Critical investigation into applicability of learning curve theory in metro project (Softcopy is also available)
Material type: TextPublication details: 2018Description: ix,45pDDC classification:- CPM TH-0314 SHA
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Thesis | CEPT Library | Faculty of Technology | CPM TH-0314 SHA | Not for loan | 019996 |
Contents
List of Tables vii
List of Figures viii
Acknowledgement x
Abstract xi
Chapter 1: Introduction 1
1.1 Work Outline 1
1.2 Need of Study 2
Chapter 2: Research Design 3
2.1 Objective of Study 3
2.2 Scope of Study 3
2.3 Proposed Methodology 3
2.3.1 Literature Review 4
2.3.2 Data Collection & Analysis 4
2.3.3 Regression model 4
2.4 Thesis Schedule 4
Chapter 3: Literature Review 5
3.1 Construction delay 5
3.1.1 Types of Delay 5
3.2 Literature review summery of delay factors 7
3.3 Extension of Time 8
3.3.1 Contract Provision for Extension of Time 8
3.4 Procedures for Claiming an Extension of Time 15
3.5 Resampling 16
3.5.1 Bootstrap Resampling 17
3.6 Earned value concept 17
3.6.1 Performance Indicators 18
3.7 Literature Review Table 19
3.8 Research Gap 26
Chapter 4: Data Collection 27
4.1 Factors affecting Extension of time. 27
4.2 Description of Probability and Impact ratings 28
4.3 Questionnaire Sample 28
4.3.1 Probability and Impact distribution of factors 34
4.4 Projects Undertaken for Study 35
4.4.1 Case study 01 – 36
4.4.2 Planned Vs earned progress data 36
4.4.3 Schedule delay due to critical factors. 37
4.5 Case study 02 – 38
4.5.1 Project Detail 38
4.5.2 Planned Vs earned progress data 38
4.5.3 Schedule delay due to critical factors 38
4.6 Case study 03 40
4.6.1 Project Detail 40
4.6.2 Planned Vs Earned progress data 40
4.6.3 Schedule delay due to critical factors 41
4.7 Regression Analysis Input Table 42
Chapter 5: Data Analysis 45
5.1 Bootstrap Technique 45
5.2 Bootstrap BCA using Excel Add-in -Resampling Stats 46
5.3 Confidence Intervals for Probability and Impact 48
5.4 Interval Score and Final Ranking 49
5.5 Critical Factors affecting Extension of time 51
5.6 Earned Schedule 51
5.7 Regression Analysis 53
5.7.1 Multiple Regression Model for ES determination 54
5.7.2 Model Constraints 56
5.7.3 Model Validation 57
Chapter: 6 Conclusion and future scope 59
6.1 Conclusion 59
6.2 Limitations 59
6.3 Future Scope 60
Bibliography 61
Annexure 62
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