000 | 02014nam a2200169Ia 4500 | ||
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999 |
_c54873 _d54873 |
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008 | 180822s9999||||xx |||||||||||||| ||und|| | ||
082 |
_aB TH-0737 _bKHE |
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100 |
_aKhetani, Suhani (UC1913) _961386 |
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245 | 0 | _aAssessing the applicability of learning curve theory on segment launching of the elevated metro projects (Also available on CD) | |
260 | _c2018 | ||
300 | _aii,6,vii,46p.,CD-ROM | ||
505 | _aCONTENTS 1 INTRODUCTION 1 1.1 Overview 1 1.2 Need of the Study 1 1.3 Objective 1 1.4 Scope of Work 2 1.5 Limitation of the Study 2 1.6 Type of Research 2 1.7 Research Methodology 3 1.8 Work Schedule 3 2 LITERATURE STUDY 5 2.1 Background of Learning Curve Theory and It’s Applicability 5 2.2 Learning Curve Theory 5 2.3 Factors Affecting Learning Rate in the Construction Industry 6 2.4 Learning Curve Models 9 2.4.1 The Straight-Line Model 9 2.4.2 Stanford “B” Model 10 2.4.3 Cubic Model 10 2.4.4 Piecewise (or Stepwise) Model 11 2.4.5 Exponential Model 12 2.5 Past Researches about Learning Curve Theory Application in Construction Industry 12 2.6 About Segment Launching Method 13 3 DATA COLLECTION 14 3.1 Overview 14 3.2 Data Collection Methodology 14 3.3 Data Collection for Productivity Factors 14 3.3.1 Expert Opinion Survey 14 3.3.2 Questionnaire 15 3.3.3 Sample Size 15 3.3.4 Data Collection 16 3.4 Data Collection for Time-cycle Prediction Model 16 3.4.1 Selection of Case study 16 3.4.2 Details of Data Collected 17 3.5 Suggested Sample size for Regression Analysis 20 4 DATA ANALYSIS 24 4.1 Overview 24 4.2 Methodology of Analysis 24 4.3 Ranking the Productivity Factors of Segment Launching 24 4.3.1 Tests of Sound Measurement 24 4.3.2 Data Analysis Using RII Method 25 4.3.3 Inferences 27 4.4 Development of Prediction Equation 28 4.4.1 Regression Analysis 28 4.4.2 Resampling of Data 28 5 CONCLUSION 38 6 REFERENCES 40 | ||
700 |
_aPandit, Devanshu (Guide) _961503 |
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890 | _aIndia | ||
891 | _a2013 Batch | ||
891 | _aFT-UG |