Early-warning performance monitoring system (EPMS) using the business information of a project
DC Field | Value | Language |
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dc.contributor.author | Kim, Chang-Won | - |
dc.contributor.author | Yoo, Wi Sung | - |
dc.contributor.author | Lim, Hyunsu | - |
dc.contributor.author | Yu, Ilhan | - |
dc.contributor.author | Cho, Hunhee | - |
dc.contributor.author | Kang, Kyung-In | - |
dc.date.accessioned | 2021-09-02T09:15:48Z | - |
dc.date.available | 2021-09-02T09:15:48Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2018-07 | - |
dc.identifier.issn | 0263-7863 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/74473 | - |
dc.description.abstract | An early-warning performance monitoring system (EPMS) is proposed to objectively measure and monitor the performance of a project for early detection of inherent poor performance problems. The EPMS is built based on project progress data and consists of a database of business information, an optimized theoretical model used as a performance measurement baseline, and an index for monitoring and forecasting the performance. By monitoring the performance through an application of the EPMS to the Korean construction project, the quarterly variation of index was found to differ by project type. These results could explain the environmental changes in the project execution. Therefore, the EPMS is expected to be an alternative for objective performance monitoring and forecasting while applying the existing methods is difficult because of the limited available data on performance indicators. The development procedures may also be useful to researchers interested in approaches to quantitatively analyze trends in various industries. (C) 2018 Elsevier Ltd, APM and IPMA. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.subject | CONSTRUCTION PROJECTS | - |
dc.subject | GENETIC ALGORITHM | - |
dc.subject | GROWTH-CURVES | - |
dc.subject | ON-SITE | - |
dc.subject | MODEL | - |
dc.title | Early-warning performance monitoring system (EPMS) using the business information of a project | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Cho, Hunhee | - |
dc.contributor.affiliatedAuthor | Kang, Kyung-In | - |
dc.identifier.doi | 10.1016/j.ijproman.2018.03.010 | - |
dc.identifier.scopusid | 2-s2.0-85045446922 | - |
dc.identifier.wosid | 000437381900005 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT, v.36, no.5, pp.730 - 743 | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT | - |
dc.citation.title | INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT | - |
dc.citation.volume | 36 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 730 | - |
dc.citation.endPage | 743 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Business & Economics | - |
dc.relation.journalWebOfScienceCategory | Management | - |
dc.subject.keywordPlus | CONSTRUCTION PROJECTS | - |
dc.subject.keywordPlus | GENETIC ALGORITHM | - |
dc.subject.keywordPlus | GROWTH-CURVES | - |
dc.subject.keywordPlus | ON-SITE | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordAuthor | Performance monitoring and forecasting | - |
dc.subject.keywordAuthor | Early-waming system | - |
dc.subject.keywordAuthor | Performance measurement baseline | - |
dc.subject.keywordAuthor | Performance index | - |
dc.subject.keywordAuthor | Construction project types | - |
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