Bilevel Construction Site Layout Optimization Based on Hazardous-Material Transportation
Publication: Journal of Infrastructure Systems
Volume 22, Issue 3
Abstract
Construction site layout optimization (CSLO) involves many important issues vital for the success of construction projects. One of the most important is the hazardous-material transportation (HT) problem. This paper concurrently considers CSLO and HT, namely the CSLO-HT problem, and proposes a bilevel multiobjective decision-making model (BMDMM). In this model, the upper-level decision-maker is the project manager, who aims to minimize site layout costs and economic losses from potential HT accidents. The lower-level decision-maker is the carrier, to whom the HT work is subcontracted, and whose goal is to reduce transportation costs. To solve the proposed bi-level multiobjective model, a fuzzy random simulation–based bilevel multiobjective genetic algorithm (frs-BLMOGA) is proposed. The approach is then applied to a hydropower construction project to illustrate the performance of the proposed methodology. The results and further analyses of the methodology prove that both the project manager and the carrier can get benefits. Particularly, satisfactory CSLO-HT solutions are obtained.
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Acknowledgments
This research was supported by Chinese Universities Scientific Fund (Grant No. 2010SCU22009), 985 Program of Sichuan University “Innovative Research Base for Economic Development and Management” and the Research Foundation of Ministry of Education for the Doctoral Program of Higher Education of China (Grant No. 20130181110063), the Scientific Research Staring Foundation of Sichuan University (Grant No. 2015SCU11034), the Youth Program of National Natural Science Foundation of China (Grant No. 71501137), the General Program of China Postdoctoral Science Foundation (Grant No. 2015M572480), and the International Postdoctoral Exchange Fellowship Program of China Postdoctoral Council (Grant No. 20150028).
References
Alanjari, P., RazaviAlavi, S., and AbouRizk, S. (2015). “Hybrid genetic algorithm-simulation optimization method for proactively planning layout of material yard laydown.” J. Constr. Eng. Manage., 06015001.
Androutsopoulos, K. N., and Zografos, K. G. (2010). “Solving the bicriterion routing and scheduling problem for hazardous materials distribution.” Transp. Res. Part C: Emerg. Technol., 18(5), 713–726.
Berman, O., Verter, V., and Kara, B. Y. (2007). “Designing emergency response networks for hazardous materials transportation.” Comput. Oper. Res., 34(5), 1374–1388.
Bertsimas, D., Brown, D. B., and Caramanis, C. (2011). “Theory and applications of robust optimization.” SIAM Rev., 53(3), 464–501.
Bertsimas, D., and Sim, M. (2003). “Robust discrete optimization and network flows.” Math. Program., 98(1), 49–71.
Bianco, L., Caramia, M., and Giordani, S. (2009). “A bilevel flow model for hazmat transportation network design.” Transp. Res. Part C: Emerg. Technol., 17(2), 175–196.
Chakrabarti, U. K., and Parikh, J. K. (2013). “A societal risk study for transportation of class-3 hazmats-a case of Indian state highways.” Process Saf. Environ. Prot., 91(4), 275–284.
Dabbous, T. E. (2010). “Adaptive control of nonlinear systems using fuzzy systems.” J. Ind. Manage. Optim., 6(4), 861–880.
Davis, L. (1991). Handbook of genetic algorithms, Van No Strand Reinhold, New York.
Dheena, P., and Mohanraj, G. (2011). “Multicriteria decision-making combining fuzzy set theory, ideal and anti-ideal points for location site selection.” Expert Syst. Appl., 38(10), 13260–13265.
Domschke, W., and Krispin, G. (1997). “Location and layout planning.” Oper.-Res.-Spektrum, 19(3), 181–194.
Erkut, E., and Gzara, F. (2008). “Solving the hazmat transport network design problem.” Comput. Oper. Res., 35(7), 2234–2247.
Erkut, E., and Verter, V. (1998). “Modeling of transport risk for hazardous materials.” Oper. Res., 46(5), 625–642.
Gibbons, R. (1992). Game theory for applied economists, Princeton University Press, NJ.
Gonçalves, J. F., and Resende, M. G. (2015). “A biased random-key genetic algorithm for the unequal area facility layout problem.” Eur. J. Oper. Res., 246(1), 86–107.
Grefenstette, J. J. (1986). “Optimization of control parameters for genetic algorithms.” IEEE Trans. Systems Man Cybern., 16(1), 122–128.
Hamiani, A., and Popescu, C. (1988). “Consite: A knowledge-based expert system for site layout.” Comput. Civ. Eng. Microcomput. Supercomput., 248–256.
Heilpern, S. (1992). “The expected value of a fuzzy number.” Fuzzy Sets Syst., 47(1), 81–86.
