Solving Multi-Mode Time-Cost-Quality Trade-off Problem in Uncertainty Condition Using a Novel Genetic Algorithm

Hasan Hosseini-Nasab; Masour Pourkheradmand; Naser Shahsavaripour

doi:doi:10.11648/j.ijmfs.20170303.11

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Solving Multi-Mode Time-Cost-Quality Trade-off Problem in Uncertainty Condition Using a Novel Genetic Algorithm

Hasan Hosseini-Nasab, Masour Pourkheradmand, Naser Shahsavaripour

Published in International Journal of Management and Fuzzy Systems (Volume 3, Issue 3)

Received: 13 May 2017 Accepted: 14 June 2017 Published: 21 July 2017

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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.

Published in	International Journal of Management and Fuzzy Systems (Volume 3, Issue 3)
DOI	10.11648/j.ijmfs.20170303.11
Page(s)	32-40
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Project Scheduling, Time-Cost-Quality Trade-off Problem, Metaheuristics, Genetic Algorithm, Fuzzy Theory, Fuzzy Number Ranking, CPM, ANOVA

References

[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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APA Style

Hasan Hosseini-Nasab, Masour Pourkheradmand, Naser Shahsavaripour. (2017). Solving Multi-Mode Time-Cost-Quality Trade-off Problem in Uncertainty Condition Using a Novel Genetic Algorithm. International Journal of Management and Fuzzy Systems, 3(3), 32-40. https://doi.org/10.11648/j.ijmfs.20170303.11

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ACS Style

Hasan Hosseini-Nasab; Masour Pourkheradmand; Naser Shahsavaripour. Solving Multi-Mode Time-Cost-Quality Trade-off Problem in Uncertainty Condition Using a Novel Genetic Algorithm. Int. J. Manag. Fuzzy Syst. 2017, 3(3), 32-40. doi: 10.11648/j.ijmfs.20170303.11

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AMA Style

Hasan Hosseini-Nasab, Masour Pourkheradmand, Naser Shahsavaripour. Solving Multi-Mode Time-Cost-Quality Trade-off Problem in Uncertainty Condition Using a Novel Genetic Algorithm. Int J Manag Fuzzy Syst. 2017;3(3):32-40. doi: 10.11648/j.ijmfs.20170303.11

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@article{10.11648/j.ijmfs.20170303.11,
  author = {Hasan Hosseini-Nasab and Masour Pourkheradmand and Naser Shahsavaripour},
  title = {Solving Multi-Mode Time-Cost-Quality Trade-off Problem in Uncertainty Condition Using a Novel Genetic Algorithm},
  journal = {International Journal of Management and Fuzzy Systems},
  volume = {3},
  number = {3},
  pages = {32-40},
  doi = {10.11648/j.ijmfs.20170303.11},
  url = {https://doi.org/10.11648/j.ijmfs.20170303.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmfs.20170303.11},
  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.},
 year = {2017}
}

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TY  - JOUR
T1  - Solving Multi-Mode Time-Cost-Quality Trade-off Problem in Uncertainty Condition Using a Novel Genetic Algorithm
AU  - Hasan Hosseini-Nasab
AU  - Masour Pourkheradmand
AU  - Naser Shahsavaripour
Y1  - 2017/07/21
PY  - 2017
N1  - https://doi.org/10.11648/j.ijmfs.20170303.11
DO  - 10.11648/j.ijmfs.20170303.11
T2  - International Journal of Management and Fuzzy Systems
JF  - International Journal of Management and Fuzzy Systems
JO  - International Journal of Management and Fuzzy Systems
SP  - 32
EP  - 40
PB  - Science Publishing Group
SN  - 2575-4947
UR  - https://doi.org/10.11648/j.ijmfs.20170303.11
AB  - 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.
VL  - 3
IS  - 3
ER  -

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Author Information

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

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Plain Text BibTeX RIS

APA Style

Hasan Hosseini-Nasab, Masour Pourkheradmand, Naser Shahsavaripour. (2017). Solving Multi-Mode Time-Cost-Quality Trade-off Problem in Uncertainty Condition Using a Novel Genetic Algorithm. International Journal of Management and Fuzzy Systems, 3(3), 32-40. https://doi.org/10.11648/j.ijmfs.20170303.11

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ACS Style

Hasan Hosseini-Nasab; Masour Pourkheradmand; Naser Shahsavaripour. Solving Multi-Mode Time-Cost-Quality Trade-off Problem in Uncertainty Condition Using a Novel Genetic Algorithm. Int. J. Manag. Fuzzy Syst. 2017, 3(3), 32-40. doi: 10.11648/j.ijmfs.20170303.11

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AMA Style

Hasan Hosseini-Nasab, Masour Pourkheradmand, Naser Shahsavaripour. Solving Multi-Mode Time-Cost-Quality Trade-off Problem in Uncertainty Condition Using a Novel Genetic Algorithm. Int J Manag Fuzzy Syst. 2017;3(3):32-40. doi: 10.11648/j.ijmfs.20170303.11

Copy | Download

@article{10.11648/j.ijmfs.20170303.11,
  author = {Hasan Hosseini-Nasab and Masour Pourkheradmand and Naser Shahsavaripour},
  title = {Solving Multi-Mode Time-Cost-Quality Trade-off Problem in Uncertainty Condition Using a Novel Genetic Algorithm},
  journal = {International Journal of Management and Fuzzy Systems},
  volume = {3},
  number = {3},
  pages = {32-40},
  doi = {10.11648/j.ijmfs.20170303.11},
  url = {https://doi.org/10.11648/j.ijmfs.20170303.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmfs.20170303.11},
  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.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Solving Multi-Mode Time-Cost-Quality Trade-off Problem in Uncertainty Condition Using a Novel Genetic Algorithm
AU  - Hasan Hosseini-Nasab
AU  - Masour Pourkheradmand
AU  - Naser Shahsavaripour
Y1  - 2017/07/21
PY  - 2017
N1  - https://doi.org/10.11648/j.ijmfs.20170303.11
DO  - 10.11648/j.ijmfs.20170303.11
T2  - International Journal of Management and Fuzzy Systems
JF  - International Journal of Management and Fuzzy Systems
JO  - International Journal of Management and Fuzzy Systems
SP  - 32
EP  - 40
PB  - Science Publishing Group
SN  - 2575-4947
UR  - https://doi.org/10.11648/j.ijmfs.20170303.11
AB  - 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.
VL  - 3
IS  - 3
ER  -

Copy | Download