Ranking and Prediction Formula of Time Waste Causes in Residential Building Projects by LASSO Method

Document Type : Research Paper

Authors

1 Prof., Faculty of School of Architecture, Tehran University, Tehran, Iran

2 Ph.D. Candidate in Project Management, School of Architecture, Tehran University, Tehran, Iran

Abstract

One of the effective ways in reducing time is eliminating or reducing time wastes. Wastes are activities and events that are prolonging the process of producing but would not provide any value-added. For identification, after literature review, interview and thematic analysis were used and according to three factors presence in executing, controllability and direct effect on time, 8 causes were chosen among 35 ones. After that, by distributing questionnaire and using LASSO method, causes ranking and the formula of time waste prediction were obtained. Performing most tasks in site, rework and contractor delay were found out as the most important causes in wasting time. The reason of uniqueness of this paper is using LASSO method for ranking and providing a formula for time waste prediction that not provided in any internal or external articles before now. This prediction is useable 5 to 7 floor residential building projects. According to formula if any 8 causes exist in project process, the amount of waste will be 38% of executing time. By quantifying the amount of time waste, decision making about how to deal with causes is simpler.

Keywords


Abd El-Razek, M. E., Bassioni, H. A. & Mobarak, A. M. (2008). Causes of delay in building construction projects in Egypt. Journal of Construction Engineering and Management, 134(11), 831–841.
Aibinu, A. A. & Odeyinka, H. A. (2006). Construction Delays and Their Causative Factors in Nigeria. Journal of Construction Engineering and Management, 132(7), 667–677.
 Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Cresswell, J. W. (1998). Qualitative inquiry and research design: Choosing among five traditions. Sage Publications Inc., Thousand Oaks, CA.
Daubechies, I., Defrise, M. & De Mol, C. (2004). An iterative thresholding algorithm for linear inverse problems with a sparsity constraint. Communications on Pure and Applied Mathematics, 57(11), 1413–1457.
Ghoddousi, P. & Hosseini, M. R. (2012). A survey of the factors affecting the productivity of construction projects in Iran. Technological and Economic Development of Economy, 18(1), 99–116.
González, P., González, V., Molenaar, K. & Orozco, F. (2013). Analysis of causes of delay and time performance in construction projects. Journal of Construction Engineering and Management, 140(1), 1-9.
Gündüz, M., Nielsen, Y. & Özdemir, M. (2012). Quantification of Delay Factors Using the Relative Importance Index Method for Construction Projects in Turkey. Journal of Management in Engineering, 29(April), 133–139.
Habibpour Gatabi, K.,Safari Shali, R. (2015). Comprehensive Manual for using SPSS in survey researches. Tehran, Looyeh. (in Persian)
Habibpour Gatabi, K.,Safari Shali, R. (2015). Comprehensive Manual for using SPSS in survey researches. Tehran, Looyeh. (in Persian)
Hastie, T., Tibshirani, R. & Friedman, J. (2009). Unsupervised learning. In The elements of statistical learning (pp. 485–585). Springer.
Khoshgoftar, M., Bakar, A. H. A. & Osman, O. (2010). Causes of delays in Iranian construction projects. International Journal of Construction Management, 10(2), 53–69.
Koushki, P. A., Al Rashid, K. & Kartam, N. (2005). Delays and cost increases in the construction of private residential projects in Kuwait. Construction Management and Economics, 23(3), 285–294.
Larsen, J. K., Shen, G. Q., Lindhard, S. M. & Brunoe, T. D. (2015). Factors Affecting Schedule Delay, Cost Overrun, and Quality Level in Public Construction Projects. Journal of Management in Engineering, 32(1), 10.
Liker, J. K. (2005), The Toyota Way-14 Management Principles from the World's Greatest Manufacturer, McGraw-Hill, NewYork, NY.
Lo, T. Y., Fung, I. W. & Tung, K. C. (2006). Construction Delays in Hong Kong Civil Engineering Projects. Journal of Construction Engineering and Management, 132(6), 636–649.
Marzouk, M. M. & El-Rasas, T. I. (2014). Analyzing delay causes in egyptian construction projects. Journal of Advanced Research, 5(1), 49–55.
Mukuka, M. J., Aigbavboa, C. O. & Thwala, W. D. (2014). A Theoretical Review of the Causes and Effects of Construction Projects Cost and Schedule Overruns. International Conference on Emerging Trends in Computer and Image Processing (ICETCIP'2014) Dec. 15-16, 16–19.
Neuendorf, K. A. (2002). The content analysis guidebook.Sage Publications Inc., Thousand Oaks, CA.
Phaniraj, K. & Sreekumar, K. S. (2014). Practical Factors Affecting Delay in High Rise Construction – A Case Study in a Construction Organization. International Journal of Engineering Research & Technology (IJERT), 3(5), 875–881.
Rabbani, M., Rezaei, K., Manavizadeh, N. & Ebadian, M. (2006). Lean production (2th ed.). Atena, Tehran.
Rabbani, M., Rezaei, K., Manavizadeh, N. & Ebadian, M. (2006). Lean production (2th ed.). Atena, Tehran. (in Persian)
Sambasivan, M. & Soon, Y. W. (2007). Causes and effects of delays in Malaysian construction industry. International Journal of Project Management, 25(5), 517–526.
Sarmad, Z. & Bazargan, A. (2005). Behavorial research methodology. Agah, Tehran. (in Persian)
Sarmad, Z. & Bazargan, A. (2005). Behavorial research methodology. Agah, Tehran. (in Persian)
Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society. Series B (Methodological), 267–288.
Womack, J. P., Jones, D. T. & Roos, D. (1990). Machine that changed the world. Simon and Schuster, 1990
Zakeri, M., Olomolaiye, P. O., Holt, G. D. & Harris, F. C. (1996). A survey of constraints on Iranian construction operatives’ productivity. Construction Management & Economics, 14(5), 417–426.