Análisis cuantitativo de riesgos para proyectos de construcción considerando correlaciones entre riesgos y lógica difusa
Publicado 2024-04-29
Palabras clave
- Proyectos de construcción,
- Riesgos críticos,
- Análisis modal de fallos y efectos,
- Lógica difusa,
- Simulación Monte Carlo
- Programación de proyectos,
- Análisis Cuantitativo de Riesgos,
- Correlaciones de riesgo,
- Gestión de riesgos,
- Incertidumbre ...Más
Cómo citar
Derechos de autor 2024 Revista UIS Ingenierías
Esta obra está bajo una licencia internacional Creative Commons Atribución-SinDerivadas 4.0.
Resumen
Los proyectos de construcción sufren un alto nivel de incertidumbre debido a múltiples factores de riesgo. Los riesgos incertidumbre para tener programaciones confiables. Esta investigación propone un método para la programación de proyectos considerando los riesgos. Se aprovecha el juicio de expertos para identificar y analizar los riesgos. Los riesgos potenciales son identificados a través del Análisis modal de fallos y errores (FMEA). El impacto de los riesgos se evalúa a través de lógica difusa y simulación Monte Carlo (MCS). La simulación considera la relación entre riesgos y entre riesgos y actividades. La aplicación del método en un proyecto de construcción permitió obtener una programación más precisa.
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Referencias
- PricewaterhouseCoopers, “En la ruta de la Competitividad. Principales hallazgos de la 1ra Encuesta Nacional de Madurez en Gerencia de Proyectos,” 2011.
- McKinsey, “The construction productivity imperative,” 2015. [Online]. Available in: https://www.mckinsey.com/capabilities/operations/our-insights/the-construction-productivity-imperative
- HKA, “FOREWARNED IS FOREARMED Anticipating challenges, mitigating risk,” 2023. [Online]. Available in https://www.hka.com/wp-content/uploads/2023/10/CRUX-2023-Forewarned-is-Forearmed.pdf
- I. A. Diaz, “Fallas de Planeacion y su Incidencia en el Contrato Estatal de Obra,” Rev. Digit. Derecho Adm., vol. 11, no. 11, pp. 177–207, 2014. [Online]. Available in: https://revistas.uexternado.edu.co/index.php/Deradm/article/view/3831
- CCI and SCI, “Los factores que afectan el buen desarrollo de las obras en el país,” Cámara Colombiana de Infraestructura, Sociedad Colombiana de Ingenieros, Bogotá, 2013.
- J. Jeynes, Risk Management. New York: CRC Press, 2023.
- P. M. Institute, A Guide to the Project Management Body of Knowledge, 6th ed. Project Management Institute (PMI), 201. in PMBOK Guide. Project Management Institute, 2017.
- P. M. Institute, Construction Extension to the PMBOK® Guide. in BusinessPro collection. Project Management Institute, 2016.
- R. Mejía, “La Administración de Riesgos Empresariales,” AD-minister, no. 05, 2004.[En línea]. Disponible en: http://hdl.handle.net/10784/14094
- A. Salah, "Fuzzy Set-based Risk Management for Construction Projects," Concordia University, 2015. [Online]. Available in: https://spectrum.library.concordia.ca/id/eprint/980339/
- M. Heydari, K. K. Lai, “A Study on Risk and Expense Evaluation of Agility Supply Management of Machinery,” Discret. Dyn. Nat. Soc., vol. 2020, p. 7030642, 2020, doi: https://doi.org/10.1155/2020/7030642
- E. Cheraghi, M. Khalilzadeh, S. Shojaei, S. Zohrehvandi, “A mathematical Model to select the Risk Response Strategies of the Construction Projects: Case Study of Saba Tower,” Procedia Comput. Sci., vol. 121, pp. 609–616, 2017, doi: https://doi.org/10.1016/j.procs.2017.11.080
- Z. Bissah, V. Nkrumah, “Project Risk Management Practices in the Construction Industry in Ghana: A Case Study of Two Construction Companies in Sekondi Takoradi Metropolis,” International Journal of Innovative Science and Research Technology (IJISRT), vol. 6, no. 5, pp. 759-768, 2021.
