Browsing by Author "Gavaskar, Pradnya (16CEM05)"

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    Application of earned value and weibull analysis on performance of residential projects
    (AIKTC, 2019-03) Gavaskar, Pradnya (16CEM05); Magar, Rajendra
    Construction project managers monitor and control the performance of project. The Earned Value Management (EVM) is a tool that integrates three critical elements of project management which includes scope management, cost management, time management. EVM concept is used to monitor and control the project performance by using cost and schedule performance indices(C/SPI). EVM is a technique which is traditionally used to forecast project cost and time at completion. However, the application of EVM has some limitations due to unrealistic nature in forecasting cost and schedule performance. Conventional EVM has inability to address the uncertainties as well as their causes and effects. This study describes the major aspects of Earned Value analysis with probabilistic approach of useful statistical technique Weibull Analysis to enhance the effective monitoring and controlling in project management for residential projects. From this study it is concluded that the applicability of Weibull analysis in consideration of EVM is suitable in area of construction engineering and management. For that case study of two residential projects is considered in this work. Results are interpreted by studying nature of Weibull shape and scale parameters of datasets and further by computation of performance probability and reliability. From this study it was found that the applicability of Weibull analysis for evaluating and comparing the cost and schedule performance in conjunction with Earned Value concept of two residential building projects using performance probability graphs which can help to find out issues like delays and labour management to improve schedule and cost performance of residential projects.
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    Review on weibull analysis for performance evaluation in construction project
    (International Advanced Research Journal in Science, Engineering and Technology, 2018-02) Gavaskar, Pradnya (16CEM05); Magar, Rajendra; Honnutagi, Abdul Razak
    In construction projects, construction project managers monitor and control the project performance to ensure the project is under control. The Earned Value Management (EVM) method is a tool that integrates three critical elements of project management: scope management, cost management, time management. EVM is traditi onally used to monitor and control the project performance by using cost and schedule indices. EVM is widely used to forecast project cost and time at completion. However, the application of EVM is limited due to poor accuracy in forecasting cost and sched ule performance. Conventional EVM has inability to address the uncertainties as well as their causes and effects. Recently, many EVM - based cost and schedule performance forecasting methods were introduced by many researchers. This study describes the major aspects of EVM and useful statistical techniques to enhance the effective application of EVM in project management. Further it includes the overview of a statistical approach to refine and improve the performance of conventional EVM by introduction of Wei bull Analysis. This can be used in addition with EVM to give probabilistic approach to evaluate cost and schedule performance in construction project