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DECISION-MAKING PROCESS TECHNIQUES USED IN THE OPTIMIZATION OF CONSTRUCTION PROJECTS

Yıl 2018, Cilt: 13 Sayı: 2, 128 - 136, 21.04.2018

Öz

It is desirable that the construction projects can be completed in the
most appropriate manner at the desired time, cost or other purposes. If any of
these requests are solely aimed, the appropriate project parameters can be
determined and the results such as the optimal time or cost can be determined
after an optimization process. If more than one goal is to be achieved at the
same time, the decision making process becomes more difficult. In this case,
rather than a single final result, multiple results can be obtained. A number
of techniques are used to optimize both time and cost. In this study, the
techniques proposed for this purpose in the literature have been examined and
some of these techniques have been applied to the construction projects
considered as time-cost problem. Also, the TLBO algorithm, popular in recent
years, has been the preferred in the solution of the multi-objective
optimization problem. Construction project business activities which are taken
into account as a time-cost problem in the literature are examined as numerical
examples. A computer program is developed to realize the time-cost trade-off
problem by using MATLAB.

Kaynakça

  • [1] Bromilow, F.J., (1969). Contract Time Performance Expectation and the Reality. Building Forum, 1(3):70-80.
  • [2] Le-Hoai, L. and Lee, Y.D., (2009). Time-Cost Relationships of Building Construction Project in Korea. Facilities, 27(13/14):549-559.
  • [3] Parveen, S. and Saha, S.K. (2012). GA Based Multi-Objective Time-Cost Optimization in a Project with Resources Consideration. International Journal of Modern Engineering Research (IJMER), 2(6):4352-4359.
  • [4] Rao, R.V., Savsani, V.J., and Vakharia, D.P., (2011). Teaching-Learning Based Optimization: A Novel Method for Constrained Mechanical Design Optimization Problems. Computer-Aided Design, 4:303-315.
  • [5] Dede, T., (2014). Application of Teaching-Learning-Based-Optimization Algorithm for the Discrete Optimization of Truss Structures. KSCE Journal of Civil Engineering, 18(6):1759-1767.
  • [6] Zheng, D.X.M., Thomas, N.S., and Kumaraswamy, M.M., (2005). Applying Pareto Ranking and Niche Formation to Genetic Algorithm-Based Multiobjective Time–Cost Optimization. J.Construction. Eng. Manage., 131(1):81-91.
  • [7] Afshar, A., Kaveh, A., Kasaeian, A., and Shoghli, O.R., (2007). Modified Adaptive Weighting Method for Time-Cost Trade-off Problem based on Ant Colony Optimization. Proceedings of 3rd National Congress on Civil Engineering, 1-9.
  • [8] Deb, K., (2002). A Fast and Elitist Multiobjective Genetic Algorithm: Nsga-Ii. IEEE Transactions on Evolutionary Computation, 6(2):182-197.
  • [9] Zheng, D.X.M., Ng, S.T., and Kumaraswamy, M.M., (2004). Applying a Genetic Algorithm-Based Multiobjective Approach for Time-cost Optimization. Journal of Construction Engineering and Management, 130(2):168-176.
  • [10] Gen, M. and Cheng, R., (2000). Genetic Algorithms & Engineering Optimization. Wiley-Interscience, New York.
Yıl 2018, Cilt: 13 Sayı: 2, 128 - 136, 21.04.2018