- Z. Wang, Z. Liu, J. Liu, “Risk Identification and Responses of Tunnel Construction Management during the COVID-19 Pandemic,” Adv. Civ. Eng., vol. 2020, p. 6620539, 2020, doi: https://doi.org/10.1155/2020/6620539
- A. Salah, O. Moselhi, “Risk identification and assessment for engineering procurement construction management projects using fuzzy set theory,” Can. J. Civ. Eng., vol. 43, no. 5, pp. 429–442, 2016, doi: https://doi.org/10.1139/cjce-2015-0154
- M. Sambasivan, Y. W. Soon, “Causes and effects of delays in Malaysian construction industry,” Int. J. Proj. Manag., vol. 25, no. 5, pp. 517–526, 2007, doi: https://doi.org/10.1016/j.ijproman.2006.11.007
- H. Doloi, A. Sawhney, K. C. Iyer, S. Rentala, “Analysing factors affecting delays in Indian construction projects,” Int. J. Proj. Manag., vol. 30, no. 4, pp. 479–489, 2012, doi: https://doi.org/10.1016/j.ijproman.2011.10.004
- B. Gładysz, D. Skorupka, D. Kuchta, A. Duchaczek, “Project Risk time Management – A Proposed Model and a Case Study in the Construction Industry,” Procedia Comput. Sci., vol. 64, pp. 24–31, 2015, doi: https://doi.org/10.1016/j.procs.2015.08.459
- S. A. Assaf, S. Al-Hejji, “Causes of delay in large construction projects,” Int. J. Proj. Manag., vol. 24, no. 4, pp. 349–357, 2006, doi: https://doi.org/10.1016/j.ijproman.2005.11.010
- Z. Zheng, Q. W. Chen, T. C. Zhang, R. J. Zhang, X. F. Wang, C. Ma, “Construction risk analysis of water environment treatment project based on WBS-RBS and AHP in flood period --Take the EPC project of comprehensive treatment of water environment in the east of a city as an example,” E3S Web Conf., vol. 236, 2021, https://doi.org/10.1051/e3sconf/202123604025
- L. M. Khodeir, M. Nabawy, “Identifying key risks in infrastructure projects – Case study of Cairo Festival City project in Egypt,” Ain Shams Eng. J., vol. 10, no. 3, pp. 613–621, 2019, doi: https://doi.org/10.1016/j.asej.2018.11.003
- C. P. Hudoyo, Y. Latief, L. Sagita, “Development of WBS (Work Breakdown Structure) Risk Based Standard for Planning Cost Estimation at Port Project,” IOP Conf. Ser. Earth Environ. Sci., vol. 258, no. 1, p. 12051, 2019, doi: https://doi.org/10.1088/1755-1315/258/1/012051
- O. Okudan, C. Budayan, I. Dikmen, “A knowledge-based risk management tool for construction projects using case-based reasoning,” Expert Syst. Appl., vol. 173, p. 114776, 2021, doi: https://doi.org/10.1016/j.eswa.2021.114776
- PMI, A Guide to the Project Management Body of Knowledge (PMBOK® Guide), 5th ed. Newtown Square, Pennsylvania : Project Management Institute, Inc., 2013.
- M. A. Mustafa, J. F. Al-Bahar, “Project risk assessment using the analytic hierarchy process,” IEEE Trans. Eng. Manag., vol. 38, no. 1, pp. 46–52, 1991, doi: https://doi.org/10.1109/17.65759
- H. Abdul-Rahman, S. C. Loo, C. Wang, “Risk identification and mitigation for architectural, engineering, and construction firms operating in the Gulf region,” Can. J. Civ. Eng., vol. 39, no. 1, pp. 55–71, Dec. 2011, doi: https://doi.org/10.1139/l11-111
- S. M. El-Sayegh, “Risk assessment and allocation in the UAE construction industry,” Int. J. Proj. Manag., vol. 26, no. 4, pp. 431–438, 2008, doi: https://doi.org/10.1016/j.ijproman.2007.07.004
- M. Badawy, F. K. Alqahtani, M. A. Sherif, “Impact of the COVID-19 pandemic on risk factors in residential projects,” J. Asian Archit. Build. Eng., vol. 22, no. 3, pp. 1637–1647, May 2023, doi: https://doi.org/10.1080/13467581.2022.2097239
- M. Basak, V. Coffey, R. K. Perrons, “The interaction between non-technical and technical risks in upstream natural gas project schedule overruns: Evidence from Australia,” Extr. Ind. Soc., vol. 8, no. 4, p. 100971, 2021, doi: https://doi.org/10.1016/j.exis.2021.100971
- W. Farid, N. I. Kureshi, S. Babar, A. S. Mahmood, “Critical Risk Factors of Construction Industry of Pakistan for Improving Project Outcome,” Mehran Univ. Res. J. Eng. Technol., vol. 39, p. 71-80, Apr. 2020.
