Characterization The Factors Influencing Construction Productivity Using Index System and D-S Evidence Theory

Authors

  • Buroog Basheer Mahmood
  • Alaa Khurbat Almosawi University of Wasit

DOI:

https://doi.org/10.31185/ejuow.Vol12.Iss2.521

Keywords:

Productivity, Factors, Construction, D-S evidence theory, Analytic hierarchy process

Abstract

It is a very importance, both theoretically and practically, to create an indicator system to evaluate the factors affecting construction productivity. This paper uses the expert consultation opinion, the questionnaire survey technique, and the documentary research methods to analyze the and prioritizing influencing factors on construction productivity and evaluate it from the aspects of construction, management, special circumstances, and building the evaluation index system of those factors. Based on the principle of Dempster-Schaffer evidence theory to make group decisions by constructing a comprehensive judgment matrix (to effectively gather the opinions of experts and solve the problem of conflicting opinions, then determine the weights of the indicators through the analytical hierarchy process,. In the end, an index system was obtained to evaluate the factors affecting construction productivity in Iraqi projects, including three first-level indicators/indicators, seven secondary indicators, and 56 third-level indicators, which provides theoretical guidance for project departments in order to study these factors. And work towards developing a system to effectively increase project productivity.

References

El-Gohary K, Aziz R. (2014). “Factors influencing construction labour productivity in Egypt”. Journal Manage Eng. V.30(1):1–9.

Mani, N., Kisi, K. P., Rojas, E. M., & Foster, E. T. (2017). “Estimating construction labor productivity frontier: Pilot study”. Journal of Construction Engineering and Management, V.143(10), p. 04017077.

Chia FC, Skitmore M, Runeson G, Bridge A. (2012). “An analysis of construction productivity in Malaysia”. Construction Management Economy. V.30 (6):1–1069.

Kazaz A, Ulubeyli S, Acikara T, Er B. (2016). “Factors affecting labour productivity: perspectives of craft workers”. Proceedings of Creative Construction Conference, Budapest, Hungary, pp. 432–437.

Dai J, Goodrum PM, Maloney WF. (2009a). “Construction craft workers’ perceptions of the factors affecting their productivity”. Journal Construction Eng Manage. V.135 (3):217–226.

Nasirzadeh F., Rostamnezhad M., G. Carmichael, Khosravi A. & Aisbett B. (2022): “Labour productivity in Australian building construction projects: a roadmap for improvement”, International Journal of Construction Management, V.22, P. 2079-2088.

Pan NF. (2005). “Assessment of productivity and duration of highway construction activities subject to impact of rain”. Journal Expert System Application. V.28(2):313–326.

Taylor CS, Hanna AS, Sullivan KT. (2005). “Impact of extended overtime on construction labour”. Journal Construction Eng Manage. V.131 (6):734–739.

Enshassi A, Mohamed S, Mustafa ZA, Mayer PE. (2007). “Factors affecting labour productivity in building projects in the Gaza Strip”. Journal Civil Eng Manage. V.13(4) p:245–254.

Hanna AS, Chul-Ki C, Sullivan KT, Lackney JA. (2008). “Impact of shift work on labour productivity for labour intensive contractor”. Journal Construction Eng Manage. V.134 (3):197–204.

Zhai D, Goodrum PM, Haas CT, Caldas CH. (2009). “Relation between automation and integration of construction information systems and labour productivity”. Journal Construction Eng Manage. V.135(8):746–753.

Goodrum PM, Zhai D, Yasin MF. (2009). “Relationship between changes in material technology and construction productivity”. Journal Construction Eng Manage. V.135 (4):278–287.

Watkins M, Mukherjee A, Onder N, Mattila K. (2009). “Using agent-based modelling to study construction labour productivity as an emergent property of individual and crew interactions”. Journal Construction Eng Manage. V.135(7): 657–667.

Gatti UC, Migliaccio GC, Bogus SM, Schneider S. 2014. “An exploratory study of the relationship between construction workforce physical strain and task level productivity”. Construction Manage Economy. V.32(6):548–564.

Nasirzadeh F, Khanzadi M, Mir M. 2018. “A hybrid simulation framework for modelling construction projects using agent-based modelling and system dynamics: an application to model construction workers’ safety behaviour”. Int Journal Construction Manage. V.18(2):132–143.

,Saaty, T.L. (2003). “Decision-making with the AHP: Why is the principal eigenvector necessary?”. European Journal of Operational Research, V.145, p 85–91.

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Published

2024-04-01

How to Cite

Mahmood, B., & Almosawi, A. K. (2024). Characterization The Factors Influencing Construction Productivity Using Index System and D-S Evidence Theory. Wasit Journal of Engineering Sciences, 12(2), 71-79. https://doi.org/10.31185/ejuow.Vol12.Iss2.521