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Construction Site Layout Planning: Application of Multi-Objective Particle Swarm Optimization

Yıl 2018, Cilt: 29 Sayı: 6, 8691 - 8713, 01.11.2018
https://doi.org/10.18400/tekderg.389638

Öz

Construction Site Layout Planning (CSLP) comprises
determining, sizing and placing of the temporary facilities within the
boundaries of a construction site by
considering many factors. Traveling distance between facilities and safety risks
are two essential factors to be minimized while planning site layout of a
construction project. Many studies treated CSLP as a single objective
optimization problem. They have mainly focused on either diminishing the travel
cost of resources on site without considering the safety aspect or vice versa.
While a few of the studies have treated the problem as a multi-objective
optimization, none of them included a risk assessment approach including crane-related constraints. Hence, a user-friendly
CSLP model that includes a risk assessment approach for safety constraints is proposed by using a Multi-Objective Particle
Swarm Optimization algorithm based on Pareto dominance approach to minimize
both the construction safety risks of crane operated projects and the total traveling distance of the resources
between temporary facilities.

Kaynakça

  • [11] Zhang, H., Wang, J. Y., Particle swarm optimization for construction site unequal-area layout. Journal of Construction Engineering and Management, 134(9): 739-748, 2008.
  • [12] Khalafallah, A., El-Rayes, K., Automated multi-objective optimization system for airport site layouts. Automation in Construction, 20(4), 313-320, 2011.
  • [13] Xu, J., Li, Z., Multi-objective dynamic construction site layout planning in fuzzy random environment. Automation in Construction, 27, 155–169, 2012.
  • [14] Ning, X, Lam, K.C., Lam M.C.K., Dynamic construction site layout planning using max-min ant system, Automation in Construction, 19, 55-65,2010
  • [15] Ning, X ., Lam, K. C., Cost–safety trade-off in unequal-area construction site layout planning. Automation in Construction, 32, 96–103, 2013.
  • [16] Adrian, A. M., Utamima, A., Wang, K. J., A comparative study of GA, PSO and ACO for solving construction site layout optimization, KSCE Journal of Civil Engineering, 19(3):520-527, 2015.
  • [17] Zhao, S., Li, Z., Multi-objective Optimization for Construction Site Layout Planning Problem under Fuzzy Random Environment, Computational Sciences and Optimization (CSO), Seventh International Joint Conference, 2014.
  • [18] Zeng, J., An, M., Smith, N, J., Application of a fuzzy based decision-making methodology to construction project risk assessment. International Journal of Project Management, 25, 589–600, 2007.
  • [19] Khalafallah, A, M., Optimal construction site layout planning for airport expansion projects. Ph.D. Thesis. Civil Engineering in the Graduate College of the University of Illinois at Urbana-Champaign. 2006.
  • [20] Hegazy, T ., Elbeltagi, E., EvoSite: Evolution-based model for site layout planning. Journal of Computing in Civil Engineering, ASCE, 13(3), 198-206, 1999.[21] Bagheli, V., Multiobjective optimization — new formulation and application to radar signal processing, Department of Electronics and Communication National Institute of Technology Rourkela, India 2009.
  • [1] Neitzel, R.L., Seixas N.S., Ren, K.K., A review of crane safety in the construction industry. Applied Occupational and Environmental Hygiene, 16(12), 1106–1117, 2001.
  • [22] Chaudhary, D., Dua, R., Application of multiobjective particle swarm optimization to maximize coverage and lifetime of wireless sensor network. International Journal Of Computational Engineering Research, 2(5), 1628-1633, 2012.
  • [23] Coello, C., Lechuga, M., MOPSO: A proposal for multiple objective particle swarm optimization. Congress of Evolutionary Computation (CEC’2002), Honolulu, Vol. 1., 1051-1056, 2002.
  • [24] Hosseini, S.S., Hamidli S.A., Mansri, M., Multi-objective particle swarm optimization (MOPSO) for size and shape optimization of 2D truss structures. Periodica Polytechnica Civil Engineering, 59(1), 9–14, 2014.
  • [25] Gu, X., Sun, G., Li, G., Li, Q., A comparative study on multiobjective reliable and robust optimization for crashworthiness design of vehicle structure. Struct. Multidisc. Optim., 48, 669-684, 2013.
  • [2] El-Rayes, K., Khalafallh, A., Trade-off between Safety and Cost in Planning Construction Site Layouts. Journal of Construction Engineering and Management, ASCE, 131(11), 1186-1195, 2005.
  • [3] Yahya, M., Saka, M. P., Construction site layout planning using multi-objective artificial bee colony algorithm with levy flights. Automation in construction, 38, 14-29, 2014.
  • [4] Li, H., Love, P. E. D., Site-level facilities layout using genetic algorithms. Journal of Computing in Civil Engineering. ASCE, 12(4), 227-231, 1998. [5] Li, H., Love, P. E. D., Genetic search for solving construction site-level unequal-area facility layout problems. Automation in Construction, 9(2), 217–226, 2000.
  • [6] Zouein, P. P., Tommelein, N.I.D., Dynamic layout planning using a hybrid incremental solution method. Journal of Construction Engineering and Management, ASCE, 125(6), 400-408, 1999.
  • [7] Harmanani, H., Zouein, P., Hajar, A., An evolutionary algorithm for solving the geometrically constrained site layout problem. Proceedings of the 8th ASCE Int. Conf. on Comput. Civ. and Build. Eng. (ICCCBE-VIII), August Stanford University, USA, 1442-1449, 2000.
  • [8] Tawfik, H. M., Fernando, T., A simulation environment for construction site planning. 5th Int. Conf. Information Visualisation, London, UK, July. 2001.
  • [9] Mawdesley, M. J., Al-Jibouri, S. H., Yang, H., Genetic algorithms for construction site layout in project planning. Journal of Construction Engineering and Management, ASCE, 128 (5), 418-426, 2002.
  • [10] Sanad, H. M., Ammar, M. A., Ibrahim, M. E., Optimal construction site layout considering safety and environmental aspects. Journal of Construction Engineering and Management 134 (7), 536–544, 2008.