- R. A. Bahamid, S. I. Doh, “A review of risk management process in construction projects of developing countries,” IOP Conf. Ser. Mater. Sci. Eng., vol. 271, no. 1, p. 12042, 2017, doi: https://doi.org/10.1088/1757-899X/271/1/012042
- M. Amiri, A. Ardeshir, M. H. Fazel Zarandi, “Fuzzy probabilistic expert system for occupational hazard assessment in construction,” Saf. Sci., vol. 93, pp. 16–28, 2017, doi: https://doi.org/10.1016/j.ssci.2016.11.008
- V. Paul, D. Basu, “Scenario Planning and Risk Failure Mode Effect and Analysis (RFMEA) based Management,” J. Constr. Eng. Proj. Manag., vol. 6, pp. 24–29, Jun. 2016, doi: https://doi.org/10.6106/JCEPM.2016.6.2.024
- P. Nowotarski, J. Paslawski, “Barriers in Running Construction SME – Case Study on Introduction of Agile Methodology to Electrical Subcontractor,” Procedia Eng., vol. 122, pp. 47–56, 2015, doi: https://doi.org/10.1016/j.proeng.2015.10.006
- H. X. Li, M. Al-Hussein, Z. Lei, Z. Ajweh, “Risk identification and assessment of modular construction utilizing fuzzy analytic hierarchy process (AHP) and simulation,” Can. J. Civ. Eng., vol. 40, no. 12, pp. 1184–1195, Jun. 2013, doi: https://doi.org/10.1139/cjce-2013-0013
- P. Boateng, Z. Chen, S. O. Ogunlana, “An Analytical Network Process model for risks prioritisation in megaprojects,” Int. J. Proj. Manag., vol. 33, no. 8, pp. 1795–1811, 2015, doi: https://doi.org/10.1016/j.ijproman.2015.08.007
- G. Polat, S. Baytekin, E. Eray, “Mark-up Size Estimation in Railway Projects using the Integration of AHP and Regression Analysis Techniques,” Procedia Eng., vol. 123, pp. 423–431, 2015, doi: https://doi.org/10.1016/j.proeng.2015.10.076
- M. Ahmadi, K. Behzadian, A. Ardeshir, Z. Kapelan, “Comprehensive risk management using fuzzy FMEA and MCDA techniques in highway construction projects,” J. Civ. Eng. Manag., vol. 23, no. 2, pp. 300–310, Feb. 2017, doi: https://doi.org/10.3846/13923730.2015.1068847
- A. Kharola, “A fuzzy risk assessment model (FRAM) for risk management (RM),” PM World Journal, vol. 3, no. 2, pp. 18-125, 2014.
- A. Öztaş, Ö. Ökmen, “Uncertainty evaluation with fuzzy schedule risk analysis model in activity networks of construction projects,” J. South African Inst. Civ. Eng., vol. 56, no. 2, pp. 9–20, 2014, doi: https://doi.org/10.10520/EJC158381
- R. Yehiel, “Root-Cause Analysis of Construction-Cost Overruns,” J. Constr. Eng. Manag., vol. 140, no. 1, p. 4013039, Jan. 2014, doi: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000789
- G. Khazaeni, M. Khanzadi, A. Afshar, “Optimum risk allocation model for construction contracts: fuzzy TOPSIS approach,” Can. J. Civ. Eng., vol. 39, no. 7, pp. 789–800, 2012, doi: https://doi.org/10.1139/l2012-038
- O. Nývlt, S. Prívara, L. Ferkl, “Probabilistic risk assessment of highway tunnels,” Tunn. Undergr. Sp. Technol., vol. 26, no. 1, pp. 71–82, 2011, doi: https://doi.org/10.1016/j.tust.2010.06.010
- P. K. Dey, “Managing project risk using combined analytic hierarchy process and risk map,” Appl. Soft Comput., vol. 10, no. 4, pp. 990–1000, 2010, doi: https://doi.org/10.1016/j.asoc.2010.03.010
