683
Views
1
CrossRef citations to date
0
Altmetric
Articles

Application of multi-criteria decision making for evaluation of key performance indicators of integrated project delivery and BIM model for an infrastructure transportation project in Western India

, &

References

  • Abbasi M, Hosnavi R, Tabrizi B. 2013. Application of fuzzy DEMATEL in risks evaluation of knowledge-based networks. J Optim. 2013(2):1–7.
  • Abdirad H, Pishdad-Bozorgi P. 2014. Developing a framework of metrics to assess collaboration in integrated project delivery. 50th Annual International Conference Proceedings; p. 1–9.
  • Abdirad H. 2017. Metric-based BIM implementation assessment: a review of research and practice. Architect Eng Des Manage. 13(1):52–78.
  • Ahmed AL, Kassem M. 2019. Micro BIM adoption: identifying cause and effect factors and analysing their inter-dependencies using a fuzzy DEMATEL approach. Proceedings of Creative Construction Conference 2019, Budapest, Hungary. vol. 121; pp. 878–885.
  • Ahuja R, Sawhney A, Jain M, Arif M, Rakshit S. 2020. Factors influencing BIM adoption in emerging markets – the case of India. Int J Construct Manage. 20(1):65–76.
  • Ali H, Al-Sulaihi IA, Al-Gahtani KS. 2013. Indicators for measuring performance of building construction companies in Kingdom of Saudi Arabia. J King Saud Univ Eng Sci. 25(2):125–134.
  • Asmar EM, Hanna AS, Loh WY. 2013. Quantifying performance for the integrated project delivery system as compared to established delivery systems. J Constr Eng Manage. 139(11):04013012–04013014.
  • Asmar EM, Hanna AS, Loh WY. 2015. Evaluating integrated project delivery using the project quarterback rating. J Constr Eng Manage. 142(1):1–15.
  • Azhar N, Kang Y, Ahmad IU. 2014. Factors influencing integrated project delivery in publicly owned construction projects: an information modelling perspective. Proc Eng. 77(12):213–221.
  • Bapat H, Sarkar D, Gujar R. 2021. Application of integrated fuzzy FCM-BIM-IoT for sustainable material selection and energy management of metro rail station box project in western India. Innov Infrastruct Solut. 6(2):1–18.
  • Bapat H, Sarkar D. 2019. 6D energy efficient metro rail station design using BIM: a review of literature. University of Oxford, International Conference on Innovative Applied Energy (IAPE’19), Oxford, United Kingdom; p. 1–3.
  • Bapat H, Sarkar D. 2019. Key performance indicators and 4D modelling of metro rail project for clash detection through BIM. OTMC 2019 Conference, Croatian Association for Construction Management, Zagreb, Croatia; p. 487–492.
  • Chang B, Chang CW, Wu CH. 2011. Fuzzy DEMATEL method for developing supplier selection criteria. Expert Syst Appl. 38(3):1850–1858.
  • Chang CY, Pan W, Howard R. 2017. Impact of building information modeling implementation on the acceptance of integrated delivery systems: structural equation modeling analysis. J Constr Eng Manage. 143(8):04017010–04017044.
  • Eastman C, Teicholz P, Sacks R, Liston K. 2008. BIM handbook: a guide to building information modeling for owners, managers, designers, engineers, and contractors. 2nd ed. NJ: Wiley.
  • Durán C, Sepulveda J, Carrasco R. 2018. Determination of technological risk influences in a port system using DEMATEL. Decis Sci Lett. 7(1):1–12.
  • Fernández-Sánchez G, Rodríguez-López F. 2010. A methodology to identify sustainability indicators in construction project management – application to infrastructure projects in Spain. Ecol Indic. 10(6):1193–1201.
  • Fosu R. 2017. Decision making processes for BIM software selection. In: The U.S. A.E.C. industry: developing a unified, streamlined framework. Purdue Polytechnic Doctoral Dissertations; p. 2.
  • Hiete M, Merz M, Comes T, Schultmann F. 2012. Trapezoidal fuzzy DEMATEL method to analyze and correct for relations between variables in a composite indicator for disaster resilience. Or Spectr. 34(4):971–995.
  • Ilozor BD, Kelly DJ, Construction Management Programs, Eastern Michigan University 2012. Building information modeling and integrated project delivery in the commercial construction industry: a conceptual study. EPPM J. 2(1):23–36.
  • Jin R, Zou Y, Gidado K, Ashton P, Painting N. 2019. Scientometric analysis of BIM-based research in construction engineering and management. ECAM. 26(8):1750–1776.
  • Joy CAB. 2017. Project management KPI’s in infrastructure developments. Int J Eng Technol Sci Res. 4(9):422–431.
