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Valuation is an art which has found various use in different sectors. But it is seldom restricted to the boundaries of engineers and architects when it comes to property valuation. In the present study, the market value of a residential building situated in Udupi, Karnataka State, India is predicted using Multiple Regression Analysis (MRA) based on the factors affecting the value of the property. This value is then compared with the values obtained by the conventional approaches of valuation like Land and Building method, Rental Income Approach, Composite Rate method and by detailed estimation approach. The property under valuation has a plinth area of 2545.42 square feet standing on a free hold land of 4207.896 square feet. The market value predicted by Multiple Regression Analysis (MRA) shows a variation of 14.10% in comparison with Land and Building method, a variation of - 22.17% in comparison with Rental Income approach, a variation of 4.90% in comparison with Composite Rate method and a variation of 8.81% in comparison with detailed estimate method. The advantage of using MRA is that it uses statistical modelling and reduces the chance of human bias and error.

The productivity and efficiency in any construction is always a challenge. Due to various factors the efficiency of men and machine gets reduced hampering the productivity. The purpose of this study is to highlight the benefits of time and motion study employed in construction sector. Time and motion study and work sampling has been employed to measure the productivity of the various construction activities and the paper discusses its application to the various phases of erection of steel structure such as installation of purlins, installation of primary beams and installation of secondary beams on the arrival slab of an airport. The parameters such as efficiency, productivity, tool time, support time and idle times are observed. Motion corrections and time corrections are applied. It is expected that employing lean concepts to construction will help in increasing productivity and reduce risks. After first week of observation and then employing time and motion study corrections, an increase of 37.95% is observed in terms of efficiency, an increase of 218.03% is observed in terms of productivity and an increase of 93.25% is observed in terms of tool time. The idle time showed a decrease of 40.24%.The results are highly promising and hence the management of construction industry need to consider the application of time and motion study not only from the point of view of enhancing efficiency and resource usage, but should also discuss the soft side of employee psychology.

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Earned Schedule Management (ESM) gives an estimate of schedule and milestone achievement dates. Earned Value Management (EVM) assists to follow the project performance by giving the schedule variance, cost variance and their performance index. EVM &ESM helps the project manager to foresee cost and schedule for the real project. The objective of this study is to apply EVM & ESM to the real time residential apartment project which is upcoming in Bengaluru, Karnataka, India and then to compare the results of two deterministic forecasting methods EVM and ESM. The EVM and ESM parameters are generated by using the data procured from the planning department. It shows much fluctuation in the project performance but the last months (M10) results reveal that the project is behind schedule, unfavorable budget and needs more amelioration. The project has an unfavorable Cost Variance of -0.91(budget in crores of INR, 1 crore = 10millions)) and schedule variance of -6.71months. It is also observed from the results and actual project situations that Earned Value and Earned Schedule methods in conjunction gives more accurate interpretation than using each of them detachedly.