Designing a framework for Subcontractor’s selection in construction projects using MCDM model

Authors

  • Ravande Kishore Department of Civil Engineering, UCE, Osmania University, Telangana State, India
  • Seyed Ali Mousavi Dehmourdi Department of Civil Engineering, UCE, Osmania University, Telangana State, India
  • M. Gopal Naik Department of Civil Engineering, UCE, Osmania University, Telangana State, India
  • Malek Hassanpour Department of Environmental science, UCS, Osmania University, Telangana State, India

DOI:

https://doi.org/10.31181/oresta20303048k

Keywords:

Subcontractor, Construction projects, MCDM, Model

Abstract

The difficulties discovered in selecting subcontractors via a simple method of bid price as the main factor along with an initial screening of subcontractor properties impressed us to look at a little beyond the existing trend and offer a coherent procedure for this purpose. Despite this, we know that the main factor in outsourcing a project is a bid price and this is in full agreement with the existing circumstances of subcontractor selection in Iran, but the objective of this research was integrating all criteria with the same importance for selecting a subcontractor. The questionnaire was used for collecting initial data of research to pass through the Analytic Hierarchy Process (AHP) and Multi-Criteria Decision-Making (MCDM) model of Simple Additive Weighting (SAW). The findings showed the priority in subcontractors' selection as Hejrat Manesh Izeh (1), Khesht Sazan Karoun (2), Yeganeh saze omid (3), Sakht karan Moongasht (4), Darya Sanat Khavarmianeh (5), Omran mehragane Yosef (6) respectively. The present study offered a coherent procedure to select the subcontractor regardless of the bid price importance and integrating all interfering criteria in the same importance.

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Published

2020-09-24

How to Cite

Kishore, R., Mousavi Dehmourdi, S. A., Naik, M. G., & Hassanpour, M. (2020). Designing a framework for Subcontractor’s selection in construction projects using MCDM model. Operational Research in Engineering Sciences: Theory and Applications, 3(3), 48–64. https://doi.org/10.31181/oresta20303048k