An algorithm for selecting the best tender and construction claims management by opportunistic bidding behavior approach
Keywords:
Claim management, opportunistic bidding behavior, Fuzzy AHP, Fuzzy TOPSIS, Game Theory.
Abstract
Due to intense competition in tenders and increasing complexity of the documents, participants are looking to win the bidding and increase profits due to existing limitations. It is common solution among bidders to consider the price down in tender and retrieve profits during implementing projects in order to the weakness of the employer, ambiguities in the documents and administrative environment. Therefore, in this study due to lack of a complete solution, a new algorithm is provided with regard to profit maximization of contractor with three main stages that consist of pre-tender, tender and post-tender by providing a method based on Fuzzy Multi Criteria Decision Making and game theory. For evaluate the results, a case study in a construction project is used. The evaluation results showed that in the first stage the results of algorithm and case study was same, but in the second and third stages the algorithm had better results.
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References
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Keshtkar M. M. (2016). Effect of subcooling and superheating on performance of a cascade refrigeration system with considering thermo-economic analysis and multi-objective optimization, Journal of Advanced Computer Science & Technology, 5(2), pp. 42-47.
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Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. The International Journal of Advanced Manufacturing Technology, vol. 28, no. 7, p. 839-844.
Biruk, S., Jaśkowski, P., & Czarnigowska, A. (2017). Modelling contractor’s bidding decision. Ekonomia i Zarzadzanie, vol. 9, no. 1, p. 64-73.
Buckley, J. J., Feuring, T., & Hayashi, Y. (2001). Fuzzy hierarchical analysis revisited. European Journal of Operational Research, vol. 129, no. 1, p. 48-64.
Chang, D.-Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, vol. 95, no. 3, p. 649-655.
Chou, J.-S., Pham, A.-D., & Wang, H. (2013). Bidding strategy to support decision-making by integrating fuzzy AHP and regression-based simulation. Automation in Construction, vol. 35, p. 517-527.
Cid-López, A., Hornos, M. J., Carrasco, R. A., & Herrera-Viedma, E. (2016). Applying a linguistic multi-criteria decision-making model to the analysis of ICT suppliers’ offers. Expert Systems with Applications, vol. 57, p.127-138.
Dağdeviren, M., Yavuz, S., & Kılınç, N. (2009). Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications, vol. 36, no. 4, p. 8143-8151.
Esfahani, M., Emami, M & Tajnesaei, H. (2013). The investigation of the relation between jobinvolvement and organizational commitment. Management Science Letters, 3(2), 511-518.
Fazli, s., & madani, s. (2010). Choosing the optimal allocation of resources based on a hybrid approach to network analysis and planning process. Paper presented at the Journal of Industrial Engineering & Management of Sharif.
Gogus, O., & Boucher, T. O. (1998). Strong transitivity, rationality and weak monotonicity in fuzzy pairwise comparisons. Fuzzy Sets and Systems, vol. 94, no. 1, p. 133-144.
Ho, S. P., & Liu, L. Y. (2004). Analytical model for analyzing construction claims and opportunistic bidding. Journal of Construction Engineering and Management, vol. 130, no. 1, p. 94-104.
Huang, Z.-x. (2016). Modeling bidding decision in engineering field with incomplete information: A static game–based approach. Advances in Mechanical Engineering, vol. 8, no. 1, 1687814015624830.
Keshtkar M. M. (2016). Effect of subcooling and superheating on performance of a cascade refrigeration system with considering thermo-economic analysis and multi-objective optimization, Journal of Advanced Computer Science & Technology, 5(2), pp. 42-47.
Keshtkar; M. M. (2011). Numerical Investigation on Thermal Performance of a Composite Porous Radiant Burner under the Influence of a 2-D Radiation Field, International Journal of Advanced Design and Manufacturing Technology, 5(1), pp. 33-42.
Li, X.-B., & Reeves, G. R. (1999). A multiple criteria approach to data envelopment analysis. European Journal of Operational Research, vol. 115, no. 3, p. 507-517.
Luo, Y., Liu, Y., Yang, Q., Maksimov, V., & Hou, J. (2015). Improving performance and reducing cost in buyer–supplier relationships: The role of justice in curtailing opportunism. Journal of Business Research, vol. 68, no. 3, p. 607-615.
Mohamed, K. A., Khoury, S. S., & Hafez, S. M. (2011). Contractor’s decision for bid profit reduction within opportunistic bidding behavior of claims recovery. International Journal of Project Management, vol. 29, no. 1, p. 93-107.
Nejad S., Keshtkar M. M., (2018) INVESTIGATION OF EFFECTIVE PARAMETERS ON ENTROPY GENERATION IN A SQUARE ELECTRONIC PACKAGE, Frontiers in Heat and Mass Transfer (FHMT), 10, pp. 42-47.
Pohekar, S., & Ramachandran, M. (2004). Application of multi-criteria decision making to sustainable energy planning—a review. Renewable and sustainable energy reviews, vol. 8, no.4, p. 365-381.
Powers, G., Ruwanpura, J. Y., Dolhan, G., & Chu, M. (2002). Simulation based project selection decision analysis tool. Paper presented at the Simulation Conference, 2002, Proceedings of the Winter.
Roszkowska, E., Brzostowski, J., & Wachowicz, T. (2014). Supporting ill-structured negotiation problems Human-Centric Decision-Making Models for Social Sciences (p. 339-367): Springer.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, vol. 1, no.1, p. 83-98.
Sun, C.-C. (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Systems with Applications, vol. 37, no. 12, p. 7745-7754.
Taylan, O., Bafail, A. O., Abdulaal, R. M., & Kabli, M. R. (2014). Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies. Applied Soft Computing, vol. 17, p. 105-116.
Viviana Ñañez Silva, M & Lucas Valdez, G.R (2017). Nivel de redacción de textos académicos de estudiantes ingresantes a la universidad . Opción, Año 33, No. 84 (2017): 791-817
Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. The International Journal of Advanced Manufacturing Technology, vol. 28, no. 7, p. 839-844.
Published
2017-06-26
How to Cite
Amani, R., & Nilipour Tabatabaei, S. (2017). An algorithm for selecting the best tender and construction claims management by opportunistic bidding behavior approach. Amazonia Investiga, 6(10), 137-150. Retrieved from https://amazoniainvestiga.info/index.php/amazonia/article/view/729
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