Accesso libero

Determination of construction process duration based on labor productivity estimation: A case study

INFORMAZIONI SU QUESTO ARTICOLO

Cita

Abdullah, A. S., Ali, N. S., & Abdullah, P. A. (2019). Laborer's efficiency of gypsum plastering in Sulaimani city's projects. Kurdistan Journal of Applied Research (KJAR), 4(2), pp. 24–39. AbdullahA. S. AliN. S. AbdullahP. A. 2019 Laborer's efficiency of gypsum plastering in Sulaimani city's projects Kurdistan Journal of Applied Research (KJAR) 4 2 24 39 Search in Google Scholar

Aqlan, S. A. (2014). Impact of engineering software on construction project management in Bahrain. Applied Mechanics and Materials, 501, pp. 2614–2618. AqlanS. A. 2014 Impact of engineering software on construction project management in Bahrain Applied Mechanics and Materials 501 2614 2618 10.4028/www.scientific.net/AMM.501-504.2614 Search in Google Scholar

Asiedu, R. O., Frempong, N. K., & Alfen, H. W. (2017). Predicting likelihood of cost overrun in educational projects. Engineering, Construction and Architectural Management, 24, pp. 21–39. doi: 10.1108/ECAM-06-2015-0103. AsieduR. O. FrempongN. K. AlfenH. W. 2017 Predicting likelihood of cost overrun in educational projects Engineering, Construction and Architectural Management 24 21 39 10.1108/ECAM-06-2015-0103 Open DOISearch in Google Scholar

Barber, R. B. (2005). Understanding internally generated risks in projects. International Journal of Project Management, 23(8), pp. 584–590. doi: 10.1016/j.ijproman. BarberR. B. 2005 Understanding internally generated risks in projects International Journal of Project Management 23 8 584 590 10.1016/j.ijproman Open DOISearch in Google Scholar

Barraza, G. A., Back, W. E., & Mata, F. (2004). Probabilistic forecasting of project performance using stochastic S curves. Journal of Construction Engineering and Management, 130(1), pp. 25–32. doi: 10.1061/(ASCE)0733-9364. BarrazaG. A. BackW. E. MataF. 2004 Probabilistic forecasting of project performance using stochastic S curves Journal of Construction Engineering and Management 130 1 25 32 10.1061/(ASCE)0733-9364 Open DOISearch in Google Scholar

Briec, W., Kerstens, K., & Peypoch, N. (2012). Exact relations between four definitions of productivity indices and indicators. Bulletin of Economic Research, 64(2), pp. 265–274. doi: 10.1111/j.1467-8586.2010.00 378. BriecW. KerstensK. PeypochN. 2012 Exact relations between four definitions of productivity indices and indicators Bulletin of Economic Research 64 2 265 274 10.1111/j.1467-8586.2010.00 378 Open DOISearch in Google Scholar

Briš, R., & Litschmannová, M. (2004). STATISTIKA I. pro kombinované a distanční studium, Elektronické skriptum VŠB TU Ostrava. https://homel.vsb.cz/~bri10/Teaching/Statistika1 BrišR. LitschmannováM. 2004 STATISTIKA I. pro kombinované a distanční studium, Elektronické skriptum VŠB TU Ostrava https://homel.vsb.cz/~bri10/Teaching/Statistika1 Search in Google Scholar

Choi, J., & Ryu, H. G. (2015). Statistical analysis of construction productivity for highway pavement operations. KSCE Journal of Civil Engineering, 19(5), pp. 1193–1202. doi: 10.1007/s12205-014-0425-2. ChoiJ. RyuH. G. 2015 Statistical analysis of construction productivity for highway pavement operations KSCE Journal of Civil Engineering 19 5 1193 1202 10.1007/s12205-014-0425-2 Open DOISearch in Google Scholar

De Marco, A., Briccarello, D., & Rafele, C., (2009). Cost and schedule monitoring of industrial building projects: Case Study. Journal of Construction Engineering and Management, 135(9), pp. 853–862. doi: 10.1061/CO.1943-7862.0000055. De MarcoA. BriccarelloD. RafeleC. 2009 Cost and schedule monitoring of industrial building projects: Case Study Journal of Construction Engineering and Management 135 9 853 862 10.1061/CO.1943-7862.0000055 Open DOISearch in Google Scholar

