Assessing the applicability of learning curve theory on segment launching of the elevated metro projects (Also available on CD) (Record no. 54873)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02014nam a2200169Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 180822s9999||||xx |||||||||||||| ||und|| |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | B TH-0737 |
| Item number | KHE |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Khetani, Suhani (UC1913) |
| 245 #0 - TITLE STATEMENT | |
| Title | Assessing the applicability of learning curve theory on segment launching of the elevated metro projects (Also available on CD) |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Date of publication, distribution, etc | 2018 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | ii,6,vii,46p.,CD-ROM |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | CONTENTS<br/>1 INTRODUCTION 1<br/>1.1 Overview 1<br/>1.2 Need of the Study 1<br/>1.3 Objective 1<br/>1.4 Scope of Work 2<br/>1.5 Limitation of the Study 2<br/>1.6 Type of Research 2<br/>1.7 Research Methodology 3<br/>1.8 Work Schedule 3<br/>2 LITERATURE STUDY 5<br/>2.1 Background of Learning Curve Theory and It’s Applicability 5<br/>2.2 Learning Curve Theory 5<br/>2.3 Factors Affecting Learning Rate in the Construction Industry 6<br/>2.4 Learning Curve Models 9<br/>2.4.1 The Straight-Line Model 9<br/>2.4.2 Stanford “B” Model 10<br/>2.4.3 Cubic Model 10<br/>2.4.4 Piecewise (or Stepwise) Model 11<br/>2.4.5 Exponential Model 12<br/>2.5 Past Researches about Learning Curve Theory Application in Construction Industry 12<br/>2.6 About Segment Launching Method 13<br/>3 DATA COLLECTION 14<br/>3.1 Overview 14<br/>3.2 Data Collection Methodology 14<br/>3.3 Data Collection for Productivity Factors 14<br/>3.3.1 Expert Opinion Survey 14<br/>3.3.2 Questionnaire 15<br/>3.3.3 Sample Size 15<br/>3.3.4 Data Collection 16<br/>3.4 Data Collection for Time-cycle Prediction Model 16<br/>3.4.1 Selection of Case study 16<br/>3.4.2 Details of Data Collected 17<br/>3.5 Suggested Sample size for Regression Analysis 20<br/>4 DATA ANALYSIS 24<br/>4.1 Overview 24<br/>4.2 Methodology of Analysis 24<br/>4.3 Ranking the Productivity Factors of Segment Launching 24<br/>4.3.1 Tests of Sound Measurement 24<br/>4.3.2 Data Analysis Using RII Method 25<br/>4.3.3 Inferences 27<br/>4.4 Development of Prediction Equation 28<br/>4.4.1 Regression Analysis 28<br/>4.4.2 Resampling of Data 28<br/>5 CONCLUSION 38<br/>6 REFERENCES 40<br/><br/><br/> |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Pandit, Devanshu (Guide) |
| 890 ## - Country | |
| Country | India |
| 891 ## - Topic | |
| Topic | 2013 Batch |
| 891 ## - Topic | |
| Topic | FT-UG |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Withdrawn status | Home library | Current library | Date acquired | Source of acquisition | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Faculty of Technology | CEPT Library | CEPT Library | 22/08/2018 | Faculty of Technology | B TH-0737 KHE | 019794 | 22/08/2018 | 22/08/2018 | Thesis |