Time cost model for water related projects

• Main Author: Ahmad, Siti Farida
• Format: Thesis
• Language: English
• Published: 2020
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/87004/1/SitiFaridaAhmadMSKA2020.pdf; http://eprints.utm.my/id/eprint/87004/; http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:134201

Planning is one of the elements of management, next to organizing, motivating and control. It draws attention to the determinants and characteristics of the planning part and its particular importance in the project management process. Assessing the accuracy of the project timeline should be considered an essential part during planning stage. Neglecting to estimate timeline accuracy may lead to wrong decisions on acquisition of cost assessment and exposed to unforeseen events, risks, and deviations. Thus, the study was conducted to develop and evaluate new time cost relationship model based on previous 5 years projects under Department of Irrigation and Drainage Malaysia (JPS). To attempt this study, 47 projects under JPS Johor had been selected for evaluation and comparison. The data gathered through objective were measured and translated into table and scatter graph. The model was developed in line with the time cost model developed by Bromilow in 1980 where the predictive efficacy of a model measured in its coefficient determination of R2 . The R2 value indicated quite relevant as the study registered R2 value more than 0.7. The study further revealed that construction size measured by the cost has a far reaching effect on the time of completion indicated by the R2 value. Respondents with vast experiences have been interviewed to gather all data and information on disparity, similarity and effectiveness of current model practiced by their organizations. The data was tabulated into graph to acquire relevant information pertaining model of current practice in determining various project timeline and the effectiveness of model used in different organization. However, the others industry players are not practicing this model in their organizations as the other variables that they believed are important were keeping constants. The prediction efficacy of the model could be improved by incorporating other significant variables influencing construction durations. The results will be benefited as another comparison or assessment mechanism in getting comprehensive timeline during feasibility study. Findings of the study are expected to aid inputs to JPS in the direction to revise current theories which take place in 2020.