2015
DOI: 10.1016/j.dss.2015.08.002
|View full text |Cite
|
Sign up to set email alerts
|

A multivariate approach for top-down project control using earned value management

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
12
0
2

Year Published

2017
2017
2023
2023

Publication Types

Select...
7
3

Relationship

2
8

Authors

Journals

citations
Cited by 42 publications
(14 citation statements)
references
References 49 publications
0
12
0
2
Order By: Relevance
“…EVM technique has been applied to assist several construction activities such as project monitoring [9]- [13], performance measurement [10], [13]- [15], prediction process [14], risk analysis [16], project controlling [9]- [13], [15]- [17], cost control [9], [11]- [13], [15], etc Previous studies have also carried out the use of project control methods involving EVM and critical buffer management (CBM) methods to improve analysis performance to make it more reliable [17]. However, so far, multiple impact analysis through EVM has never been applied comprehensively for multiple complex projects such as analyzing the impact of delaying one critical work (e.g.…”
Section: Methodsmentioning
confidence: 99%
“…EVM technique has been applied to assist several construction activities such as project monitoring [9]- [13], performance measurement [10], [13]- [15], prediction process [14], risk analysis [16], project controlling [9]- [13], [15]- [17], cost control [9], [11]- [13], [15], etc Previous studies have also carried out the use of project control methods involving EVM and critical buffer management (CBM) methods to improve analysis performance to make it more reliable [17]. However, so far, multiple impact analysis through EVM has never been applied comprehensively for multiple complex projects such as analyzing the impact of delaying one critical work (e.g.…”
Section: Methodsmentioning
confidence: 99%
“…Further research efforts focused on generating warning signals for delayed projects (Martens and Vanhoucke 2017;Colin et al 2015).…”
Section: Project Monitoring and Controlmentioning
confidence: 99%
“…In addition, with some notable exceptions, there is still a paucity of empirical studies focused on the experiences of using EVA on live projects and an over-reliance on anecdotal data when selling its benefits. Much of the recent EVA literature is conceptual in character, looking to refine and extend, with illustrative examples or simulations, the EVA techniques (see, for example, Chen et al, 2016, Acebes et al, 2015, Colin, et al, 2015and Narbaev and De Marco, 2014. Whilst such work is worthy, the need for empirical work on the topic provides a rationale for this paper, which seeks to answer the research question: What are the conditions of success for EVA-based methods for performance measurement in project environments?…”
Section: Introductionmentioning
confidence: 99%