419
Views
1
CrossRef citations to date
0
Altmetric
Research Article

A crashing-based time-cost trade-off model considering quality cost and contract clauses

, , &

References

  • Abuwarda Z, Hegazy T. 2016. Flexible activity relations to support optimum schedule acceleration. J Constr Eng Manage. 142(11):06016004.
  • Afruzi EN, Najafi AA, Roghanian E, Mazinani M. 2014. A multi-objective imperialist competitive algorithm for solving discrete time, cost and quality trade-off problems with mode-identity and resource-constrained situations. Comput Oper Res. 50:80–96.
  • Afshar A, Kaveh A, Shoghli OR. 2007. Multi-objective optimization of time-cost-quality using multi-colony ant algorithm. Asian J Civ Eng. 8(2):113–124.
  • Alavipour SR, Arditi D. 2019. Maximizing expected contractor profit using an integrated model. ECAM. 26(1):118–138.
  • Alzarrad MA, Moynihan GP, Hatamleh MT, Song S. 2019. Fuzzy multicriteria decision-making model for time-cost-risk trade-off optimization in construction projects. Adv Civ Eng. 2019:1–7.
  • Ammar MA. 2018. Efficient modeling of time-cost trade-off problem by eliminating redundant paths. Int J Constr Manag. 20(7):812–821.
  • Babu AJG, Suresh N. 1996. Project management with time, cost, and quality considerations. Eur J Oper Res. 88(2):320–327.
  • Bettemir OH, Birgonul MT. 2017. Network analysis algorithm for the solution of discrete time-cost trade-off problem. KSCE J Civ Eng. 21(4):1047–1058.
  • Bingol BN, Polat G. 2015. Time-cost-quality trade-off model for subcontractor selection using discrete particle swarm optimization algorithm. In: Thirty-First Annual Conference of ARCOM; September 7–9; Lincoln, UK. p. 13–22.
  • Chassiakos AP, Sakellaropoulos SP. 2005. Time-cost optimization of construction projects with generalized activity constraints. J Constr Eng Manage. 131(10):1115–1124.
  • Diaby M, Cruz JM, Nsakanda AL. 2011. Project crashing in the presence of general non-linear activity time reduction costs. IJOR. 12(3):318–332.
  • Eberhart R, Kennedy J. 1995. A new optimizer using particle swarm theory. In: Sixth International Symposium on Micro Machine and Human Science; Oct 4–6; Nagoya: IEEE. p. 39–43.
  • El-Rayes K, Kandil A. 2005. Time-cost-quality trade-off analysis for highway construction. J Constr Eng Manage. 131(4):477–486.
  • Feng CW, Liu L, Burns SA. 1997. Using genetic algorithms to solve construction time-cost trade-off problems. J Comput Civ Eng. 11(3):184–189.
  • Feylizadeh MR, Mahmoudi A, Bagherpour M, Li DF. 2018. Project crashing using a fuzzy multi-objective model considering time, cost, quality and risk under fast tracking technique: A case study. IFS. 35(3):3615–3631.
  • Fulkerson DR. 1961. A network flow computation for project cost curves. Manage Sci. 7(2):167–178.
  • Hajdu M. 1993. An algorithm for solving the cost optimization problem in precedence diagramming method. Period Polytech-CIV. 37(3):231–247.
  • Hajdu M, Skibniewski MJ, Vanhoucke M, Horvath A, Brilakis I. 2016. How many types of critical activities exist? A conjecture in need of proof. Procedia Eng. 164:3–11.
  • Hamta N, Ehsanifar M, Sarikhani J. 2021. Presenting a goal programming model in the time-cost-quality trade-off. Int J Constr Manag. 21(1):1–11.
  • Haque KM, Hasin M, Akhtar A. 2012. Genetic algorithm for project time-cost optimization in fuzzy environment. J Ind Eng Manag. 5(2):364–381.
  • Hegazy T. 1999. Optimization of construction time-cost trade-off analysis using genetic algorithms. Can J Civ Eng. 26(6):685–697.
  • Holland JH. 1975. An efficient genetic algorithm for the traveling salesman problem. Eur J Oper Res. 145:606–617.
  • Issa UH, Eid MA. 2013. An application of genetic algorithms to time-cost-quality trade-off in construction industry. Civ Environ Res. 3(12):11–19.
  • Katti A, Darade M. 2016. Project crashing to solve time-cost trade-off. IJCE. 3(1):10–27.
  • Kelley JE. 1961. Critical-path planning and scheduling: mathematical basis. Oper Res. 9(3):296–320.
  • Kelley JE, Walker MR. 1959. Critical-path planning and scheduling. In: The Eastern Joint Computer Conference; Boston. p. 160–173.
  • Keren B, Cohen Y. 2012. Optimising project performance: the triangular trade-off optimisation approach. IJEME. 3(1/2):152–170.
  • Khalili-Damghani K, Tavana M, Abtahi AR, Santos Arteaga FJ. 2015. Solving multi-mode time–cost–quality trade-off problems under generalized precedence relations. Optim Methods Softw. 30(5):965–1001.
  • Khang DB, Myint YM. 1999. Time, cost and quality trade-off in project management: a case study. Int J Proj Manag. 17(4):249–256.
  • Kim J, Kang C, Hwang I. 2012. A practical approach to project scheduling: considering the potential quality loss cost in the time–cost tradeoff problem. Int J Proj Manag. 30(2):264–272.
