Using a hybrid system dynamics and interpretive structural modeling for risk analysis of design phase of the construction projects

References

• Abdel-Hamid T. 1984. The dynamics of software development project management: an integrative system dynamics perspective [dissertation]. Massachusetts (MA): Sloan School of Management, MIT.
   Google Scholar
• Alarcon LF, Ashley DB, Hanily AS, Molenaar KR, Ungo R. 2011. Risk planning and management for the Panama canal expansion program. J Constr Eng Manage. 137(10):762–771.
   Web of Science ®Google Scholar
• Anantatmula VS. 2015. Strategies for enhancing project performance. J Manage Eng. 31(6):04015013.
   Web of Science ®Google Scholar
• Attri R, Dev N, Sharma V. 2013. Interpretive Structural Modelling (ISM) approach: an overview. Res J Manage Sci. 2(2):3–8.
   Google Scholar
• Boateng P, Chen Z, Ogunlana S, Ikediashi D. 2012. A system dynamics approach to risks description in megaprojects development. OTMCJ. 4(3):593–603.
   Google Scholar
• Boateng P, Chen Z, Ogunlana S. 2016. A dynamic framework for managing the complexities of risks in megaprojects. Int J Tech Manage Res. 5:1–13.
   Google Scholar
• Carpenter N, Bausman CD. 2016. Project delivery method performance for public school construction: Design-bid-build versus CM at risk. J Constr Eng Manage. 142(10):05016009.
   Web of Science ®Google Scholar
• Charan P, Shankar R, Baisya R. 2008. Analysis of interactions among the variables of supply chain performance measurement system implementation. Business Process Mgmt J. 14(4):512–529.
   Google Scholar
• Choudhry RM, Aslam MA, Hinze JW, Arain FM. 2014. Cost and schedule risk analysis of bridge construction in Pakistan: establishing risk guidelines. J Constr Eng Manage. 140(7):04014020.
   Web of Science ®Google Scholar
• Cohen MW, Palmer GR. 2004. Project risk identification and management. AACE Int Trans. INT. 01 1–5.
   Google Scholar
• Cooper K. 1980. Naval ship production: a claim settled and a framework built. Interface. 10(6):20–36.
   Google Scholar
• Fang C, Marle F. 2012. A simulation-based risk network model for decision support in project risk management. J Dec Supp Sys. 52(3):635–644.
   Web of Science ®Google Scholar
• Ford DN. 1995. The dynamics of project management: An investigation of the impacts of project process and coordination on performance [dissertation]. Massachusetts (MA): Massachusetts Institute of Technology, Cambridge.
   Google Scholar
• Ford D, Sterman J. 1998. Dynamic modeling of product development processes. Syst Dyn Rev. 14(1):31–68.
   Web of Science ®Google Scholar
• Georgiadis P, Besiou M. 2008. Sustainability in electrical and electronic equipment closed-loop supply chains: A system dynamics approach. J Cleaner Prod. 16(15):1665–1678.
   Web of Science ®Google Scholar
• Govan P, Damnjanovic I. 2016. The resource-based view on project risk management. J Constr Eng Manage. 142(9):04016034.
   Web of Science ®Google Scholar
• Gray C, Larson E. 2006. Project management: The managerial process. 3rd ed. New York, NY: McGraw-Hill.
   Google Scholar
• Gregoriades A, Karakostas B. 2004. Unifying business objects and system dynamics as a paradigm for developing decision support systems. Decis Support Syst. 37(2):307–311.
   Web of Science ®Google Scholar
• Han S, Love P, Pena-Mora F. 2013. A system dynamics model for assessing the impacts of design errors in construction projects. Math Comput Model. 57(9–10):2044–2053.
   Google Scholar
• Iyer KC, Sagheer M. 2010. Hierarchical structuring of PPP risks using interpretative structural modeling. J Constr Eng Manage. 136(2):151–159.
   Web of Science ®Google Scholar
• Jiang Z, Fang D, Zhang M. 2015. Understanding the causation of construction workers’ unsafe behaviors based on system dynamics modeling. J Manage Eng. 31(6):04014099.
   Web of Science ®Google Scholar
• Kasperek D, Maisenbacher S, Maurer M. 2014. Structure-based analysis of dynamic engineering process behavior. Proceedings of the 8th Annual IEEE Syst Conf; Ottawa, ON, Canada, IEEE. p. 83–88.
   Google Scholar
• Lee S, Pena-Mora F, Park M. 2005. Quality and change management model for large scale concurrent design and construction projects. J Constr Eng Manage. 131(8):890–902.
   Web of Science ®Google Scholar
• Lehr CB, Thun J, Milling PM. 2013. From waste to value – a system dynamics model for strategic decision-making in closed-loop supply chains. Int J Prod Res. 51(13):4105–4116.
   Web of Science ®Google Scholar
• Li N, Fang D, Sun Y. 2016. Cognitive psychological approach for risk assessment in construction projects. J Manage Eng. 32(2):04015037.
   Web of Science ®Google Scholar
• Liu J, Xie Q, Xia B, Bridge AJ. 2017. Impact of design risk on the performance of design-build projects. J Constr Eng Manage. 143(6):04017010.
   Web of Science ®Google Scholar
• Liu J, Zhao X, Yan P. 2016. Risk paths in international construction projects: case study from Chinese contractors. J Constr Eng Manage. 142(6):05016002.
   Web of Science ®Google Scholar
• Love PE, Mandal P, Smith J, Li H. 2000. Modelling the dynamics of design error induced rework in construction. Const Manage Eco. 18(5):567–574.
