Modeling Underlying Pattern Making Construction Safety Risk Mitigation Decisions Using Dynamic Systems

Aswan Munang(1*), Isnaini Nurisusilawati(2),

(1) Institut Teknologi Telkom Purwokerto
(2) Institut Teknologi Telkom Purwokerto
(*) Corresponding Author
DOI: https://doi.org/10.23917/jiti.v21i1.17429

Abstract

The Occupational Health and Safety Management System (SMK3) is one of the factors that must be always monitored during the implementation of construction in achieving the success of project objectives. The implementation of SMK3 and decision-making still comes from project actors with different levels of experience gaps, causing the decisions taken to be less systematic and affecting the productivity of project performance. The purpose of the research is to conduct risk management simulations to increase insight into risk management and mitigation as a support for appropriate decision making in supporting project productivity, quality, and cost.Risk identification process through brainstorming, interviews, and observations with competent resource persons and project actors who have more than 5 years of experience in railway projects. Risk identification generates parameters and measures project risk by processing data using SPSS V23 software and dynamic simulation using Vensim PLE software. Simulation shows that there is a decrease in risk parameters in design and technology by -6.29%, construction management -5,12%, work safety and environment -5,90%, materials and equipment 3,37% and logistics -6,23%. Management of SMK3 by combining methods can increase accuracy in making risk mitigation decisions and can improve and understand the complexity of overall risk management performance from time to time.

Keywords

dynamic simulation; risk identification; risk mitigation.

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References

Anees, M. M., Mohamed, H. E., & Razek, M. E. A. (2013). Evaluation of change management efficiency of construction contractors. HBRC Journal, 9 (1), 77–85. https://doi.org/10.1016/j.hbrcj.2013.02.005

Buganová, K., & Šimíčková, J. (2019). Risk management in traditional and agile project management. Transportation Research Procedia, 40, 986–993. https://doi.org/10.1016/j.trpro.2019.07.138

Castelli, R. J., Asce, M., Engineer, S. G., Brinckerhoff, P., & St, N. M. (2012). Dynamic Risk Management System for Large Project Construction in CHina. GeoFlorida 2010: Advanced in Analysis, Modeling & Design, Gsp 199, 2012–2021.

Government Regulation Number 50. (2012). Application of the Workplace Safety and Health Management System. Application of the Workplace Safety and Health Management System, 21 (3), 1–27.

Guo, B. H. W., Yiu, T. W., & González, V. A. (2015). Identifying behaviour patterns of construction safety using system archetypes. Accident Analysis and Prevention, 80, 125–141. https://doi.org/10.1016/j.aap.2015.04.008

Haworth, N., & Hughes, S. (2012). The International Labour Organization. In Handbook of Institutional Approaches to International Business. https://doi.org/10.4337/9781849807692.00014

Hinze, J. (2008). Construction safety. Safety Science, 46 (4), 565. https://doi.org/10.1016/j.ssci.2007.07.003

Hlaing, N. N., Singh, D., Tiong, R. L. K., & Ehrlich, M. (2008). Perceptions of Singapore construction contractors on construction risk identification. Journal of Financial Management of Property and Construction, 13 (2), 85–95. https://doi.org/10.1108/13664380810898104

Jiang, X., Wang, S., Wang, J., Lyu, S., & Skitmore, M. (2020). A decision method for construction safety risk management based on ontology and improved cbr: Example of a subway project. International Journal of Environmental Research and Public Health, 17 (11). https://doi.org/10.3390/ijerph17113928

Jin, R., Zou, P. X. W., Piroozfar, P., Wood, H., Yang, Y., Yan, L., & Han, Y. (2019). A science mapping approach based review of construction safety research. Safety Science, 113 (September 2018), 285–297. https://doi.org/10.1016/j.ssci.2018.12.006

Kontogiannis, T. (2012). Modeling patterns of breakdown (or archetypes) of human and organizational processes in accidents using system dynamics. Safety Science, 50 (4), 931–944. https://doi.org/10.1016/j.ssci.2011.12.011

Leon, H., Osman, H., Georgy, M., & Elsaid, M. (2018). System Dynamics Approach for Forecasting Performance of Construction Projects. Journal of Management in Engineering, 34 (1), 04017049. https://doi.org/10.1061/(asce)me.1943-5479.0000575

Mhatre, T. N., Thakkar, J. J., & Maiti, J. (2017). Modelling critical risk factors for Indian construction project using interpretive ranking process (IRP) and system dynamics (SD). International Journal of Quality and Reliability Management, 34 (9), 1451–1473. https://doi.org/10.1108/IJQRM-09-2015-0140

Munang, A., RM, F., & Mansur, A. (2016). Evaluasi Dan Perencanaan Mitigasi Resiko Proyek Pembangunan Jalur Ganda Kereta Api Semarang - Bojonegoro. Teknoin, 22 (2), 1–10. https://doi.org/10.20885/teknoin.vol22.iss2.art5

Perhubungan, K. (2018). Peraturan Menteri Perhubungan Republik Indonesia Nomor KP 2128 Tahun 2018 Tentang Rencana Induk Perkeretaapian Nasional. In Peraturan Menteri Perhubungan Republik Indonesia Nomor KP 2128 Tahun 2018.

Prakash, S., Soni, G., & Rathore, A. P. S. (2017). A critical analysis of supply chain risk management content: a structured literature review. Journal of Advances in Management Research, 14 (1), 69–90. https://doi.org/10.1108/JAMR-10-2015-0073

Qudrat-Ullah, H., & Seong, B. S. (2010). How to do structural validity of a system dynamics type simulation model: The case of an energy policy model. Energy Policy, 38 (5), 2216–2224. https://doi.org/10.1016/j.enpol.2009.12.009

Saad, I. M. H., & Asce, M. (2010). Managing risk in sustainable projects. 340–348.

Sanchez, Fabián Alberto Suarez Pelaez, G. I. C., & ALÍS3, J. C. (2017). Occupational Safety and Health in Construction: a review of applications and trends. Industrial Health, 55, 210–218.

Series, W. P., & Sterman, J. D. (2003). Systems Thinking and Modelling for a System Dynamics : Systems Thinking and Modeling for a Complex World. European Journal of Computer Science, 21 (3), 35–39.

Shohet, I. M., Wei, H.-H., Skibniewski, M. J., Tak, B., & Revivi, M. (2019). Integrated Communication, Control, and Command of Construction Safety and Quality. Journal of Construction Engineering and Management, 145 (9), 04019051. https://doi.org/10.1061/(asce)co.1943-7862.0001679

Yuan, H. (2012). A model for evaluating the social performance of construction waste management. Waste Management. 32 (6), 1218-1228 https://doi.org/10.1016/j.wasman.2012.01.028

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