Druker, E., Demangos, D., & Coleman, R. (2009). Performing statistical analysis on earned value data. International Cost Estimating & Analysis Association, https://www.iceaaonline.com/2009-ev004/ DrukerE. DemangosD. ColemanR. 2009 Performing statistical analysis on earned value data International Cost Estimating & Analysis Association https://www.iceaaonline.com/2009-ev004/ Search in Google Scholar

El-Kholy, A. M. (2015). Predicting cost overrun in construction projects. International Journal of Construction Engineering and Management, 4(4), pp. 95–105. doi: 10.5923/j.ijcem.20150404.01. El-KholyA. M. 2015 Predicting cost overrun in construction projects International Journal of Construction Engineering and Management 4 4 95 105 10.5923/j.ijcem.20150404.01 Open DOISearch in Google Scholar

El-Maaty, A. E., & El-Kholy, A. M., Akal, A. Y. (2017). Modeling schedule overrun and cost escalation percentages of highway projects using fuzzy approach. Engineering, Construction and Architectural Management, 24(5), pp. 809–827. doi: 10.1108/ECAM-03. El-MaatyA. E. El-KholyA. M. AkalA. Y. 2017 Modeling schedule overrun and cost escalation percentages of highway projects using fuzzy approach Engineering, Construction and Architectural Management 24 5 809 827 10.1108/ECAM-03 Open DOISearch in Google Scholar

George, K. M., Park, N., & Yang, Z. (2015). A reliability measure for time series forecasting predictor. IFAC-Papers OnLine, 48(1), pp. 850–855. GeorgeK. M. ParkN. YangZ. 2015 A reliability measure for time series forecasting predictor IFAC-Papers OnLine 48 1 850 855 10.1016/j.ifacol.2015.05.078 Search in Google Scholar

Gouett, M. C., Haas, C. T., Goodrum, P. M., & Caldas, C. H. (2011). Activity analysis for direct-work rate improvement in construction. Journal of Construction Engineering and Management, 137(12), pp. 1117–1124. doi: 10.1061/(ASCE)CO.1943-7862.0000375. GouettM. C. HaasC. T. GoodrumP. M. CaldasC. H. 2011 Activity analysis for direct-work rate improvement in construction Journal of Construction Engineering and Management 137 12 1117 1124 10.1061/(ASCE)CO.1943-7862.0000375 Open DOISearch in Google Scholar

Gerek, I. H., Erdis, E., Mistikoglu, G., & Usmen, M. A. (2016). Evaluation of plastering crew performance in building project using data envelopement analysis. Technological and Economic Development of Economy, 22(6), pp. 926–940. doi: 10.3846/20294913.2014.909903. GerekI. H. ErdisE. MistikogluG. UsmenM. A. 2016 Evaluation of plastering crew performance in building project using data envelopement analysis Technological and Economic Development of Economy 22 6 926 940 10.3846/20294913.2014.909903 Open DOISearch in Google Scholar

Gulezian, R., & Samelian, F. (2003). Baseline determination in construction labor productivity-loss claim. Journal of Construction Engineering and Management, 19(4), pp. 160–165. doi: 10.1061/0742-597X(2003)19:4(160). GulezianR. SamelianF. 2003 Baseline determination in construction labor productivity-loss claim Journal of Construction Engineering and Management 19 4 160 165 10.1061/0742-597X(2003)19:4(160) Open DOISearch in Google Scholar

Han, S., & Lee, T., Ko, Y. (2014). Implementation of construction performance database prototype for curtain wall operation in high-rise building construction. Journal of Asian Architecture and Building Engineering, 13(1), pp. 149–156. doi: 10.3130/jaabe.13.149. HanS. LeeT. KoY. 2014 Implementation of construction performance database prototype for curtain wall operation in high-rise building construction Journal of Asian Architecture and Building Engineering 13 1 149 156 10.3130/jaabe.13.149 Open DOISearch in Google Scholar