Construction Site Layout Planning: Application of Multi-Objective Particle Swarm Optimization*

Yıl 2018, Cilt: 29 Sayı: 6, 8691 - 8713, 01.11.2018
https://doi.org/10.18400/tekderg.389638

Öz

Construction Site Layout Planning (CSLP) comprises determining, sizing and placing of the temporary facilities within the boundaries of a construction site by considering many factors. Traveling distance between facilities and safety risks are two essential factors that need to be minimized while planning site layout of a construction project. Many studies treated CSLP as a single objective optimization problem. They have mainly focused on either diminishing the travel cost of resources on site without considering the safety aspect or vice versa. While a few of the studies have treated the problem as a multi-objective optimization problem, none of them included a risk assessment approach including crane-related constraints. Hence, a user-friendly CSLP model that includes a risk assessment approach for safety constraints is proposed by using a Multi-Objective Particle Swarm Optimization algorithm based on Pareto dominance approach to minimize both the construction safety risks of crane operated projects and the total traveling distance of the resources between temporary facilities. 

Kaynakça

  • [11] Zhang, H., Wang, J. Y., Particle swarm optimization for construction site unequal-area layout. Journal of Construction Engineering and Management, 134(9): 739-748, 2008.
  • [12] Khalafallah, A., El-Rayes, K., Automated multi-objective optimization system for airport site layouts. Automation in Construction, 20(4), 313-320, 2011.
  • [13] Xu, J., Li, Z., Multi-objective dynamic construction site layout planning in fuzzy random environment. Automation in Construction, 27, 155–169, 2012.
  • [14] Ning, X, Lam, K.C., Lam M.C.K., Dynamic construction site layout planning using max-min ant system, Automation in Construction, 19, 55-65,2010
  • [15] Ning, X ., Lam, K. C., Cost–safety trade-off in unequal-area construction site layout planning. Automation in Construction, 32, 96–103, 2013.
  • [16] Adrian, A. M., Utamima, A., Wang, K. J., A comparative study of GA, PSO and ACO for solving construction site layout optimization, KSCE Journal of Civil Engineering, 19(3):520-527, 2015.
  • [17] Zhao, S., Li, Z., Multi-objective Optimization for Construction Site Layout Planning Problem under Fuzzy Random Environment, Computational Sciences and Optimization (CSO), Seventh International Joint Conference, 2014.
  • [18] Zeng, J., An, M., Smith, N, J., Application of a fuzzy based decision-making methodology to construction project risk assessment. International Journal of Project Management, 25, 589–600, 2007.
  • [19] Khalafallah, A, M., Optimal construction site layout planning for airport expansion projects. Ph.D. Thesis. Civil Engineering in the Graduate College of the University of Illinois at Urbana-Champaign. 2006.
  • [20] Hegazy, T ., Elbeltagi, E., EvoSite: Evolution-based model for site layout planning. Journal of Computing in Civil Engineering, ASCE, 13(3), 198-206, 1999.[21] Bagheli, V., Multiobjective optimization — new formulation and application to radar signal processing, Department of Electronics and Communication National Institute of Technology Rourkela, India 2009.
  • [1] Neitzel, R.L., Seixas N.S., Ren, K.K., A review of crane safety in the construction industry. Applied Occupational and Environmental Hygiene, 16(12), 1106–1117, 2001.
  • [22] Chaudhary, D., Dua, R., Application of multiobjective particle swarm optimization to maximize coverage and lifetime of wireless sensor network. International Journal Of Computational Engineering Research, 2(5), 1628-1633, 2012.
  • [23] Coello, C., Lechuga, M., MOPSO: A proposal for multiple objective particle swarm optimization. Congress of Evolutionary Computation (CEC’2002), Honolulu, Vol. 1., 1051-1056, 2002.
  • [24] Hosseini, S.S., Hamidli S.A., Mansri, M., Multi-objective particle swarm optimization (MOPSO) for size and shape optimization of 2D truss structures. Periodica Polytechnica Civil Engineering, 59(1), 9–14, 2014.
  • [25] Gu, X., Sun, G., Li, G., Li, Q., A comparative study on multiobjective reliable and robust optimization for crashworthiness design of vehicle structure. Struct. Multidisc. Optim., 48, 669-684, 2013.
  • [2] El-Rayes, K., Khalafallh, A., Trade-off between Safety and Cost in Planning Construction Site Layouts. Journal of Construction Engineering and Management, ASCE, 131(11), 1186-1195, 2005.
  • [3] Yahya, M., Saka, M. P., Construction site layout planning using multi-objective artificial bee colony algorithm with levy flights. Automation in construction, 38, 14-29, 2014.
  • [4] Li, H., Love, P. E. D., Site-level facilities layout using genetic algorithms. Journal of Computing in Civil Engineering. ASCE, 12(4), 227-231, 1998. [5] Li, H., Love, P. E. D., Genetic search for solving construction site-level unequal-area facility layout problems. Automation in Construction, 9(2), 217–226, 2000.
  • [6] Zouein, P. P., Tommelein, N.I.D., Dynamic layout planning using a hybrid incremental solution method. Journal of Construction Engineering and Management, ASCE, 125(6), 400-408, 1999.
  • [7] Harmanani, H., Zouein, P., Hajar, A., An evolutionary algorithm for solving the geometrically constrained site layout problem. Proceedings of the 8th ASCE Int. Conf. on Comput. Civ. and Build. Eng. (ICCCBE-VIII), August Stanford University, USA, 1442-1449, 2000.
  • [8] Tawfik, H. M., Fernando, T., A simulation environment for construction site planning. 5th Int. Conf. Information Visualisation, London, UK, July. 2001.
  • [9] Mawdesley, M. J., Al-Jibouri, S. H., Yang, H., Genetic algorithms for construction site layout in project planning. Journal of Construction Engineering and Management, ASCE, 128 (5), 418-426, 2002.
  • [10] Sanad, H. M., Ammar, M. A., Ibrahim, M. E., Optimal construction site layout considering safety and environmental aspects. Journal of Construction Engineering and Management 134 (7), 536–544, 2008.
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İnşaat Mühendisliği
Bölüm Makale
Yazarlar

