Risk Analysis of Modest Housing Projects Scheduling using Monte Carlo Simulation
DOI:
https://doi.org/10.9744/ced.26.2.160-172Keywords:
risk analysis, probabilistic scheduling, project duration, monte carlo simulation, sensitivity analysisAbstract
It is crucial to address uncertainties in the construction project scheduling to mitigate delays. Probabilistic simulation offers a viable alternative method. This study examined the relationship between project duration and delay risks, as well as identified the most influential activities for modest housing projects using Monte Carlo Simulation. The simulation analysis, which included 2547 iterations, found that, on average, it took 87.39 days to complete a 54-type modest house project, with the shortest and longest durations being 44 and 149 days, respectively. The sensitivity analysis revealed that finishing works, such as painting, doors/windows installation, and cleaning, had the highest uncertainty and significantly affected the project duration. Additionally, the severity analysis showed that wall work was the most impactful activity contributing to delays. Based on these analyses, both finishing works and wall work were identified as the most critical activities significantly influencing the project's completion duration.
References
Wang, X. and Huang, J., Risk Analysis of Construction Schedule Based on Monte Carlo Simulation, 2009 International Symposium on Computer Network and Multimedia Technology, IEEE, December, 2009, pp. 1–4, doi: 10.1109/CNMT.2009.5374816.
Santony, J., Simulasi Penjadwalan Proyek Pembangunan Jembatan Gantung dengan Metode Monte Carlo, Jurnal Informasi dan Teknologi, 2(1), June, 2020, pp. 36–42, doi: 10.37034/jidt.v2i1.34.
Laufer, A. and Howell, G.A., Construction Planning: Revising the Paradigm, Project Management Journal, 24(3), 1993, pp. 23–33, retrieved from https://www.pmi.org/learning/library/construction-planning-revising-paradigm-2110.
Wijaya, F.S. and Sulistio, H., Penerapan Metode Monte Carlo pada Penjadwalan Proyek Serpong Garden Apartment, JMTS: Jurnal Mitra Teknik Sipil, 2(3), October, 2019, pp. 189–198, doi: 10.24912/jmts.v2i3.5828.
Shofa, W.N., Soejanto, I., and Ristyowati, T., Penjadwalan Proyek dengan Penerapan Simulasi Monte Carlo pada Metode Program Evaluation Review and Technique (PERT), OPSI - Jurnal Optimasi Sistem Industri, 10(2), December, 2017, pp. 150–157, doi: 10.31315/opsi.v10i2.2110.
Kwak, Y.H. and Ingall, L., Exploring Monte Carlo Simulation Applications for Project Management, IEEE Engineering Management Review, 37(2), September, 2009, pp. 83–83, doi: 10.1109/EMR.2009.5235458.
Project Management Institute, A Guide to the Project Management Body of Knowledge (PMBOK® guide), Fifth edition, Project Management Institute, Inc., Newtown Square, 2013.
Deshmukh, P. and Rajhans, N., Comparison of Project Scheduling Techniques: PERT Versus Monte Carlo Simulation, Industrial Engineering Journal, 11(7), July, 2018, doi: 10.26488/IEJ.11.7.1134.
Tysiak, W., Risk Management in Projects: The Monte Carlo Approach Versus PERT, Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, IEEE, September, 2011, pp. 906–910, doi: 10.1109/IDAACS.2011.6072904.
Mahayu, L.A., Penjadwalan Probabilistik dengan Simulasi Monte Carlo (Studi Kasus Proyek Pembangunan Gedung Parkir Kendaraan Roda Dua Universitas Muhammadiyah Surakarta), Universitas Sebelas Maret, 2011.
Tokdemir, O.B., Erol, H., and Dikmen, I., Delay Risk Assessment of Repetitive Construction Projects using Line-of-Balance Scheduling and Monte Carlo Simulation, Journal of Construction Engineering and Management, 145(2), February, 2019, doi: 10.1061/(ASCE)CO.1943-7862.0001595.
Kong, Z., Zhang, J., Li, C., Zheng, X., and Guan, Q., Risk Assessment of Plan Schedule by Monte Carlo Simulation, Proceedings of the 4th International Conference on Information Technology and Management Innovation, Atlantis Press, Paris, France, 2015, pp. 509–513, doi: 10.2991/icitmi-15.2015.83.
Aurelia, A., Nuh, S.M., and Mulyani, E., Penerapan Metode Monte Carlo pada Penjadwalan Pekerjaan Proyek Konstruksi (Studi Kasus Proyek Pembangunan Gedung Ditreskrimsus Polda Kalbar), JeLAST: Jurnal PWK, Laut, Sipil, Tambang, 6(2), 2019, doi: 10.26418/jelast.v6i2.35629.
Wali, K.I. and Othman, S.A., Schedule Risk Analysis using Monte Carlo Simulation for Residential Projects, Zanco Journal of Pure and Applied Sciences, 31(5), October, 2019, pp. 90–103, doi: 10.21271/zjpas.