Hillson, D. (2004). Earned value management and risk management: A Practical Synergy. Proceedings of the PMI Global Congress, Anaheim, PMI, pp. 2250–0758. HillsonD. 2004 Earned value management and risk management: A Practical Synergy Proceedings of the PMI Global Congress Anaheim, PMI 2250 0758 Search in Google Scholar

Idiake, J. E., & Ikemefuna, M. (2014). Improving labour performance in the management of wall plastering activity for one storey buildings in Abuja, Nigeria. Journal of Economics and Sustainable Development, 5(10). IdiakeJ. E. IkemefunaM. 2014 Improving labour performance in the management of wall plastering activity for one storey buildings in Abuja, Nigeria Journal of Economics and Sustainable Development 5 10 Search in Google Scholar

Jarský, Č. (2000). Automatizovaná příprava a řízení realiza ce staveb. CONTEC Kralupy n. Vlt. JarskýČ. 2000 Automatizovaná příprava a řízení realiza ce staveb. CONTEC Kralupy n. Vlt Search in Google Scholar

Jarský, Č. (2019). Příprava a realizace staveb, CONTEC. http://www.contec.cz [30-11-2017], Akademické nakladatelství CERM, ISBN 978-80-7204-994-3, Brno 2019. JarskýČ. 2019 Příprava a realizace staveb, CONTEC http://www.contec.cz [30-11-2017], Akademické nakladatelství CERM, ISBN 978-80-7204-994-3, Brno 2019. Search in Google Scholar

Ko, Y., & Han, S. (2015). Development of construction performance monitoring methodology using bayesian probabilistic approach. Journal of Asian Architecture and Building Engineering, 14(1), pp. 73–80. doi: 10.3130/jaabe.14.73. KoY. HanS. 2015 Development of construction performance monitoring methodology using bayesian probabilistic approach Journal of Asian Architecture and Building Engineering 14 1 73 80 10.3130/jaabe.14.73 Open DOISearch in Google Scholar

Khanzadi, M., & Shahbazi, M. M. (2018). Forecasting schedule relia bility using the reliability of agents’ promises. Asian Journal of Civil Engineering, 19(8), pp. 949–962. doi: 10.1007/s42107-018-0075-7. KhanzadiM. ShahbaziM. M. 2018 Forecasting schedule relia bility using the reliability of agents’ promises Asian Journal of Civil Engineering 19 8 949 962 10.1007/s42107-018-0075-7 Open DOISearch in Google Scholar

Khanzadi, M., Kaveh, A., Alipoura, M., & Khanmohammadi, R. (2017). Assessment of labor productivity in construction projects using system dynamic approach. Scientia Iranica, 24(6), pp. 2684–2695. doi: 10.24200/sci.2017.4164. KhanzadiM. KavehA. AlipouraM. KhanmohammadiR. 2017 Assessment of labor productivity in construction projects using system dynamic approach Scientia Iranica 24 6 2684 2695 10.24200/sci.2017.4164 Open DOISearch in Google Scholar

Kim, B. C., & Reinschmidt, K. (2010). Probabilistic forecasting of project duration using kalman filter and the earned value method. Journal of Construction Engineering and Management, 136(8), pp. 834–843. doi: 10.1061/(ASCE)CO.1943-7862.0000192. KimB. C. ReinschmidtK. 2010 Probabilistic forecasting of project duration using kalman filter and the earned value method Journal of Construction Engineering and Management 136 8 834 843 10.1061/(ASCE)CO.1943-7862.0000192 Open DOISearch in Google Scholar

Kubečková, D., & Smugala, S. (2020). Statistical methods applied to construction process management. Asian Journal of Civil Engineering, 21(3), pp. 479–494. doi: 10.1007s42107-020-00221-7. KubečkováD. SmugalaS. 2020 Statistical methods applied to construction process management Asian Journal of Civil Engineering 21 3 479 494 10.1007s42107-020-00221-7 Open DOISearch in Google Scholar

Kumar, A. V. S. S., & Faheem, B. (2008). Fuzzy optimization of construction project network with multiple objectives. Proceedings of the 4th International Structural Engineering and 16 Construction Conference, ISEC - 4 - Innovations in Structural Engineering and Construction, 2, pp. 1433–1437. KumarA. V. S. S. FaheemB. 2008 Fuzzy optimization of construction project network with multiple objectives Proceedings of the 4th International Structural Engineering and 16 Construction Conference, ISEC - 4 - Innovations in Structural Engineering and Construction 2 1433 1437 Search in Google Scholar