- B. Gaudenzi, A. Borghesi, “Managing risks in the supply chain using the AHP method,” Int. J. Logist. Manag., vol. 17, no. 1, pp. 114–136, 2006, doi: https://doi.org/10.1108/09574090610663464
- T. A. Carbone, D. D. Tippett, “Project Risk Management Using the Project Risk FMEA,” Eng. Manag. J., vol. 16, no. 4, pp. 28–35, Dec. 2004, doi: https://doi.org/10.1080/10429247.2004.11415263
- L. Chen, Q. Lu, D. Han, “A Bayesian-driven Monte Carlo approach for managing construction schedule risks of infrastructures under uncertainty,” Expert Syst. Appl., vol. 212, p. 118810, 2023, doi: https://doi.org/10.1016/j.eswa.2022.118810
- M. Sami Ur Rehman, M. J. Thaheem, A. R. Nasir, K. I. A. Khan, “Project schedule risk management through building information modelling,” Int. J. Constr. Manag., vol. 22, no. 8, pp. 1489–1499, May 2022, doi: https://doi.org/10.1080/15623599.2020.1728606
- N. R. Ortiz-Pimiento, F. J. Diaz-Serna, “A comparison of different redundancy based methods to solve the project scheduling problemwith probabilistic activivies duration,” Manag. Prod. Eng. Rev., vol. 10, no. No 3, 2019, doi: https://doi.org/10.24425/mper.2019.129600
- A. Mahmoudi, M. Feylizadeh, “A mathematical model for crashing projects by considering time, cost, quality and risk,” J. Proj. Manag., vol. 2, pp. 27–36, Jan. 2017, doi: https://doi.org/10.5267/j.jpm.2017.5.002
- I. Shabtai, S. Yi, L. Gunnar, D. David, “Work-Path Modeling and Spatial Scheduling with Singularity Functions,” J. Comput. Civ. Eng., vol. 31, no. 4, p. 4017008, Jul. 2017, doi: https://doi.org/10.1061/(ASCE)CP.1943-5487.0000650
- A. Qazi, J. Quigley, A. Dickson, K. Kirytopoulos, “Project Complexity and Risk Management (ProCRiM): Towards modelling project complexity driven risk paths in construction projects,” Int. J. Proj. Manag., vol. 34, no. 7, pp. 1183–1198, 2016, doi: https://doi.org/10.1016/j.ijproman.2016.05.008
- H. D. Gómez, A. Orobio, “Effects of uncertainty on scheduling of highway construction projects,” Dyna, vol. 82, no. 193, pp. 155–164, 2015.
- F. Taillandier, P. Taillandier, E. Tepeli, D. Breysse, R. Mehdizadeh, F. Khartabil, “A multi-agent model to manage risks in construction project (SMACC),” Autom.
- Constr., vol. 58, pp. 1–18, 2015, doi: https://doi.org/10.1016/j.autcon.2015.06.005
- S. S. Leu, C.M. Chang, “Bayesian-network-based safety risk assessment for steel construction projects,” Accid. Anal. Prev., vol. 54, pp. 122–133, 2013, doi: https://doi.org/10.1016/j.aap.2013.02.019
- C. Zhou, L. Y. Ding, R. He, “PSO-based Elman neural network model for predictive control of air chamber pressure in slurry shield tunneling under Yangtze River,” Autom. Constr., vol. 36, pp. 208–217, 2013, doi: https://doi.org/10.1016/j.autcon.2013.03.001
- M. J. Thaheem, A. De Marco, K. Barlish, “A Review of Quantitative Analysis Techniques for Construction Project Risk Management,” in Creative Construction Conference, 2012, no. May 2014, pp. 656–666.