Jannah, S.R., Muzdalifah, L., and Kurniawati, E.F., Optimasi Waktu Penjadwalan Proyek Pembangunan Perumahan Menggunakan Critical Path Method (CPM)/Program Evaluation and Review Technique (PERT) dan Simulasi Monte Carlo, Prosiding SNasPPM, Universitas PGRI Ronggolawe Tuban, Tuban, September, 2018, pp. 461–465, retrieved from http://prosiding.unirow.ac.id/index.php/SNasPPM/article/view/159.
Caesaron, D. and Thio, A., Analisa Penjadwalan Waktu dengan Metode Jalur Kritis dan PERT pada Proyek Pembangunan Ruko (Jl. Pasar Lama No. 20 Glodok), JIEMS (Journal of Industrial Engineering and Management Systems), 8(2), August, 2015, pp. 59–82, doi: http://dx.doi.org/10.30813/jiems.v8i2.124.
Chasan, M.F., Fauji, D.A.S., and Purnomo, H., Evaluasi Penjadwalan Waktu dan Biaya dengan Metode CPM dan Gantt Chart pada Proyek Pembangunan Rumah Tipe 60/72 Griya Keraton Sambirejo Kediri, Prosiding Simposium Nasional Manajemen dan Bisnis, Universitas Nusantara PGRI Kediri, Kediri, June, 2022, pp. 100–108, retrieved from https://proceeding.unpkediri.ac.id/index.php/simanis/article/view/1678.
Iman, F.H., Wahyono, H., and Gusminto, E.B., Evaluasi Penjadwalan Waktu pada Proyek Pembangunan Rumah Tipe 30 di Istana Tegal Besar Kabupaten Jember dengan Metode CPM, e-Journal Ekonomi Bisnis dan Akuntansi, 5(2), October, 2018, pp. 153–157, doi: 10.19184/ejeba.v5i2.8651.
Pratama A.Y. and Kartini, I.A.N., Analisis Perencanaan dan Penjadwalan Proyek Pembangunan Rumah Kos Menggunakan Network Planing PERT dan CPM di Kota Surabaya, JEM17: Jurnal Ekonomi Manajemen, 5(1), May, 2020, pp. 19–32, doi: 10.30996/jem17.v5i1.3619.
Ilwaru, V.Y.I., Rahakbauw, D.L., and Tetimelay, J., Penjadwalan Waktu Proyek Pembangunan Rumah dengan Menggunakan CPM (Critical Path Method), Barekeng: Jurnal Ilmu Matematika dan Terapan, 12(2), December, 2018, pp. 061–068, doi: 10.30598/vol12iss2pp061-068ar617.
Fadjar, A., Aplikasi Simulasi Monte Carlo dalam Estimasi Biaya Proyek, Jurnal SMARTek, 6(4), 2008, pp. 222–227, retrieved from http://jurnal.untad.ac.id/jurnal/index.php/SMARTEK/article/view/486.
Aulabih, R., Unas, S.E., and Negara, K.P., Penerapan Metode Monte Carlo pada Penjadwalan Proyek Gedung Dinas Sosial Kota Blitar, Jurnal Mahasiswa Jurusan Teknik Sipil Universitas Brawijaya, 1(1), 2016.
Rita, R.P., Saputra, A., and Ahmad, J.S.M., Stakeholders’ Barriers to Green Building Project at Universitas Gadjah Mada Indonesia, GEOMATE Journal, 25(107), May, 2023, pp. 107–114, retrieved from https://geomatejournal.com/geomate/article/view/3802.
Mbah, A.K. and Paothong, A., Shapiro–Francia Test Compared to Other Normality Test Using Expected P-Value, Journal of Statistical Computation and Simulation, 85(15), October, 2015, pp. 3002–3016, doi: 10.1080/00949655.2014.947986.
Lilliefors, H.W., On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown, Journal of the American Statistical Association, 62(318), 1967, pp. 399–402, doi: 10.2307/2283970.
Jarque, C.M. and Bera, A.K., A Test for Normality of Observations and Regression Residuals, International Statistical Review, 55(2), 1987, pp. 163–172, doi: 10.2307/1403192.
Shapiro, S.S. and Wilk, M.B., An Analysis of Variance Test for Normality (Complete Samples), Biometrika, 52(3/4), 1965, pp. 591–611, doi: 10.2307/2333709.
Razali, N.M. and Wah, Y.B., Power Comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling Tests, Journal of Statistical Modeling and Analytics, 2(1), November, 2011, pp. 21-33.
Park, H.M., Univariate Analysis and Normality Test using SAS, Stata, and SPSS, Indiana University, 2008, retrieved from https://hdl.handle.net/2022/19742.
Mbah, A.K. and Paothong, A., Shapiro–Francia Test Compared to Other Normality Test using Expected P-Value, Journal of Statistical Computation and Simulation, 85(15), October, 2015, pp. 3002–3016, doi: 10.1080/00949655.2014.947986.
Kabasarang, D., Setiawan, A., and Susanto, B., Uji Normalitas Menggunakan Statistik Jarque-Bera berdasarkan Metode Bootstrap, November, 2013.
Kim, H.Y., Statistical Notes for Clinical Researchers: Assessing Normal Distribution (2) Using Skewness and Kurtosis, Restorative Dentistry & Endodontics, 38(1), November, 2013, pp. 52–54, doi: 10.5395/rde.2013.38.1.52.
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