Öz


Kaynakça

  • [1] Bromilow, F.J., (1969). Contract Time Performance Expectation and the Reality. Building Forum, 1(3):70-80.
  • [2] Le-Hoai, L. and Lee, Y.D., (2009). Time-Cost Relationships of Building Construction Project in Korea. Facilities, 27(13/14):549-559.
  • [3] Parveen, S. and Saha, S.K. (2012). GA Based Multi-Objective Time-Cost Optimization in a Project with Resources Consideration. International Journal of Modern Engineering Research (IJMER), 2(6):4352-4359.
  • [4] Rao, R.V., Savsani, V.J., and Vakharia, D.P., (2011). Teaching-Learning Based Optimization: A Novel Method for Constrained Mechanical Design Optimization Problems. Computer-Aided Design, 4:303-315.
  • [5] Dede, T., (2014). Application of Teaching-Learning-Based-Optimization Algorithm for the Discrete Optimization of Truss Structures. KSCE Journal of Civil Engineering, 18(6):1759-1767.
  • [6] Zheng, D.X.M., Thomas, N.S., and Kumaraswamy, M.M., (2005). Applying Pareto Ranking and Niche Formation to Genetic Algorithm-Based Multiobjective Time–Cost Optimization. J.Construction. Eng. Manage., 131(1):81-91.
  • [7] Afshar, A., Kaveh, A., Kasaeian, A., and Shoghli, O.R., (2007). Modified Adaptive Weighting Method for Time-Cost Trade-off Problem based on Ant Colony Optimization. Proceedings of 3rd National Congress on Civil Engineering, 1-9.
  • [8] Deb, K., (2002). A Fast and Elitist Multiobjective Genetic Algorithm: Nsga-Ii. IEEE Transactions on Evolutionary Computation, 6(2):182-197.
  • [9] Zheng, D.X.M., Ng, S.T., and Kumaraswamy, M.M., (2004). Applying a Genetic Algorithm-Based Multiobjective Approach for Time-cost Optimization. Journal of Construction Engineering and Management, 130(2):168-176.
  • [10] Gen, M. and Cheng, R., (2000). Genetic Algorithms & Engineering Optimization. Wiley-Interscience, New York.
Toplam 10 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Tayfun Dede

Yayımlanma Tarihi 21 Nisan 2018
Yayımlandığı Sayı Yıl 2018 Cilt: 13 Sayı: 2

Kaynak Göster

APA Dede, T. (2018). DECISION-MAKING PROCESS TECHNIQUES USED IN THE OPTIMIZATION OF CONSTRUCTION PROJECTS. Engineering Sciences, 13(2), 128-136.
AMA Dede T. DECISION-MAKING PROCESS TECHNIQUES USED IN THE OPTIMIZATION OF CONSTRUCTION PROJECTS. Engineering Sciences. Nisan 2018;13(2):128-136.
Chicago Dede, Tayfun. “DECISION-MAKING PROCESS TECHNIQUES USED IN THE OPTIMIZATION OF CONSTRUCTION PROJECTS”. Engineering Sciences 13, sy. 2 (Nisan 2018): 128-36.
EndNote Dede T (01 Nisan 2018) DECISION-MAKING PROCESS TECHNIQUES USED IN THE OPTIMIZATION OF CONSTRUCTION PROJECTS. Engineering Sciences 13 2 128–136.
IEEE T. Dede, “DECISION-MAKING PROCESS TECHNIQUES USED IN THE OPTIMIZATION OF CONSTRUCTION PROJECTS”, Engineering Sciences, c. 13, sy. 2, ss. 128–136, 2018.
ISNAD Dede, Tayfun. “DECISION-MAKING PROCESS TECHNIQUES USED IN THE OPTIMIZATION OF CONSTRUCTION PROJECTS”. Engineering Sciences 13/2 (Nisan 2018), 128-136.
JAMA Dede T. DECISION-MAKING PROCESS TECHNIQUES USED IN THE OPTIMIZATION OF CONSTRUCTION PROJECTS. Engineering Sciences. 2018;13:128–136.
MLA Dede, Tayfun. “DECISION-MAKING PROCESS TECHNIQUES USED IN THE OPTIMIZATION OF CONSTRUCTION PROJECTS”. Engineering Sciences, c. 13, sy. 2, 2018, ss. 128-36.
Vancouver Dede T. DECISION-MAKING PROCESS TECHNIQUES USED IN THE OPTIMIZATION OF CONSTRUCTION PROJECTS. Engineering Sciences. 2018;13(2):128-36.