  • Klansek U, Psunder M. 2008. Cost optimal project scheduling. Organizacija. 41(4):153–158.
  • Kuhl ME, Tolentino-Pena RA. 2008. A dynamic crashing method for project management using simulation-based optimization. In: 2008 Winter Simulation Conference; Dec 7–10; Miami (FL): IEEE. p. 2370–2376.
  • Larsen JK, Shen GQ, Lindhard SM, Brunoe TD. 2016. Factors affecting schedule delay, cost overrun, and quality level in public construction projects. J Manage Eng. 32(1):04015032.
  • Li H, Al-Hussein M, Lei Z. 2011. Incentive genetic algorithm based time–cost trade-off analysis across a build–operate–transfer project concession period. Can J Civ Eng. 38(2):166–174.
  • Li K, Shao B, Zelbst P. 2012. Project crashing using excel solver: a simple aon network approach. IJMIS. 16(2):177–182.
  • Liberatore MJ, Pollack-Johnson B. 2006. Extending project time–cost analysis by removing precedence relationships and task streaming. Int J Proj Manag. 24(6):529–535.
  • Liberatore MJ, Pollack-Johnson B. 2013. Improving project management decision making by modeling quality, time, and cost continuously. IEEE Trans Eng Manage. 60(3):518–528.
  • Li-Ping Z, Huan-Jun Y, Shang-Xu H. 2005. Optimal choice of parameters for particle swarm optimization. J Zheijang Univ-Sci A. 6(6):528–534.
  • Liu D, Li H, Wang H, Qi C, Rose T. 2020. Discrete symbiotic organisms search method for solving large-scale time-cost trade-off problem in construction scheduling. Expert Syst Appl. 148:113230.
  • Luong DL, Tran DH, Nguyen PT. 2021. Optimizing multi-mode time-cost-quality trade-off of construction project using opposition multiple objective difference evolution. Int J Constr Manag. 21(3):271–283.
  • Mahmoudi A, Feylizadeh MR. 2018. A grey mathematical model for crashing of projects by considering time, cost, quality, risk and law of diminishing returns. GS. 8(3):272–294.
  • Mokhtari H, Kazemzadeh RB, Salmasnia A. 2011. Time-cost tradeoff analysis in project management: an ant system approach. IEEE Trans Eng Manage. 58(1):36–43.
  • Mungle S, Benyoucef L, Son YJ, Tiwari MK. 2013. A fuzzy clustering-based genetic algorithm approach for time–cost–quality trade-off problems: a case study of highway construction project. Eng Appl Artif Intell. 26(8):1953–1966.
  • Ozcan-Deniz G, Ceron V, Zhu Y. 2011. Time, cost, and environmental impact analysis on construction operations. J Comput Civ Eng. 2011:818–825.
  • Phillips Jr S, Dessouky MI. 1977. Solving the project time/cost tradeoff problem using the minimal cut concept. J Manag Sci. 24(4):393–400.
  • Robinson DR. 1975. A dynamic programming solution to cost-time tradeoff for CPM. Manage Sci. 22(2):158–166.
  • Shrestha KK, Shrestha PP. 2016. Optimization of project schedule crashing. In: Construction Research Congress; May 31–June 2; San Juan: ASCE. p. 708–717.
  • Siemens N. 1971. A simple CPM time-cost tradeoff algorithm. Manage Sci. 17(6):354–363.
  • Syed Mohamad SBH, Adenan MH, Abdul Rahman I. 2012. Project crashing impact to labour productivity and quality of work in construction project. In: International Conference on Civil and Environmental Engineering Sustainability (IConCEES 2011); Apr 3–5; Johor Bahru.
  • Tam CM, Thomas KL, Zhang H. 2007. Decision making and operations research techniques for construction management. Hong Kong (HK): City University of HK Press.
  • Tareghian HR, Taheri SH. 2007. A solution procedure for the discrete time, cost and quality tradeoff problem using electromagnetic scatter search. Appl Math Comput. 190(2):1136–1145.
  • Tatar AC, Bilir M, Sonmez R, Atan TA. 2016. A mixed integer model for optimization of discrete time cost tradeoff problem. In: Creative Construction Conference; Jun 25–28; Budapest. p. 478–485.
  • Toğan V, Eirgash MA. 2019. Time-cost trade-off optimization of construction projects using teaching learning based optimization. KSCE J Civ Eng. 23(1):10–20.
  • Whitley D. 1994. A genetic algorithm tutorial. Stat Comput. 4(2):65–85.
  • Yang IT. 2007. Using elitist particle swarm optimization to facilitate bicriterion time-cost trade-off analysis. J Constr Eng Manage. 133(7):498–505.
  • Zahraie B, Tavakolan M. 2009. Stochastic time-cost-resource utilization optimization using nondominated sorting genetic algorithm and discrete fuzzy sets. J Constr Eng Manage. 135(11):1162–1171.
  • Zhang H, Xing F. 2010. Fuzzy-multi-objective particle swarm optimization for time–cost–quality tradeoff in construction. Autom Constr. 19(8):1067–1075.
  • Zhang L, Du J, Zhang S. 2014. Solution to the time-cost-quality trade-off problem in construction projects based on immune genetic particle swarm optimization. J Manage Eng. 30(2):163–172.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.