Mustafa Oral

Siamak Bazaatı Bu kişi benim

Serkan Aydınlı

Emel Oral

Yayımlanma Tarihi 1 Kasım 2018
Gönderilme Tarihi 2 Şubat 2018
Yayımlandığı Sayı Yıl 2018 Cilt: 29 Sayı: 6

Kaynak Göster

APA Oral, M., Bazaatı, S., Aydınlı, S., Oral, E. (2018). Construction Site Layout Planning: Application of Multi-Objective Particle Swarm Optimization*. Teknik Dergi, 29(6), 8691-8713. https://doi.org/10.18400/tekderg.389638
AMA Oral M, Bazaatı S, Aydınlı S, Oral E. Construction Site Layout Planning: Application of Multi-Objective Particle Swarm Optimization*. Teknik Dergi. Kasım 2018;29(6):8691-8713. doi:10.18400/tekderg.389638
Chicago Oral, Mustafa, Siamak Bazaatı, Serkan Aydınlı, ve Emel Oral. “Construction Site Layout Planning: Application of Multi-Objective Particle Swarm Optimization*”. Teknik Dergi 29, sy. 6 (Kasım 2018): 8691-8713. https://doi.org/10.18400/tekderg.389638.
EndNote Oral M, Bazaatı S, Aydınlı S, Oral E (01 Kasım 2018) Construction Site Layout Planning: Application of Multi-Objective Particle Swarm Optimization*. Teknik Dergi 29 6 8691–8713.
IEEE M. Oral, S. Bazaatı, S. Aydınlı, ve E. Oral, “Construction Site Layout Planning: Application of Multi-Objective Particle Swarm Optimization*”, Teknik Dergi, c. 29, sy. 6, ss. 8691–8713, 2018, doi: 10.18400/tekderg.389638.
ISNAD Oral, Mustafa vd. “Construction Site Layout Planning: Application of Multi-Objective Particle Swarm Optimization*”. Teknik Dergi 29/6 (Kasım 2018), 8691-8713. https://doi.org/10.18400/tekderg.389638.
JAMA Oral M, Bazaatı S, Aydınlı S, Oral E. Construction Site Layout Planning: Application of Multi-Objective Particle Swarm Optimization*. Teknik Dergi. 2018;29:8691–8713.
MLA Oral, Mustafa vd. “Construction Site Layout Planning: Application of Multi-Objective Particle Swarm Optimization*”. Teknik Dergi, c. 29, sy. 6, 2018, ss. 8691-13, doi:10.18400/tekderg.389638.
Vancouver Oral M, Bazaatı S, Aydınlı S, Oral E. Construction Site Layout Planning: Application of Multi-Objective Particle Swarm Optimization*. Teknik Dergi. 2018;29(6):8691-713.