  • Kraatz JA, Sanchez AX, Hampson KD. 2014. Digital modeling, integrated project delivery and industry transformation: an Australian case study. Buildings. 4(3):453–466.
  • Liao L, Teo EAL, Chang R. 2019. Reducing critical hindrances to building information modeling implementation: the case of the Singapore construction industry. Appl Sci. 9(18):3833–3854.
  • Liu H, Long H, Li X. 2020. Identification of critical factors in construction and demolition waste recycling by the grey-DEMATEL approach: a Chinese perspective. Environ Sci Pollut Res Int. 27(8):8507–8525.
  • Liu PCY, Lo HW, Liou JJH. 2020. A combination of DEMATEL and BWM-based ANP methods for exploring the green building rating system in Taiwan. Sustainability. 12(8):1–19.
  • Luth GP, Schorer A, Turkan Y. 2014. Lessons from using BIM to increase design-construction integration. Pract Period Struct Des Constr. 19(1):103–110.
  • Ma G, Jia J, Ding J, Shang S, Jiang S. 2019. Interpretive structural model based factor analysis of BIM adoption in Chinese construction organizations. Sustainability. 11(7):1982–1998.
  • Manzione L, Wyse M, Sacks R, BErlo LV, Melhado SB. 2011. Key performance indicators to analyze and improve management of information flow in the BIM design process. Proceedings of the CIB W78-W102 2011: International Conference, Sophia Antipolis, France; p. 1–11.
  • Mostafa K, Moslem S, Saeed B. 2020. BIM applications toward key performance indicators of construction projects in Iran. Int J Construct Manage 20(4):305–320.
  • Opricovic S, Tzeng GH. 2003. Defuzzification within a multicriteria decision model. Int J Unc Fuzz Knowl Based Syst. 11(05):635–652.
  • Patel TD, Haupt TC, Bhatt T. 2019. Fuzzy probabilistic approach for risk assessment of BOT toll roads in Indian context. JEDT. 18(1):251–269.
  • Patel T, Patel V. 2020. Data privacy in construction industry by privacy-preserving data mining (PPDM) approach. Asian J Civ Eng. 21(3):505–515.
  • Qin X, Shi Y, Lyu K, Mo Y. 2020. Using a Tam-Toe model to explore factors of building information modelling (BIM) adoption in the construction industry. J Civil Eng Manage. 26(3):259–277.
  • Ranganath N, Sarkar D, Patel P, Patel S. 2020. Application of fuzzy TOPSIS method for risk evaluation in development and implementation of solar park in India. Int J Construct Manage. 1–11 DOI: 10.1080/15623599.2020.1826027.
  • Roy D, Malsane S, Samanta PK. 2018. Identification of critical challenges for adoption of IPD. Lean Construct J. 15:1–15.
  • Sarkar D, Dutta G. 2011. A framework for project risk management, for the underground corridor construction of metro rail. Int J Construct Project Manage. 4(1):21–38.
  • Sarkar D, Singh M. 2021. Development of risk index for mass rapid transit system project in Western India through application of fuzzy analytical hierarchy process (FAHP). Int J Construct Manage. 21(5):439–451. (Published Online)
  • Sarkar D, Singh M. 2020. Risk analysis by integrated fuzzy expected value method and fuzzy failure mode and effect analysis for an elevated metro rail project of Ahmedabad, India. Int J Construct Manage. 1–12. DOI: 10.1080/15623599.2020.1742634.
  • Sarkar D, Raghavendra HB, Ruparelia M. 2015. Role of key performance indicators for evaluating the usage of BIM as tool for facility management of construction projects. Int J Civil Struct Eng. 5(4):370–378.
  • Sankar JR, Felix A. 2017. An improved fuzzy DEMATEL technique and its applications. Int J Pharm Technol. 8(3):19122–19134.
  • Seker S, Zavadskas EK. 2017. Application of fuzzy DEMATEL method for analyzing occupational risks on construction sites. Sustainability. 9(11):2083–2102.
  • Singh M, Sarkar D, Vara D. 2019. Comparative study of risk indices for infrastructure transportation project using different methods. J Inst Eng India Ser A. 100(2):275–286.
  • Takim R, Akintoye A. 2002. Performance indicators for successful construction project performance. 18th Annual ARCOM Conference, vol. 2(9); p. 545–555.
  • Tatsiana H, Saad AJ. 2007. Identifying the KPIs for the design stage based on the main design sub-process. Proceedings of Joint CIB Conference: Performance and Knowledge Management; Rotterdam, Netherlands; p. 14–23.
  • Tripathi KK, Jha KN. 2018. Determining success factors for a construction organization: a structural equation modeling approach. J Manage Eng. 34 (1):04017015–04017050.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.