A Decision Support Model for Decision Making with the Use of 2-Tuple Linguistic Model in Subcontractor Selection

Abbasianjahromi, H. R.

doi:10.22060/ceej.2017.11529.5029

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	A Decision Support Model for Decision Making with the Use of 2-Tuple Linguistic Model in Subcontractor Selection
Article 1, Volume 1, Issue 1, Winter and Spring 2017, Page 3-14 PDF (4.6 MB)
Document Type: Research Article
DOI: 10.22060/ceej.2017.11529.5029
Author
H. R. Abbasianjahromi^*
Faculty of Civil Engineering Department, K. N. Toosi University of Technology, Tehran, Iran
Abstract
There are various parties in the execution phase of construction projects but contractors have a direct impact on the execution phase. Due to some challenges such as growing complexity, and the need for specific specialties, contractors’ eager to subcontract project’s tasks to other parties is named subcontractors. Regarding the impact of subcontractors on critical success factors of projects, the first step in their management process is the selection of the best subcontractor. The subcontractor selection is a subject, in which uncertainty and vagueness are dealt with in decision-making. In these situations, linguistic terms can help people in expressing their ideas. This paper applied the 2-tuple linguistics computing to work with linguistic terms and use group decision making to mitigate the deviation of experts’ ideas. For further understanding, a numerical example is presented. Also, a consistency test to investigate the accuracy of the model is offered.
Highlights
[1] Elazouni, A., & Fikry, G.M., “D-SUB: Decision support system for subcontracting construction works.” Journal of Construction Engineering and Management, 191-200, 2000. [2] Abbasianjahromi, H.R., & Rajaie, H., “Developing a project portfolio selection model for contractor firms considering the risk factors.” Journal of Civil Engineering and Management, 18(6), 879-889, 2012. [3] NG, S.T., “Using Balanced Scorecard for Subcontractor Performance Appraisal.” Strategic Integration of Surveying Services FIG Working Week, Hong Kong SAR, China, 13-1, 2007. [4] Hamzaoui, F., Taillandier, F., & Mehdizadeh, R., “ Evolutive Risk Breakdown Structure for managing construction project risks: application to a railway project in Algeria,” European Journal of Environmental and Civil Engineering, 19 (2), 2015. [5] Lee, H., Seo, J., Park, M., Ryu, H. & Kwon, S., “Transaction-Cost-Based Selection of Appropriate General Contractor-Subcontractor Relationship Type.” Journal of Construction Engineering and Management, 135, 2009. [6] Construction Industry Review Committee, “Construct for Excellence: Report of the Construction Industry Review Committee”, Hong Kong Government, 2001. [7] Dainty, A.R.J., Briscoe, G.H. & Millett, S.J., “Subcontractor perspectives on supply chain Alliances.” Construction Management & Economics, 19 (8), 841- 848, 2001. [8] Pryke, S., “Construction Supply Chain Management; Concepts and Case studies.” Willy, BlackWell, United kingdom, 2009. [9] Shash, A.A., “Bidding practices of subcontractors in Colorado.” ASCE Journal of Construction Engineering and Management, 124(3), 219-225, 1998. [10] President Deputy Strategic Planning and Control., “Iranian State Budget Law”, Iran, 2011. [11] Kumaraswamy, M.M., & Matthews, J.D., “Improved subcontractor selection employing partnering principles.” Journal of Management in Engineering, 16(3), 47-57, 2000. [12] Ravanshadnia, M., Rajaie, H., & Abbasian, H.R., “Hybrid fuzzy MADM project-selection model for diversified construction companies.” Canadian Journal of Civil Engineering, 37, 1082-1093, 2010. [13] Martinez, L., & Herrera, F., “An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges.” Information Sciences, 207, 1-18, 2012. [14] Wang, D., Yung, K. L., & Ip, W. H., “A Heuristic Genetic Algorithm for Subcontractor Selection in a Global Manufacturing Environment.” IEEE Transaction on Systems Man and Cybernetics-Part C: Applications and Reviews, 31( 2), 2001. [15] Ng, S.T., & Luu, C.D.T., “Modeling subcontractor registration decisions through case-based reasoning approach.” Automation in Construction, 17, 873-881, 2008. [16] Mbachu, J., “Conceptual framework for the assessment of subcontractors’ eligibility and performance in the construction industry” Construction Management & Economics, 26, 471-484, 2008. [17] Arslan, G., Kivrak, S., Birgonul., M. T., & Dikmen, I., “Improving sub-contractor selection process in construction projects: Web-based sub-contractor evaluation system (WEBSES).” Automation in Construction, 17, 480-488,2008. [18] Hartmann, A., & Caerteling, J., “Subcontractor procurement in construction: the interplay of price and trust. Supply Chain Management” An International Journal - SUPPLY CHAIN MANAG, 15(5), 354-362, 2010. [19] Yin, H., Wang, Z., Yu, J., Ji, Z., & Ni, H., “Application of DEA cross evaluation model in project dynamic alliance subcontractors’ selection”, IEEE, 978-1-4244- 3894-5/09, 2009. [20] Xiaolin, Y., Heng, S., & Bing, Y., “Wireless Communications, Networking and Mobile Computing,” WiCOM 08. 4th International Conference on, 2009. [21] Tserng, H.P., & Lin, P.H., “An accelerated subcontracting and procuring model for construction projects.” Automation in Construction, 11(1), 105-125, 2002. [22] Herrera, F., Martinez, L., & Sgnchez, P.J., “Managing non-homogeneous information in group decision making.” European Journal of Operational Research, 166 (1), 115-132, 2005. [23] Herrera, F., & Herrera-Viedma, E., “Linguistic decision analysis: Steps for solving decision problems under linguistic information.” Fuzzy Sets and Systems, 115, 67- 82, 2000. [24] Wei, G., & Zhao, X., “Some dependent aggregation operators with 2-tuple linguistic information and their application to multiple attribute group decision making.” Expert Systems with Applications, 39, 5881-5886, 2012.
Keywords
Subcontractor; Selection; 2-tuple linguistic; Group; decision making


