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Measuring Time Improving Project Performance Using Earned Value Management

:	Mario Vanhoucke
:	Measuring Time Improving Project Performance Using Earned Value Management
:	Springer-Verlag
:	9781441910141
:	1
:	CHF 85.90
:

:	Allgemeines, Lexika
:	English

:	164
:	Wasserzeichen
:	PC/MAC/eReader/Tablet
:	PDF

Meant to complement rather than compete with the existing books on the subject, this book deals with the project performance and control phases of the project life cycle to present a detailed investigation of the project's time performance measurement methods and risk analysis techniques in order to evaluate existing and newly developed methods in terms of their abilities to improve the corrective actions decision-making process during project tracking. As readers apply what is learned from the book, EVM practices will become even more effective in project management and cost engineering. Individual chapters look at simulation studies in forecast accuracy; schedule adherence; time sensitivity; activity sensitivity; and using top-down or bottom-up project tracking. Vanhoucke also offers an actual real-life case study, a tutorial on the use of ProTrack software (newly developed based on his research) in EVM, and conclusions on the relative effectiveness for each technique presented.

Prof Dr Mario Vanhouckeis associate professor at Ghent University and Vlerick Leuven Gent Management School (Belgium). He teaches Project Management, Business Statistics and Applied Operations Research. He is program director of the Bachelors and Masters in Business Engineering and the advanced Master in Operations and Technology Management and is a partner of OR-AS. His main research interest lies in simulation and optimization models in project scheduling and scheduling in the health care sector. This November he was awarded the 2008 International Project Management Association Research Award for the research project upon which this proposed book is based -(http://www.ipma.ch/awards/r sawards/Pages/winnersandhonou s2008.aspx).

	Preface	7
	Introduction	12
	Contents	15
	List of Acronyms	18
	List of Figures	22
	List of Tables	25
	Chapter 1 The EVM Fundamentals	27
	1.1 Earned Value Management (EVM)	28
	1.1.1 The metrics	28
	1.1.2 Performance measures	31
	1.1.3 Forecasting formula	35
	1.2 A fictitious project example	44
	1.3 Conclusion	47
	Chapter 2 Beyond the EVM Fundamentals	51
	2.1 The p-factor concept for schedule adherence	52
	2.1.1 Activity overlapping	55
	2.1.2 EV/PV accrue deviation	55
	2.1.3 Ahead or delays in activities	56
	2.2 Rework due to lack of schedule adherence	56
	2.3 Conclusion	60
	Chapter 3 A Case Study	62
	3.1 Project 1. Revamp check-in	65
	3.2 Project 2. Link lines	68
	3.3 Project 3. Transfer platform	68
	3.4 Conclusion	72
	Chapter 4 A Simulation Study	75
	4.1 Test methodology	77
	4.1.1 The project generation	78
	4.1.2 Project data	86
	4.2 Simulation 1: A forecast accuracy study	87
	4.2.1 Simulation model	87
	4.2.2 The forecast accuracy under 9 scenarios	91
	4.2.3 The forecast accuracy and the completion stage of work	94
	4.2.4 The influence of the network structure on the forecast accuracy	97
	4.3 Simulation 2: A schedule adherence study	102
	4.3.1 Simulation model	102
	4.3.2 The p-factor evolution and topological structure	104
	4.3.3 The p-factor and the duration forecasting accuracy	106
	4.3.4 The effective forecasting accuracy	108
	4.4 Conclusion	109
	Chapter 5 Time Sensitivity	111
	5.1 Introduction	111
	5.2 Literature overview	112
	5.2.1 Activity-based sensitivity measures	112
	5.2.2 An illustrative example	115
	5.2.3 A critical view on sensitivity measures	119
	5.3 Simulation 3: An activity sensitivity study	121
	5.3.1 Test design	122
	5.3.2 Corrective actions	122
	5.3.3 Action threshold = average sensitivity value	124
	5.3.4 Action threshold = xth percentile sensitivity value	125
	5.4 Conclusion	128
	Chapter 6 Top-down or Bottom-up Project Tracking	130
	6.1 Introduction	130
	6.2 Project scheduling and monitoring	131
	6.3 Simulation 4: A top-down/bottom-up tracking study	133
	6.3.1 Simulation model	133
	6.3.2 Effect of the project structure	136
	6.3.3 Effect of time uncertainty	137
	6.3.4 Effect of action threshold	139
	6.4 Conclusion	141
	Chapter 7 ProTrack: A Software Tutorial	143
	7.1 Project scheduling with ProTrack	143
	7.1.1 Precedence relations	144
	7.1.2 Activity constraints	144
	7.1.3 Earliest/Latest start schedule	147
	7.1.4 Baseline schedule	149
	7.2 Tracking progress with ProTrack	149
	7.2.1 Earned value/earned schedule	151
	7.2.2 Retained or overridden logic	153
	7.2.3 Project reports	155
	7.3 ProTrack engines	155
	7.3.1 Project generation engine	156
	7.3.2 Simulation engine	156
	7.3.3 Time forecasting engine	158
	7.4 Demo experiment	160
	7.4.1 Determinants of forecast accuracy	161
	7.4.2 ProTrack simulation experiment	165
	7.5 Conclusion	168
	Chapter 8 Conclusions	170
	8.1 Forecast accuracy	171
	8.2 Schedule adherence	172
	8.3 Time sensitivity	173
	8.4 Summary	174
	References	177
	Index	183