (PERT) and by the conventional critical chain method. Not only the scheduling is more efficient, but also the buffer time in critical chain can be systematically determined to accommodate the uncertainties.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"284 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Integration of Fuzzy Logic and QFD for Critical Chain in Project Scheduling with Uncertainties\",\"authors\":\"Shih-Ming Yang, Yu-Chuan Liu, Ting-Yu Yen\",\"doi\":\"10.1109/ICSSE.2018.8520264\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work aims at integrating fuzzy logic and quality function deployment (QFD) technique to determine the critical chain in a project with uncertainties. The degree of fuzziness of every activity in a project is defined and calculated by QFD so as to (1) evaluate the effects of project uncertainties, (2) select adaptively the fuzzy logic model, and (3) calculate the buffer time of the critical chain. The example of a project with 11 activities facing 6 uncertainties: project time limit, activity begin time, budget, manpower, technical difficulty, and facility requirement is applied to demonstrate the effectiveness of the model integrating fuzzy logic and QFD. Analysis shows that project scheduling by this proposed integration is superior to that by Project Evaluation and Review Technique (PERT) and by the conventional critical chain method. Not only the scheduling is more efficient, but also the buffer time in critical chain can be systematically determined to accommodate the uncertainties.\",\"PeriodicalId\":431387,\"journal\":{\"name\":\"2018 International Conference on System Science and Engineering (ICSSE)\",\"volume\":\"284 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on System Science and Engineering (ICSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSE.2018.8520264\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE.2018.8520264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文旨在将模糊逻辑和质量功能部署(QFD)技术相结合,以确定具有不确定性的项目中的关键链。通过QFD对项目中各个活动的模糊程度进行定义和计算,从而(1)评价项目不确定性的影响,(2)自适应选择模糊逻辑模型,(3)计算关键链的缓冲时间。以一个项目为例,该项目有11个活动,面临6个不确定因素:项目时限、活动开始时间、预算、人力、技术难度和设备需求,验证了模糊逻辑和QFD相结合的模型的有效性。分析表明,采用该方法的项目调度优于采用项目评估与评审技术(PERT)和传统的关键链方法。不仅可以提高调度效率,而且可以系统地确定关键链的缓冲时间以适应不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Integration of Fuzzy Logic and QFD for Critical Chain in Project Scheduling with Uncertainties
This work aims at integrating fuzzy logic and quality function deployment (QFD) technique to determine the critical chain in a project with uncertainties. The degree of fuzziness of every activity in a project is defined and calculated by QFD so as to (1) evaluate the effects of project uncertainties, (2) select adaptively the fuzzy logic model, and (3) calculate the buffer time of the critical chain. The example of a project with 11 activities facing 6 uncertainties: project time limit, activity begin time, budget, manpower, technical difficulty, and facility requirement is applied to demonstrate the effectiveness of the model integrating fuzzy logic and QFD. Analysis shows that project scheduling by this proposed integration is superior to that by Project Evaluation and Review Technique (PERT) and by the conventional critical chain method. Not only the scheduling is more efficient, but also the buffer time in critical chain can be systematically determined to accommodate the uncertainties.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Fuzzy Risk Assessment Strategy Based on Big Data for Multinational Financial Markets Evaluation of Indoor Positioning Based on iBeacon and Pi-Beacon A Mechanism for Adjustable-Delay-Buffer Selection to Dynamically Control Clock Skew A Mixed Reality System to Improve Walking Experience Intelligent Mobile Robot Controller Design for Hotel Room Service with Deep Learning Arm-Based Elevator Manipulator
×
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