   Google Scholar
• Lyneis J, Cooper K, Els S. 2001. Strategic management of complex projects: a case study using system dynamics. Syst Dyn Rev. 17(3):237–260.
   Web of Science ®Google Scholar
• Marco AD, Rafele C, Thaheem MJ. 2016. Dynamic management of risk contingency in complex design-build projects. J Constr Eng Manage. 142(2):04015080.
   Web of Science ®Google Scholar
• Meier H, Boßlau M. 2013. Design and engineering of dynamic business models for industrial product-service systems. In: Shimomura Y, Kimita K, editors. Proceedings of the Philosopher's Stone for Sustainability; Berlin, Heidelberg: Springer, p. 179–184.
   Google Scholar
• Mingers J, White L. 2010. A review of the recent contribution of systems thinking to operational research and management science. Eur J Oper Res. 207(3):1147–1161.
   Web of Science ®Google Scholar
• Moradi S, Nasirzadeh F, Golkhoo F. 2015. A hybrid SD– DES simulation approach to model construction projects. Constr Innov. 15(1):66–83.
   Google Scholar
• Mulholland B, Christian J. 1999. Risk assessment in construction schedules. J Constr Eng Manage. 125(1):8–15.
   Web of Science ®Google Scholar
• Nasirzadeh F, Afshar A, Khanzadi M, Howick S. 2008. Integrating system dynamics and fuzzy logic modeling for construction risk management. J Constr Manage Econ. 26(11):1197–1212.
   Google Scholar
• Nasirzadeh F, Affshar A, Khanzadi M, Rezaie M. 2014. Dynamic modeling of the quantitative risk allocation in construction projects. Int J Project Manage. 32(3):442–451.
   Web of Science ®Google Scholar
• Nguyen LD, Ogunlana SO. 2005. Modeling the dynamics of an infrastructure project. Comp-Aided Civil Eng. 20(4):265–279.
   Web of Science ®Google Scholar
• Nieto-Morote A, Ruz-Vila F. 2011. A fuzzy approach to construction project risk assessment. Int J Project Manage. 29(2):220–231.
   Web of Science ®Google Scholar
• Ozcan-Deniz G, Zhu Y. 2016. A system dynamics model for construction method selection with sustainability considerations. J Cleaner Prod. 121:33–44.
   Web of Science ®Google Scholar
• Park M, Pena-Mora F. 2004. Reliability buffering for construction projects. J Const Eng Manag. 130(5):626–637.
   Web of Science ®Google Scholar
• Project Management Institute. 2008. A guide to the project management body of knowledge (PMBOK guide). Newtown Square (PA): Project Management Institute.
   Google Scholar
• Richardson GP. 2011. Reflections on the foundations of system dynamics. Syst Dyn Rev. 27(3):219–243.
   Web of Science ®Google Scholar
• Richardson G, Pugh AL. 1980. Introduction to system dynamics modeling with dynamo. Massachusetts (MA): MIT Press, Cambridge.
   Google Scholar
• Rodrigues A, Bowers J. 1996. System dynamics in project management: a comparative analysis with traditional methods. Syst Dyn Rev. 12(2):121–139.
   Web of Science ®Google Scholar
• Rodrigues A, Williams T. 1998. System dynamics in project management: assessing the impacts of client behavior on project performance. J Oper Res Soc. 49(1):2–15.
   Web of Science ®Google Scholar
• Sage AP. 1977. Interpretive structural modeling: Methodology for large scale systems. New York (NY): McGraw-Hill.
   Google Scholar
• Salah A, Moselhi O. 2016. Risk identification and assessment for engineering procurement construction management projects using fuzzy set theory. Can J Civ Eng. 43(5):429–443.
   Web of Science ®Google Scholar
• Shahabadkar P. 2012. Deployment of interpretive structural modelling methodology in supply chain management – An overview. Int J Ind Eng Prod Res. 23(3):195–205.
   Google Scholar
• Sing MCP, Love PED, Edwards DJ, Liu J. 2016. Dynamic modeling of workforce planning for infrastructure projects. J Manage Eng. 32(6):04016019.
   Web of Science ®Google Scholar
• Sterman JD. 2000. Business dynamics: Systems thinking and modeling for a complex world. Chicago. IL: Irwin/McGraw Hill.
   Google Scholar
• Tavakolan M, Etemadinia H. 2017. Fuzzy weighted interpretive structural modeling: Improved method for identification of risk interactions in construction projects. J Constr Eng Manage. 143(11):04017084.
   Web of Science ®Google Scholar
• Thirupathi RM, Vinodh S. 2016. Application of interpretive structural modelling and structural equation modelling for analysis of sustainable manufacturing factors in Indian automotive component sector. Int J Prod Res. 54(22):6661–6682.
   Web of Science ®Google Scholar
• Tran DQ, Molenaar KR. 2015. Risk-based project delivery selection model for highway design and construction. J Constr Eng Manage. 141(12):04015041.
   Web of Science ®Google Scholar
• Wan J, Liu Y. 2014. A system dynamics model for risk analysis during project construction process. JSS. 2(6):451–454.
   Google Scholar
• Wang J, Yuan H. 2017. System dynamics approach for investigating the risk effects on schedule delay in infrastructure projects. J Manage Eng. 33(1):04016029.
   Web of Science ®Google Scholar
• Warfield JW. 1974. Developing interconnected matrices in structural modelling. IEEE Trans Syst Man Cybern. SMC-4(1):74–81.
   Google Scholar