Lee, D. E. (2005). Probability of project completion using stochastic project scheduling simulation (SPSS). Journal of Construction Engineering and Management, 131(3), pp. 310–318. LeeD. E. 2005 Probability of project completion using stochastic project scheduling simulation (SPSS) Journal of Construction Engineering and Management 131 3 310 318 10.1061/(ASCE)0733-9364(2005)131:3(310) Search in Google Scholar

Leu, S. S., & Lin, Y. C. (2008). Project performance evaluation based on statistical process control techniques. Journal of Construction Engineering and Management, 134(10), pp. 813–819. doi: 10.1061/0733-9364. LeuS. S. LinY. C. 2008 Project performance evaluation based on statistical process control techniques Journal of Construction Engineering and Management 134 10 813 819 10.1061/0733-9364 Open DOISearch in Google Scholar

Lipke, W. (2002). Statistical process control of project performance. The Journal of Defense Software Engineering, 15(3), pp. 15–18. LipkeW. 2002 Statistical process control of project performance The Journal of Defense Software Engineering 15 3 15 18 Search in Google Scholar

Lipke, W., Zwikael, O., Henderson, K., & Anbari, F. (2009). Prediction of project outcome: The application of statistical methods to earned value management and earned schedule performance indexes. International Journal of Project Management, 27(4), pp. 400–407. doi: 10.1016/j.ijproman.2008.02.009. LipkeW. ZwikaelO. HendersonK. AnbariF. 2009 Prediction of project outcome: The application of statistical methods to earned value management and earned schedule performance indexes International Journal of Project Management 27 4 400 407 10.1016/j.ijproman.2008.02.009 Open DOISearch in Google Scholar

Litschmannová, M. (2015). Pravděpodobnost a statistika Vzorce a tabulky. https://homel.vsb.cz//Vzorce-a-tabulky.new LitschmannováM. 2015 Pravděpodobnost a statistika Vzorce a tabulky https://homel.vsb.cz//Vzorce-a-tabulky.new Search in Google Scholar

Lowe, D. J., Emsley, M. W., & Harding, A. (2006). Predicting construction cost using multiple regression techniques. Journal of Construction Engineering and Management, 132(7), pp.750–758. doi: 10.1061/(ASCE)0733-9364 132:7(750). LoweD. J. EmsleyM. W. HardingA. 2006 Predicting construction cost using multiple regression techniques Journal of Construction Engineering and Management 132 7 750 758 10.1061/(ASCE)0733-9364 132:7(750) Open DOISearch in Google Scholar

Minasowicz, A., Kostrzewa, B., & Zawistowski, J. (2011). Construction project risk control based on expertise using fuzzy set theory. Proceedings of the 28th ISARC, pp. 101–106. doi: 10.22260/ISARC2011/0015. MinasowiczA. KostrzewaB. ZawistowskiJ. 2011 Construction project risk control based on expertise using fuzzy set theory Proceedings of the 28th ISARC 101 106 10.22260/ISARC2011/0015 Open DOISearch in Google Scholar

Mizell, C., & Malone, L. (2007). A project management approach to using simulation for cost estimation on large, complex software development projects. Engineering Management Journal, 19(4), pp. 28–34. doi: 10.1080/10429247. MizellC. MaloneL. 2007 A project management approach to using simulation for cost estimation on large, complex software development projects Engineering Management Journal 19 4 28 34 10.1080/10429247 Open DOISearch in Google Scholar

Monkaew, S., & Nawalerspunya, T. (2015). A productivity rate in concrete plastering of exterior brick wall. King Mongkut's University of Technology North Bangkok, doi: 10.14416/j.kmutnb.2015.02.004. MonkaewS. NawalerspunyaT. 2015 A productivity rate in concrete plastering of exterior brick wall King Mongkut's University of Technology North Bangkok 10.14416/j.kmutnb.2015.02.004 Open DOISearch in Google Scholar