- H. P. Tserng, G. F. Lin, L. K. Tsai, P. C. Chen, “An enforced support vector machine model for construction contractor default prediction,” Autom. Constr., vol. 20, no. 8, pp. 1242–1249, 2011, doi: https://doi.org/10.1016/j.autcon.2011.05.007
- S. S. Leu, T. J. W. Adi, “Probabilistic prediction of tunnel geology using a Hybrid Neural-HMM,” Eng. Appl. Artif. Intell., vol. 24, no. 4, pp. 658–665, 2011, doi: https://doi.org/10.1016/j.engappai.2011.02.010
- V. T. Luu, S. Y. Kim, N. Van Tuan, S. O. Ogunlana, “Quantifying schedule risk in construction projects using Bayesian belief networks,” Int. J. Proj. Manag., vol. 27, no. 1, pp. 39–50, 2009, doi: https://doi.org/10.1016/j.ijproman.2008.03.003
- Z. Y. Zhao, Q. L. Lv, W. Y. You, “Applying Dependency Structure Matrix and Monte Carlo simulation to predict change in construction project,” in 2008 International Conference on Machine Learning and Cybernetics, 2008, pp. 670–675. doi: https://doi.org/10.1109/ICMLC.2008.4620489
- Ö. Önder, Ö. Ahmet, “Construction Project Network Evaluation with Correlated Schedule Risk Analysis Model,” J. Constr. Eng. Manag., vol. 134, no. 1, pp. 49–63, Jan. 2008, doi: https://doi.org/10.1061/(ASCE)0733-9364(2008)134:1(49)
- Y. H. Kwak, L. Ingall, “Exploring Monte Carlo Simulation Applications for Project Management,” Risk Manag., vol. 9, no. 1, pp. 44–57, Apr. 2007, doi: https://doi.org/10.1057/palgrave.rm.8250017
- Y. Liu, K. Ruan, “Application of Kano Model in Risk Identification of Software Development Projects,” BCP Bus. Manag., vol. 40 SE-Articles, pp. 33–39, Mar. 2023, doi: https://doi.org/10.54691/bcpbm.v40i.4357
- N. Fariq, S. Ismail, N. Ab Rani, “Cost Risk of Railway Project and Its Effective Mitigation Strategies,” J. Crit. Rev., vol. 7, pp. 1275–1280, Jul. 2020, doi: https://doi.org/10.31838/jcr.07.08.262
- R. M. Iqbal, H. Purwanto, “Risk Analysis of Investment Costs in PPP Projects Using Monte Carlo Simulation,” Log. J. Ranc. Bangun dan Teknol., vol. 22, no. 1 SE-Articles, pp. 13–21, Mar. 2022, doi: https://doi.org/10.31940/logic.v22i1.13-21
- J. Delaney, Construction Program Management. in Best Practices and Advances in Program Management Series. Taylor & Francis, 2013.
- S. H. Fateminia, A. R. Fayek, “Hybrid fuzzy arithmetic-based model for determining contingency reserve,” Autom. Constr., vol. 151, p. 104858, 2023, doi: https://doi.org/10.1016/j.autcon.2023.104858
- W. J. D. Pico, Project Control: Integrating Cost and Schedule in Construction. in RSMeans. Wiley, 2013.
- M. Alshawabkeh, X. Li, M. Sullabi, “New Information Security Risk Management Framework as an Integral Part of Project Life Cycle BT," - Proceedings of the 2019 5th International Conference on Humanities and Social Science Research (ICHSSR 2019), Atlantis Press, May 2019, pp. 133–139, doi: https://doi.org/10.2991/ichssr-19.2019.24
- J. M. Nicholas, H. Steyn, Project Management for Business, Engineering, and Technology: Principles and Practice. Routledge, 2008.
- S. Mubin, S. Jahan, E. Gavrishyk, “Monte Carlo Simulation and Modeling of Schedule, Cost and Risks of Dasu Hydropower Project,” Mehran Univ. Res. J. Eng. Technol. Vol 38 No 3 July Issue, 2019, doi: https://doi.org/10.22581/muet1982.1903.03
- A. De Marco, Project Management for Facility Constructions: A Guide for Engineers and Architects, Springer Cham, 2nd ed., 2018, doi: https://doi.org/10.1007/978-3-319-75432-1
- B. J. Jackson, Construction Management JumpStart: The Best First Step Toward a Career in Construction Management. in Serious skills. Wiley, 2010.
- M. Kassem, M. A. Khoiry, N. Hamzah, “Evaluation of Risk Factors Affecting on Oil and Gas Construction Projects in Yemen,” International Journal of Engineering & Technology, vol. 8, no. 1.2, pp. 6–14, Jan. 2019, doi: https://doi.org/10.14419/ijet.v8i1.2.24864
- M. A. Akhund, A. R. Khoso, J. S. Khan, H. U. Imad, K. M. Memon, “Prompting Cost Overrun Factors during PCP in Construction Projects,” Indian Journal of Science and Technology, vol. 12, no. 4, pp. 1-7, 2019, doi: https://doi.org/10.17485/ijst/2019/v12i4/140936
- A. Firdaus, T. H. Setiawan, E. L. Sitepu “The risk rating of delay risk factor of road construction project in Papua,” Malaysian J. Civ. Eng., vol. 29, no. 3 SE-Articles, 2018, doi: https://doi.org/10.11113/mjce.v29.15608
- E. Quezon, M. Mengistu, Emer T. Quezon, G. Kebede, “Assessment of Factors Affecting Labor Productivity on Road Construction Projects in Oromia Region, Bale Zone,” International Journal of Scientific & Engineering Research, vol. 7, no. 11, pp. 899-910, 2016.