References
[1] Elazouni, A., & Fikry, G.M., “D-SUB: Decision support system for subcontracting construction works.” Journal of Construction Engineering and Management, 191-200, 2000. [2] Abbasianjahromi, H.R., & Rajaie, H., “Developing a project portfolio selection model for contractor firms considering the risk factors.” Journal of Civil Engineering and Management, 18(6), 879-889, 2012. [3] NG, S.T., “Using Balanced Scorecard for Subcontractor Performance Appraisal.” Strategic Integration of Surveying Services FIG Working Week, Hong Kong SAR, China, 13-1, 2007. [4] Hamzaoui, F., Taillandier, F., & Mehdizadeh, R., “ Evolutive Risk Breakdown Structure for managing construction project risks: application to a railway project in Algeria,” European Journal of Environmental and Civil Engineering, 19 (2), 2015. [5] Lee, H., Seo, J., Park, M., Ryu, H. & Kwon, S., “Transaction-Cost-Based Selection of Appropriate General Contractor-Subcontractor Relationship Type.” Journal of Construction Engineering and Management, 135, 2009. [6] Construction Industry Review Committee, “Construct for Excellence: Report of the Construction Industry Review Committee”, Hong Kong Government, 2001. [7] Dainty, A.R.J., Briscoe, G.H. & Millett, S.J., “Subcontractor perspectives on supply chain Alliances.” Construction Management & Economics, 19 (8), 841- 848, 2001. [8] Pryke, S., “Construction Supply Chain Management; Concepts and Case studies.” Willy, BlackWell, United kingdom, 2009. [9] Shash, A.A., “Bidding practices of subcontractors in Colorado.” ASCE Journal of Construction Engineering and Management, 124(3), 219-225, 1998. [10] President Deputy Strategic Planning and Control., “Iranian State Budget Law”, Iran, 2011. [11] Kumaraswamy, M.M., & Matthews, J.D., “Improved subcontractor selection employing partnering principles.” Journal of Management in Engineering, 16(3), 47-57, 2000. [12] Ravanshadnia, M., Rajaie, H., & Abbasian, H.R., “Hybrid fuzzy MADM project-selection model for diversified construction companies.” Canadian Journal of Civil Engineering, 37, 1082-1093, 2010. [13] Martinez, L., & Herrera, F., “An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges.” Information Sciences, 207, 1-18, 2012. [14] Wang, D., Yung, K. L., & Ip, W. H., “A Heuristic Genetic Algorithm for Subcontractor Selection in a Global Manufacturing Environment.” IEEE Transaction on Systems Man and Cybernetics-Part C: Applications and Reviews, 31( 2), 2001. [15] Ng, S.T., & Luu, C.D.T., “Modeling subcontractor registration decisions through case-based reasoning approach.” Automation in Construction, 17, 873-881, 2008. [16] Mbachu, J., “Conceptual framework for the assessment of subcontractors’ eligibility and performance in the construction industry” Construction Management & Economics, 26, 471-484, 2008. [17] Arslan, G., Kivrak, S., Birgonul., M. T., & Dikmen, I., “Improving sub-contractor selection process in construction projects: Web-based sub-contractor evaluation system (WEBSES).” Automation in Construction, 17, 480-488,2008. [18] Hartmann, A., & Caerteling, J., “Subcontractor procurement in construction: the interplay of price and trust. Supply Chain Management” An International Journal - SUPPLY CHAIN MANAG, 15(5), 354-362, 2010. [19] Yin, H., Wang, Z., Yu, J., Ji, Z., & Ni, H., “Application of DEA cross evaluation model in project dynamic alliance subcontractors’ selection”, IEEE, 978-1-4244- 3894-5/09, 2009. [20] Xiaolin, Y., Heng, S., & Bing, Y., “Wireless Communications, Networking and Mobile Computing,” WiCOM 08. 4th International Conference on, 2009. [21] Tserng, H.P., & Lin, P.H., “An accelerated subcontracting and procuring model for construction projects.” Automation in Construction, 11(1), 105-125, 2002. [22] Herrera, F., Martinez, L., & Sgnchez, P.J., “Managing non-homogeneous information in group decision making.” European Journal of Operational Research, 166 (1), 115-132, 2005. [23] Herrera, F., & Herrera-Viedma, E., “Linguistic decision analysis: Steps for solving decision problems under linguistic information.” Fuzzy Sets and Systems, 115, 67- 82, 2000. [24] Wei, G., & Zhao, X., “Some dependent aggregation operators with 2-tuple linguistic information and their application to multiple attribute group decision making.” Expert Systems with Applications, 39, 5881-5886, 2012.
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