Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/5432
Title: Success or Failure Analysis of Hydropower Projects
Authors: Bebhuti
Kar, Santu [Guided by]
Keywords: Construction
Analytical hierarchy process
Hydropower projects
Artificial intelligence
Issue Date: 2016
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: The construction projects are dynamic in nature. Project success means different things to different people. Some authors consider time, cost and quality as the main parameters or criteria while some suggests that success is something more complex and they suggest a number of performance measuring parameters or criteria apart from time, cost and quality to call a project successful such as satisfaction of project participants, technical performance of the project number of disputes at the completion of project. The study of success factors are considered to be a means to improve the effectiveness of project. The aim of this project is to identify and analyze those factors which are responsible for success of hydroelectric project. Questionnaire survey has been carried out among twenty respondents representing a mixture of professionals including, construction manager, and engineer and project manager. This study has chosen sixty three factors categorized in thirteen major groups that that the respondents were asked to give the rating. According to RII (Relative Importance Index) method is used to identify the success factors of hydropower project. According to the RII ranking the top five actors were found to be: project manager’s experience, contractor experience, leadership skills of project manager, Supervision and site management and design team experience and site location & shortage in material. This paper helps to set a benchmark and provide significant insights into developing a general and comprehensive base for further research.
URI: http://ir.juit.ac.in:8080/jspui//xmlui/handle/123456789/5432
Appears in Collections:Dissertations (M.Tech.)

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