- R. F. Aziz, A. A. Abdel-Hakam, “Exploring delay causes of road construction projects in Egypt,” Alexandria Eng. J., vol. 55, no. 2, pp. 1515–1539, 2016, doi: https://doi.org/10.1016/j.aej.2016.03.006
- G. S. A. Elawi, M. Algahtany, D. Kashiwagi, “Owners’ Perspective of Factors Contributing to Project Delay: Case Studies of Road and Bridge Projects in Saudi Arabia,” Procedia Eng., vol. 145, pp. 1402–1409, 2016, doi: https://doi.org/10.1016/j.proeng.2016.04.176
- J. Park, B. Park, Y. Cha, C. Hyun, “Risk Factors Assessment Considering Change Degree for Mega-projects,” Procedia - Soc. Behav. Sci., vol. 218, pp. 50–55, 2016, doi: https://doi.org/10.1016/j.sbspro.2016.04.009
- Y. H. Suseno, M. A. Wibowo, B. H. Setiadji, “Risk Analysis of BOT Scheme on Post-construction Toll Road,” Procedia Eng., vol. 125, pp. 117–123, 2015, doi: https://doi.org/10.1016/j.proeng.2015.11.018
- M. S. B. A. Abd El-Karim, O. A. Mosa El Nawawy, A. M. Abdel-Alim, “Identification and assessment of risk factors affecting construction projects,” HBRC J., vol. 13, no. 2, pp. 202–216, 2017, doi: https://doi.org/10.1016/j.hbrcj.2015.05.001
- A. Dziadosz, M. Rejment, “Risk Analysis in Construction Project - Chosen Methods,” Procedia Eng., vol. 122, pp. 258–265, 2015, doi:
- https://doi.org/10.1016/j.proeng.2015.10.034
- S. Goh, H. Abdul-rahman, “The Identification and Management of Major Risks in the Malaysian Construction Industry,” J. Constr. Dev. Ctries., vol. 18, no. 1, pp. 19–32, 2013.
- R. F. Aziz, “Ranking of delay factors in construction projects after Egyptian revolution,” Alexandria Eng. J., vol. 52, no. 3, pp. 387–406, 2013, doi: https://doi.org/10.1016/j.aej.2013.03.002
- T.-C. Tsai, M. L. Yang, “Risk assessment of design-bid-build and design-build building projects,” J. Oper. Res. Soc. Japan, vol. 53, no. 1, pp. 20–39, 2010, doi: https://doi.org/10.15807/jorsj.53.20
- B. A. K. S. Perera, I. Dhanasinghe, R. Rameezdeen, “Risk management in road construction: The case of Sri Lanka,” Int. J. Strateg. Prop. Manag., vol. 13, no. 2, pp. 87–102, Jun. 2009, doi: https://doi.org/10.3846/1648-715X.2009.13.87-102
- A. S. Bu-Qammaz, I. Dikmen, M. T. Birgonul, “Risk assessment of international construction projects using the analytic network process,” Can. J. Civ. Eng., vol. 36, no. 7, pp. 1170–1181, Jul. 2009, doi: https://doi.org/10.1139/L09-061
- H. Makarand, S. Aury, “ICRAM-1: Model for International Construction Risk Assessment,” J. Manag. Eng., vol. 16, no. 1, pp. 59–69, Jan. 2000, doi: https://doi.org/10.1061/(ASCE)0742-597X(2000)16:1(59)
- H. Zhi, “Risk management for overseas construction projects,” Int. J. Proj. Manag., vol. 13, no. 4, pp. 231–237, 1995, doi: https://doi.org/10.1016/0263-7863(95)00015-I
- F. Santos, S. Cabral, “FMEA and PMBOK applied to project risk management,” J. Inf. Syst. Technol. Manag., vol. 5, Aug. 2008, doi: https://doi.org/10.4301/S1807-17752008000200008