Volume 3, Issue 3, June 2017, Page: 32-40
Solving Multi-Mode Time-Cost-Quality Trade-off Problem in Uncertainty Condition Using a Novel Genetic Algorithm
Hasan Hosseini-Nasab, Industrial Engineering Department, Yazd University, Yazd, Iran
Masour Pourkheradmand, Industrial Engineering Department, Yazd University, Yazd, Iran
Naser Shahsavaripour, Department of Industrial Management, Vali-e-Asr University, Rafsanjan, Iran
Received: May 13, 2017;       Accepted: Jun. 14, 2017;       Published: Jul. 21, 2017
DOI: 10.11648/j.ijmfs.20170303.11      View  1702      Downloads  93
Abstract
In this paper a Fuzzy Discrete Time-Cost-Quality Trade-off Problem (FDTCQTP), is presented. All of three main factors of a project are considered in uncertainty condition using fuzzy theory. Time, cost and quality are considered as fuzzy trapezoidal numbers and a novel Genetic Algorithm; Super Genetic Algorithm (SGA) is introduced to solve the problem. Project network paths are calculated via a new algorithm which it can be very useful for complex project networks and in order to comparing the fuzzy numbers, a new Fuzzy Number Ranking (FNR) method is introduced. The proposed algorithm is compared with classic GA by ANOVA, and the results demonstrate its efficiency. An applied example is used to more details.
Keywords
Project Scheduling, Time-Cost-Quality Trade-off Problem, Metaheuristics, Genetic Algorithm, Fuzzy Theory, Fuzzy Number Ranking, CPM, ANOVA
To cite this article
Hasan Hosseini-Nasab, Masour Pourkheradmand, Naser Shahsavaripour, Solving Multi-Mode Time-Cost-Quality Trade-off Problem in Uncertainty Condition Using a Novel Genetic Algorithm, International Journal of Management and Fuzzy Systems. Vol. 3, No. 3, 2017, pp. 32-40. doi: 10.11648/j.ijmfs.20170303.11
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
Institute, P. M. (2004). A Guide to the Project Management Body of Knowledge, Third Edition (PMBOK Guides), PMI Publisher.
[2]
N.S. Pour, M. Modarres, R. T. Moghaddam (2012). "Time-Cost-Quality Trade-off in Project Scheduling with Linguistic Variables." World Applied Sciences Journal 18(3): 404-413.
[3]
SantoshMungle and LyesBenyoucef, (2013). "A fuzzy clustering-based genetic algorithm approach for time– cost– quality trade-off problems: A case study of highway construction project." Engineering Applications of Artificial Intelligence 26: 1953–1966.
[4]
Zheng, D. X. M., et al. (2004). "Applying a Genetic Algorithm-Based Multiobjective Approach for Time-Cost Optimization." Journal of Construction Engineering and Management 130(2): 168–176.
[5]
Azaron, A. and T. R (2007). "Multi-objective time–cost trade-off in dynamic PERT networks using an interactive approach." European Journal of Operational Research 180(3): 1186–1200.
[6]
Babu, A. J. G. and N. Sureshb (1996). "Project management with time-cost and quality considerations." European Journal of Operational Research 88(2): 320–327.
[7]
El-Rayes, K. and A. Kandil (2005). "Time-cost-quality trade-off analysis for highway construction." Journal of Construction. Engineering Management 131(4): 477-485.
[8]
Zhang, H. and F. Xing (2010). "Fuzzy-multi-objective particle swarm optimization for time–cost–quality tradeoff in construction." Automation in Construction 19: 1067–1075.
[9]
Iranmanesh, H., et al. (2008). "Finding Pareto Optimal Front for the Multi- Mode Time, Cost Quality Trade-off in Project Scheduling." International Journal of Computer, Information & Systems Science 2(2): 118-122.
[10]
Hasançebi, O. and F. Erbatur (2000). "Evaluation of crossover techniques in genetic algorithm based optimum structural design." Computers & Structures 38(1-3): 435-448.
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