Solve the problem of time-cost-quality exchange of projects in the possible case by considering possible solutions

Subject Areas : Industrial Management

S. Farid  Mousavi ¹ (Department of Operations Management and Information Technology, Kharazmi University, Tehran, Iran.)
Kaveh  Khalili-Damghani ² (Department of Industrial Engineering South-Tehran Branch, Azad University, Tehran, Iran)
Farnaz  Rezapour ³ (Department of Industrial Engineering South-Tehran Branch, Azad University, Tehran, Iran.)
Arezoo  Gazori-Nishabori ⁴ (Industrial Engineering, Department of Industrial Engineering South-Tehran Branch, Azad University, Tehran, Iran)

Received: 2021-10-24 Accepted : 2022-05-26 Published : 2022-07-25

Keywords: Generalized Precedence Relation, Multi-objective programming, Project Scheduling Problem, Preemptive Activity,

Abstract :

Time-cost-quality trade-off project scheduling problem is one of the most important and practical problems in project management discipline. Project Managers interest in making decisions to accomplish the project with minimum cost, minimum time, and maximum quality. Unfortunately, in real life problems, the estimation of time, cost, and quality may be mixed with uncertainty. These parameters may be far from their estimated values. So, considering uncertain parameters in time-cost-quality project scheduling is essential. In this paper, a probabilistic version of time-cost-quality trade –off problem is proposed. Some parameters of the proposed model are assumed to be probabilistic. The probabilistic nature of the proposed model is handled using stochastic chance constraint programming. The multi-objective nature of the problem is handled using goal programming. Finally, the stochastic chance constraint goal programming is proposed. The deterministic equivalence of proposed stochastic model is presented. A numerical example is analyzed using GAMS software and results are investigated.

References:

1. Charnes, A., and Cooper, W. (1963). Deterministic equivalents for optimizing and satis_cing under chance constraints. Operational Research, 11: 18-39.


2. Deckro, R. F., Hebert, J. E., Verdini, W. A., Grimsrud, P. H., & Venkateshwar, S. (1995). Nonlinear time/cost tradeoff models in project management. Computers & Industrial Engineering, 28(2), 219-229.


3. Ekhtiari, Mustafa (2011). Possible multi-objective planning to optimize the issue of determining the amount of manpower in workshop production systems. Industrial Management Studies, 8 (19), 189-216.


4. Eshtehardian, E., Afshar, A., Abbasnia, R. (2008). Time-cost optimization: using GA and fuzzy sets theory for uncertainties in cost. Constr. Econ, 26: 679-691.


5. Golshani, Mojtaba (2015). Project planning and control. Tehran: Zaman Publication.


6. Ibrahim Nejad, Saadullah., Ahmadi, Vahid & Javanshir, Hassan (2013). Balancing cost, time, and quality measures in a CPM network using fuzzy logic and genetic algorithms. International Journal of Industrial Engineering and Production Management, 24 (3): 362-376.


7. Isikyildiz, S., Akcay, C. (2020). Multi- objective optimization of time-cost-quality in construction ptojects using genetic algorithm. Revista la Construccion, 19(3).


8. Mehdizadeh, Ismail., Mohsenian, Omid (2011). Solving the time-cost and quality balance problem using multi-objective stochastic programming. Journal of Industrial Engineering and Management Sharif, 28 (2).


9. Mungle, S., and Benyoucef, L., Son, Y., and Tiwari, M.K. (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.


10. Orm, M.B., Jeunet, J. (2018). Time-cost-quality trade-off problems: A survey exploring the assessment of quality. Computers and Industrial Engineering. 118. 319-328.


11. Rahimi, M., and Iranmanesh, H. (2008). Multi objective particle swarm optimization for a discrete time, cost and quality trade-off problem. World Applied Sciences Journal, 4(2): 270–276.


12. Tavana, M., Abtahi, A., Khalili-Damghani, K. (2013). A new multi-objective multi-mode model for solving preemptive time–cost–quality trade-off project scheduling problem. Expert Systems with Applications.


13. Wuliang, P., & Chengen, W. (2009). A multi-mode resource-constrained discrete time–cost tradeoff problem and its genetic algorithm-based solution. International journal of project management, 27(6), 600-609.


14. Wood, D.A. (2017). Gas and oil project time-cost-quality tradeoff: Integarted stochastic and fuzzy multi-objective optimization applying a memetic, nondominated, sorting algorithm. Journal of Natural Gas Science and Engineering, 45: 143-164.


15. Yildirim, H.A., Akcay, C. (2019). Time-cost optimization model proposal for construction projects with genetic algotithm and fuzzy logic approach. Revista de la Construction, 18(3).


16. Zhang, H., and Xing, F. (2010). Fuzzy-multi-objective particle swarm optimization for time–cost–quality tradeoff in construction. Automation in Construction, 19(8): 1067–1075.


17. Zhang, L., Du, J., and Zhang, Sh. (2014). Solution to the time-cost-quality trade-off problem in construction projects based on immune genetic particle swarm optimization. Journal of Management in Engineering, 30(2): 163-172.