Designing a framework for Subcontractor’s selection in construction projects using 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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References
Akintan, O. A., & Morledge, R. (2013). Improving the collaboration between main contractors and subcontractors within traditional construction procurement. Journal of Construction Engineering, 20(13)1-11. DOI: https://doi.org/10.1155/2013/281236
Araújo, M. C. B., Alencar, L. H., & Mota, C. M. (2015). Contractor selection in construction industry: A multicriteria model. IEEE International Conference on Industrial Engineering and Engineering Management. Singapore, Singapore, 519-523. DOI: https://doi.org/10.1109/IEEM.2015.7385701
Borujeni, M. P., & Gitinavard, H. (2017). Evaluating the sustainable mining contractor selection problems: An imprecise last aggregation preference selection index method. Journal of Sustainable Mining, 16(4), 207-218. DOI: https://doi.org/10.1016/j.jsm.2017.12.006
Bowen, P., Akintoye, A., Pearl, R., & Edwards, P. J. (2007). Ethical behavior in the South African construction industry. Construction Management and Economics, 25(6), 631-648. DOI: https://doi.org/10.1080/01446190701225707
Cheaitou, A., Larbi, R., & Al Housani, B. (2019). Decision making framework for tender evaluation and contractor selection in public organizations with risk considerations. Socio-Economic Planning Sciences, 68, 100620, 1-12. DOI: https://doi.org/10.1016/j.seps.2018.02.007
Chiang, F. Y., Vincent, F. Y., & Luarn, P. (2017). Construction contractor selection in Taiwan using AHP. International Journal of Engineering and Technology, 9(3), 211-215. DOI: https://doi.org/10.7763/IJET.2017.V9.972
Clough, R. H., Sears, G. A., Sears, S. K., Segner, R. O., & Rounds, J. L. (2015). Construction contracting: A practical guide to company management. John Wiley & Sons. USA.
Doloi, H. (2009). Analysis of pre‐qualification criteria in contractor selection and their impacts on project success. Construction Management and Economics, 27(12), 1245-1263. DOI: https://doi.org/10.1080/01446190903394541
Fong, P. S. W., & Choi, S. K. Y. (2000). Final contractor selection using the analytical hierarchy process. Construction management and economics, 18(5), 547-557. DOI: https://doi.org/10.1080/014461900407356
Hartmann, A., Ling, F. Y. Y., & Tan, J. S. (2009). Relative importance of subcontractor selection criteria: evidence from Singapore. Journal of construction engineering and management, 135(9), 826-832. DOI: https://doi.org/10.1061/(ASCE)0733-9364(2009)135:9(826)
Hassanpour M., Pamucar D. (2019). Evaluation of Iranian household appliance industries using MCDM models. Operational Research in Engineering Sciences: Theory and Applications, 2(3), 1-25
Hatush, Z., & Skitmore, M. (1997a). Criteria for contractor selection. Construction Management & Economics, 15(1), 19-38. DOI: https://doi.org/10.1080/014461997373088
Hatush, Z., & Skitmore, M. (1997b). Evaluating contractor prequalification data: selection criteria and project success factors. Construction Management and Economics, 15(2), 129-147. DOI: https://doi.org/10.1080/01446199700000002
Hatush, Z., & Skitmore, M. (1998). Contractor selection using multi-criteria utility theory: an additive model. Building and environment, 33(2-3), 105-115. DOI: https://doi.org/10.1016/S0360-1323(97)00016-4
Hinze, J., & Tracey, A. (1994). The contractor-subcontractor relationship: the subcontractor's view. Journal of construction engineering and management, 120(2), 274-287. DOI: https://doi.org/10.1061/(ASCE)0733-9364(1994)120:2(274)
Holt, G. D., Olomolaiye, P.O., Harris, F. C. (1995). A review of contractor selection practice in the UK construction industry. Building and environment, 30(4).533-561. DOI: https://doi.org/10.1016/0360-1323(95)00008-T
Ibadov, N. (2015). Contractor selection for construction project, with the use of fuzzy preference relation. Procedia Engineering, 111(1), 317-323. DOI: https://doi.org/10.1016/j.proeng.2015.07.095
Jafari, A. J., & Hassanpour, M. (2014). Performance assessment of three companies (road construction) using business excellence models. The International Journal of Business & Management, 2(10), 6-15.