Narbaev, T., & De Marco, A. (2011). Cost estimate at completion methods in construction projects. 2011 2nd International Conference on Construction and Project Management, 15. doi: 10.13140/2.1.1898.3369. NarbaevT. De MarcoA. 2011 Cost estimate at completion methods in construction projects 2011 2nd International Conference on Construction and Project Management 15 10.13140/2.1.1898.3369 Open DOISearch in Google Scholar

Nassar, K. M., Gunnarsson, H. G., & Hegad, M. Y. (2005). Using weibull analysis for evaluation of cost and schedule performance. Journal of Construction Engineering and Management, 131(12), pp. 1257–1262. doi: 10.1061/(ASCE)07339364(2005)131:12(1257). NassarK. M. GunnarssonH. G. HegadM. Y. 2005 Using weibull analysis for evaluation of cost and schedule performance Journal of Construction Engineering and Management 131 12 1257 1262 10.1061/(ASCE)07339364(2005)131:12(1257) Open DOISearch in Google Scholar

Nelson, W. B. (1990). Accelerated testing, statistical models, test plans, and data analysis. Wiley. NelsonW. B. 1990 Accelerated testing, statistical models, test plans, and data analysis Wiley Search in Google Scholar

Odesola, I. A., Okolie, K. C, & Nnametu, J. N. (2015). A comparative evaluation of labour productivity of wall plastering activity using work study. PM World Journal, 4(5), pp. 1–10. OdesolaI. A. OkolieK. C NnametuJ. N. 2015 A comparative evaluation of labour productivity of wall plastering activity using work study PM World Journal 4 5 1 10 Search in Google Scholar

Olomolaiye, P. O., & Ogunlana, S. O. (1989). An evaluation of production outputs in key building trades in Nigeria. Construction Management and Economics, 7(1), pp. 75–86. OlomolaiyeP. O. OgunlanaS. O. 1989 An evaluation of production outputs in key building trades in Nigeria Construction Management and Economics 7 1 75 86 10.1080/01446198900000008 Search in Google Scholar

Plybankiewicz, E. (2018). Model of predicting cost overrun in construction projects. Sustainability, 10(12), pp. 4387. doi: 10.3390/su10124387. PlybankiewiczE. 2018 Model of predicting cost overrun in construction projects Sustainability 10 12 4387 10.3390/su10124387 Open DOISearch in Google Scholar

Rad, K. G., & Kim, S. Y. (2018). Factors affecting construction labor productivity: Iran Case Study. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 42(2), pp. 165–180. doi: 10.1007/s40996-018-0095-2. RadK. G. KimS. Y. 2018 Factors affecting construction labor productivity: Iran Case Study Iranian Journal of Science and Technology, Transactions of Civil Engineering 42 2 165 180 10.1007/s40996-018-0095-2 Open DOISearch in Google Scholar

Saini, H., Singh, K., & Malik, U. (2017). Project management in construction using primavera. International Journal of Civil Engineering and Technology, 8(8), pp. 538–549. SainiH. SinghK. MalikU. 2017 Project management in construction using primavera International Journal of Civil Engineering and Technology 8 8 538 549 Search in Google Scholar

Salunkhe, A. A. (2018). Assessment of Critical Construction Delay Factors, I J R. https://edupediapublications.org/journals SalunkheA. A. 2018 Assessment of Critical Construction Delay Factors, I J R https://edupediapublications.org/journals Search in Google Scholar

Salunkhe, A. A., & Patil, R. S., (2013). Statistical methods for construction delay analysis. Journal of Mechanical and Civil Engineering, 9(2), pp. 58–62. SalunkheA. A. PatilR. S. 2013 Statistical methods for construction delay analysis Journal of Mechanical and Civil Engineering 9 2 58 62 Search in Google Scholar

San Cristóbal, J. R. (2017). The S-curve envelope as a tool for monitoring and control of projects. Procedia Computer Science, 121, pp. 756–761. San CristóbalJ. R. 2017 The S-curve envelope as a tool for monitoring and control of projects Procedia Computer Science 121 756 761 10.1016/j.procs.2017.11.097 Search in Google Scholar