Hinze, J., and Tracey, A. (1994). “The contractor-subcontractor relationship: The subcontractor’s view.” J. Constr. Eng. Manage., 274–287.
Kara, B. Y., and Verter, V. (2004). “Designing a road network for hazardous materials transportation.” Transp. Sci., 38(2), 188–196.
Kruse, R., and Meyer, K. D. (1987). Statistics with vague data, Vol. 6, Springer, Berlin.
Kwakernaak, H. (1978). “Fuzzy random variables—I. Definitions and theorems.” Inf. Sci., 15(1), 1–29.
Kwakernaak, H. (1979). “Fuzzy random variables—II. Algorithms and examples for the discrete case.” Inf. Sci., 17(3), 253–278.
Laarabia, M. H., Boulmakoulb, A., Sacilea, R., and Garbolino, E. (2014). “A scalable communication middleware for real-time data collection of dangerous goods vehicle activities.” Transp. Res. Part C: Emerg. Technol., 48, 404–417.
Lozano, A., Muñoz, Á., Macas, L., and Antún, J. P. (2011). “Hazardous materials transportation in Mexico City: Chlorine and gasoline cases.” Transp. Res. Part C: Emerg. Technol., 19(5), 779–789.
Mawdesley, M. J., and Al-Jibouri, S. H. (2003). “Proposed genetic algorithms for construction site layout.” Eng. Appl. Artif. Intell., 16(5), 501–509.
Meiyi, W., Xiang, L., and Lean, Y. (2015). “Time-dependent fuzzy random location-scheduling programming for hazardous materials transportation.” Transp. Res. Part C: Emerg. Technol., 57, 146–165.
Meng, Q., Lee, D.-H., and Cheu, R. L. (2005). “Multiobjective vehicle routing and scheduling problem with time window constraints in hazardous material transportation.” J. Transp. Eng., 699–707.
Said, H., and El-Rayes, K. (2013). “Performance of global optimization models for dynamic site layout planning of construction projects.” Autom. Constr., 36, 71–78.
Singh, S., and Singh, V. (2010). “An improved heuristic approach for multi-objective facility layout problem.” Int. J. Prod. Res., 48(4), 1171–1194.
Syswerda, G., and Palmucci, J. (1991). “The application of genetic algorithms to resource scheduling.” Morgan Kaufman Publishers, MA, 502–508.
Tompkins, J. A., White, J. A., Bozer, Y. A., and Tanchoco, J. M. A. (1996). Facilities planning, Wiley, New York.
Turskis, Z., Zavadskas, E. K., and Peldschus, F. (2009). “Multi-criteria optimization system for decision making in construction design and management.” Inzinerine Ekonomika-Eng. Econ., 1(61), 7–18.
Verma, M. (2011). “Railroad transportation of dangerous goods: A conditional exposure approach to minimize transport risk.” Transp. Res. Part C: Emerg. Technol., 19(5), 790–802.
von Stackelberg, H. (1952). The theory of the market economy, Oxford University Press, Oxford.
Wright, A. H. (1991). “Genetic algorithms for real parameter optimization.” Found. Genet. Algorithms, 1, 205–218.
Xu, J., and Li, Z. (2012). “Multi-objective dynamic construction site layout planning in fuzzy random environment.” Autom. Constr., 27, 155–169.
Xu, J., and Liu, Y. (2008). “Multi-objective decision making model under fuzzy random environment and its application to inventory problems.” Inf. Sci., 178(14), 2899–2914.
Xu, J., Tu, Y., and Zeng, Z. (2012). “Bilevel optimization of regional water resources allocation problem under fuzzy random environment.” J. Water Resour. Plann. Manage., 246–264.
Xu, J., and Zhou, X. (2011). Fuzzy-like multiple objective decision making, Springer, Berlin.
Yang, D., Jiao, R. J., Ji, Y., Du, G., Helo, P., and Valente, A. (2015). “Joint optimization for coordinated configuration of product families and supply chains by a leader-follower Stackelberg game.” Eur. J. Oper. Res., 246(1), 263–280.
Yun, Y., Gen, M., and Seo, S. (2003). “Various hybrid methods based on genetic algorithm with fuzzy logic controller.” J. Intell. Manuf., 14(3–4), 401–419.
Zeng, Z., Xu, J., Wu, S., and Shen, M. (2014). “Antithetic method-based particle swarm optimization for a queuing network problem with fuzzy data in concrete transportation systems.” Comput.-Aided Civ. Infrastruct. Eng., 29(10), 771–800.
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Published In
Journal of Infrastructure Systems
Volume 22 • Issue 3 • September 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Feb 12, 2015
Accepted: Jan 6, 2016
Published online: Mar 21, 2016
Discussion open until: Aug 21, 2016
Published in print: Sep 1, 2016
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