Bilevel Construction Site Layout Optimization Based on Hazardous-Material Transportation

AbstractConstruction 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 t...

[1]  Jiuping Xu,et al.  Antithetic Method‐Based Particle Swarm Optimization for a Queuing Network Problem with Fuzzy Data in Concrete Transportation Systems , 2014, Comput. Aided Civ. Infrastructure Eng..

[2]  Azedine Boulmakoul,et al.  A scalable communication middleware for real-time data collection of dangerous goods vehicle activities , 2014 .

[3]  Uday Kumar Chakrabarti,et al.  A societal risk study for transportation of class-3 hazmats – A case of Indian state highways , 2013 .

[4]  John J. Grefenstette,et al.  Optimization of Control Parameters for Genetic Algorithms , 1986, IEEE Transactions on Systems, Man, and Cybernetics.

[5]  Dong Yang,et al.  Joint optimization for coordinated configuration of product families and supply chains by a leader-follower Stackelberg game , 2015, Eur. J. Oper. Res..

[6]  Vedat Verter,et al.  Designing emergency response networks for hazardous materials transportation , 2007, Comput. Oper. Res..

[7]  Saad H.S. Al-Jibouri,et al.  Proposed genetic algorithms for construction site layout , 2003 .

[8]  Manish Verma.  Railroad transportation of dangerous goods: A conditional exposure approach to minimize transport risk , 2011 .

[9]  Constantine Caramanis,et al.  Theory and Applications of Robust Optimization , 2010, SIAM Rev..

[10]  Erhan Erkut,et al.  Solving the hazmat transport network design problem , 2008, Comput. Oper. Res..

[11]  Khaled A El-Rayes,et al.  Performance of global optimization models for dynamic site layout planning of construction projects , 2013 .

[12]  Alden H. Wright,et al.  Genetic Algorithms for Real Parameter Optimization , 1990, FOGA.

[13]  Huibert Kwakernaak,et al.  Fuzzy random variables - I. definitions and theorems , 1978, Inf. Sci..

[14]  Mauricio G. C. Resende,et al.  A biased random-key genetic algorithm for the unequal area facility layout problem , 2015, Eur. J. Oper. Res..

[15]  Lucio Bianco,et al.  A Bilevel flow model for HazMat transportation network design , 2008 .

[16]  W. Domschke,et al.  Location and layout planning , 1997 .

[17]  Tayel Dabbous,et al.  Adaptive control of nonlinear systems using fuzzy systems , 2010 .

[18]  R. Gibbons.  Game theory for applied economists , 1992 .

[19]  Jiuping Xu,et al.  Multi-Objective Dynamic Construction Site Layout Planning in Fuzzy Random Environment , 2012 .

[20]  Angélica Lozano,et al.  Hazardous materials transportation in Mexico City: Chlorine and gasoline cases , 2011 .

[21]  Der-Horng Lee,et al.  Multiobjective Vehicle Routing and Scheduling Problem with Time Window Constraints in Hazardous Material Transportation , 2005 .

[22]  Simaan M. AbouRizk,et al.  Hybrid Genetic Algorithm-Simulation Optimization Method for Proactively Planning Layout of Material Yard Laydown , 2015 .

[23]  Vedat Verter,et al.  Designing a Road Network for Hazardous Materials Transportation , 2004, Transp. Sci..

[24]  Stanisław Heilpern,et al.  The expected value of a fuzzy number , 1992 .

[25]  Jimmie Hinze,et al.  The Contractor‐Subcontractor Relationship: The Subcontractor's View , 1994 .

[26]  Konstantinos G. Zografos,et al.  Solving the bicriterion routing and scheduling problem for hazardous materials distribution , 2010 .

[27]  Surya Prakash Singh,et al.  An improved heuristic approach for multi-objective facility layout problem , 2010 .

[28]  Heinrich von Stackelberg,et al.  Stackelberg (Heinrich von) - The Theory of the Market Economy, translated from the German and with an introduction by Alan T. PEACOCK. , 1953 .

[29]  Melvyn Sim,et al.  Robust discrete optimization and network flows , 2003, Math. Program..

[30]  Gilbert Syswerda,et al.  The Application of Genetic Algorithms to Resource Scheduling , 1991, International Conference on Genetic Algorithms.

[31]  Huibert Kwakernaak,et al.  Fuzzy random variables--II. Algorithms and examples for the discrete case , 1979, Inf. Sci..

[32]  Yu Lean,et al.  Time-dependent fuzzy random location-scheduling programming for hazardous materials transportation , 2015 .

[33]  P. Dheena,et al.  Multicriteria decision-making combining fuzzy set theory, ideal and anti-ideal points for location site selection , 2011, Expert Syst. Appl..

[34]  R. Kruse,et al.  Statistics with vague data , 1987 .

[35]  Jiuping Xu,et al.  Bilevel Optimization of Regional Water Resources Allocation Problem under Fuzzy Random Environment , 2013 .

[36]  Mitsuo Gen,et al.  Various hybrid methods based on genetic algorithm with fuzzy logic controller , 2003, J. Intell. Manuf..

[37]  Vedat Verter,et al.  Modeling of Transport Risk for Hazardous Materials , 1998, Oper. Res..

[38]  Jiuping Xu,et al.  Multi-objective decision making model under fuzzy random environment and its application to inventory problems , 2008, Inf. Sci..

[39]  Jiuping Xu,et al.  Fuzzy-Like Multiple Objective Decision Making , 2011, Studies in Fuzziness and Soft Computing.