Shrestha, P. P., Burns, L. A., & Shields, D. R. (2013). Magnitude of construction cost and schedule overruns in public work projects. Journal of Construction Engineering, 2013(2), doi: 10.1155/935978. ShresthaP. P. BurnsL. A. ShieldsD. R. 2013 Magnitude of construction cost and schedule overruns in public work projects Journal of Construction Engineering 2013 2 10.1155/935978 Open DOISearch in Google Scholar

Sinesilassie, E. G., Tabish, S. Z., Jha, K. N. (2016). Critical factors affecting cost performance: A case of Ethiopian public construction projects. International Journal of Construction Management, 18(2), pp. 108–119. doi: 10.1080/156235991277058. SinesilassieE. G. TabishS. Z. JhaK. N. 2016 Critical factors affecting cost performance: A case of Ethiopian public construction projects International Journal of Construction Management 18 2 108 119 10.1080/156235991277058 Open DOISearch in Google Scholar

Subramani, T., & Karthick, T. M. (2018). Study on time and resource management in construction projects using MS project. International Journal of Engineering & Technology, 7(3.10), pp. 23–26. SubramaniT. KarthickT. M. 2018 Study on time and resource management in construction projects using MS project International Journal of Engineering & Technology 7 3.10 23 26 10.14419/ijet.v7i3.10.15622 Search in Google Scholar

Thomas, H. R., Horman, M. J., de Souza, U. E., & Zavrski, I. (2002). Reducing variability to improve performance as a lean construction principle. Journal of Construction Engineering and Management, 128(2), pp. 144–154. doi: 10.1061/0733-9364. ThomasH. R. HormanM. J. de SouzaU. E. ZavrskiI. 2002 Reducing variability to improve performance as a lean construction principle Journal of Construction Engineering and Management 128 2 144 154 10.1061/0733-9364 Open DOISearch in Google Scholar

Urgilés, P., Claver, J., & Sebastián, M. A. (2019). Analysis of the earned value management and earned schedule techniques in complex hydroelectric power production projects: Cost and Time Forecast. Complexity, doi: 10.1155/2019/3190830. UrgilésP. ClaverJ. SebastiánM. A. 2019 Analysis of the earned value management and earned schedule techniques in complex hydroelectric power production projects: Cost and Time Forecast Complexity 10.1155/2019/3190830 Open DOISearch in Google Scholar

Vanhoucke, M., & Vandevoorde, S. (2007). A simulation and evaluation of earned value metrics to forecast the project duration. Journal of the Operational Research Society, 58(10), pp. 1361–1374. doi: 10.1057/palgrave.jors.2602 296. VanhouckeM. VandevoordeS. 2007 A simulation and evaluation of earned value metrics to forecast the project duration Journal of the Operational Research Society 58 10 1361 1374 10.1057/palgrave.jors.2602 296 Open DOISearch in Google Scholar

Vermo, M., & Kansal, R. (2020). Statistical analysis of delays factors in construction projects. International Journal for Research in Applied Science and Engineering Technology, 8(9). VermoM. KansalR. 2020 Statistical analysis of delays factors in construction projects International Journal for Research in Applied Science and Engineering Technology 8 9 10.22214/ijraset.2020.31531 Search in Google Scholar

Wang, Q., Jiang, N., Gou, L., Che, M., & Zhang, R. (2006). Practical experiences of cost/schedule measure through earned value management and statistical process control. Procedure of InternationalWorkshop on Software, pp.348–354. doi: 10.1007/11754305. WangQ. JiangN. GouL. CheM. ZhangR. 2006 Practical experiences of cost/schedule measure through earned value management and statistical process control Procedure of InternationalWorkshop on Software 348 354 10.1007/11754305 Open DOISearch in Google Scholar

Zawistovski, J. (2010). Application of modified earned value method for assessing the risk and progress of construction projects. Proceedings of the 10th ICM, BMS and Techniques. Vilnius Gediminas Technical University, pp. 557–560. ZawistovskiJ. 2010 Application of modified earned value method for assessing the risk and progress of construction projects Proceedings of the 10th ICM, BMS and Techniques Vilnius Gediminas Technical University 557 560 Search in Google Scholar

eISSN:
1847-6228
Lingua:
Inglese
Frequenza di pubblicazione:
Volume Open
Argomenti della rivista:
Engineering, Introductions and Overviews, other