Juan, Y. K., Perng, Y. H., Castro-Lacouture, D., & Lu, K. S. (2009). Housing refurbishment contractor’s selection based on a hybrid fuzzy-QFD approach. Automation in Construction, 18(2), 139-144. DOI: https://doi.org/10.1016/j.autcon.2008.06.001
Kahraman, C. (2008). Fuzzy multi-criteria decision making: theory and applications with recent developments (Vol. 16). Springer Science & Business Media. New York, NY, USA. DOI: https://doi.org/10.1007/978-0-387-76813-7_1
Kumaraswamy, M. M., & Matthews, J. D. (2000). Improved subcontractor selection employing partnering principles. Journal of management in engineering, 16(3), 47-57. DOI: https://doi.org/10.1061/(ASCE)0742-597X(2000)16:3(47)
Li, Y., Nie, X., & Chen, S. (2007). Fuzzy approach to prequalifying construction contractors. Journal of construction engineering and management, 133(1), 40-49. DOI: https://doi.org/10.1061/(ASCE)0733-9364(2007)133:1(40)
Lingard, H., Hallowell, M., Salas, R., Pirzadeh, P. (2017). Leading or lagging? Temporal analysis of safety indicators on a large infrastructure construction project. Safety Science, 91, 206–220. DOI: https://doi.org/10.1016/j.ssci.2016.08.020
Manoharan, R. (2005). Subcontractor Selection Method Using Analytic Hierarchy Process. April, 2005 (Doctoral dissertation, MSc Thesis. Universitit Teknologi Malaysia: Malaysia).
Marzouk, M. M., El Kherbawy, A. A., & Khalifa, M. (2013). Factors influencing sub-contractor’s selection in construction projects. HBRC Journal, 9(2), 150-158. DOI: https://doi.org/10.1016/j.hbrcj.2013.05.001
Maturana, S., Alarcón, L. F., Gazmuri, P., & Vrsalovic, M. (2007). On-site subcontractor evaluation method based on lean principles and partnering practices. Journal of Management in Engineering, 23(2), 67-74. DOI: https://doi.org/10.1061/(ASCE)0742-597X(2007)23:2(67)
Mirmousa, S., & Dehnavi, H. D. (2016). Development of criteria of selecting the supplier by using the fuzzy DEMATEL method. Procedia-Social and Behavioral Sciences, 230, 281-289. DOI: https://doi.org/10.1016/j.sbspro.2016.09.036
Morkunaite, Z., Podvezko, V., Zavadskas, E. K., & Bausys, R. (2019). Contractor selection for renovation of cultural heritage buildings by PROMETHEE method. Archives of Civil and Mechanical Engineering, 19, 1056-1071.
Ng, S. T. T., & Luu, C. D. T. (2008). Modeling subcontractor registration decisions through case-based reasoning approach. Automation in construction, 17(7), 873-881. DOI: https://doi.org/10.1016/j.autcon.2008.02.015
Puri, D., & Tiwari, S. (2014). Evaluating the criteria for contractors’ selection and bid evaluation. International journal of engineering science invention, 3(7), 44-48.
Russell, J. S., Hancher, D. E., & Skibniewski, M. J. (1992). Contractor prequalification data for construction owners. Construction Management and Economics, 10(2), 117-135. DOI: https://doi.org/10.1080/01446199200000012
Sacks, R., & Harel, M. (2006). An economic game theory model of subcontractor resource allocation behaviour. Construction Management and Economics, 24(8), 869-881. DOI: https://doi.org/10.1080/01446190600631856
Sari, A., & El-Sayegh, S. M. (2007). Factors affecting the selection of the appropriate construction management at risk contractor. In Latin American and Caribbean proceeding of the international Conference for Engineering and Technology in Tampico, México 29(1)1-8.
Singh, D., & Tiong, R. L. (2006). Contractor selection criteria: investigation of opinions of Singapore construction practitioners. Journal of construction engineering and management, 132(9), 998-1008. DOI: https://doi.org/10.1061/(ASCE)0733-9364(2006)132:9(998)
Stankovic, M., Gladovic, P., Popovic, V. (2019). Determining the importance of the criteria of traffic accessibility using fuzzy AHP and rough AHP method. Decision Making: Applications in Management and Engineering, 2(1), 86-104. DOI: https://doi.org/10.31181/dmame1901086s
Stević, Ž., Pamučar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS). Computers & Industrial Engineering, 140, 106231.
Wong, C. H., Holt, G. D., & Cooper, P. A. (2000). Lowest price or value? Investigation of UK construction clients' tender selection process. Construction management and economics, 18(7), 767-774. DOI: https://doi.org/10.1080/014461900433050
Zavadskas, E.K., Turskis, Z. 2011. Multiple criteria decision making (MCDM) methods in economics: an overview. Technol. Econ. Dev. Eco. 17 (2), 397–427. DOI: https://doi.org/10.3846/20294913.2011.593291
