A hybrid model of fuzzy goal programming and grey numbers in continuous project time, cost, and quality tradeoff

  • Seyed Hossein Razavi Hajiagha
  • Hannan Amoozad Mahdiraji
  • Shide Sadat Hashemi
ORIGINAL ARTICLE

Abstract

The purpose of this paper is to develop current mathematical models of cost, time, and quality tradeoffs in conditions that parameters of project activities are estimated uncertainly by grey numbers. In some projects like construction projects, activities can be done within a much shorter time by increasing in the resources, while project's cost may rise at the same time. In such situations, managers are usually required to determine the best combination of cost, time, and quality parameters of the activities, although their information regarding these parameters is limited and rather incomplete. The greyness of these parameters in the proposed method can aid managers to deal with these conditions. The most important aspect of the proposed model is that it considers uncertainty of the project planning data in the form of grey numbers. A combination of fuzzy goal programming and grey linear programming is also developed to solve the proposed model. Finally, this model will provide the managers with a stronger ability to face with uncertainty in project management and planning. The application of this model is examined in a numerical example. As its major finding, the model determines an optimal range in which the project managers can respond to intrinsic changes that may occur in the parameters during a project.

Keywords

Project management Time, cost, and quality tradeoff The iron triangle Fuzzy goal programming Grey numbers 

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References

  1. 1.
    Abbasnia R, Afshar A, Eshtehardian E (2008) Time–cost trade-off problem in construction project management, based on fuzzy logic. J Appl Sci 8:4159–4165CrossRefGoogle Scholar
  2. 2.
    Afshar A, Kaveh A, Shoghli OR (2007) Multi-objective optimization of time–cost–quality using multi-colony ant algorithm. Asian J Civ Eng (Building and Housing) 8(2):113–124MATHGoogle Scholar
  3. 3.
    Akkan C (1998) A Lagrangian heuristic for the discrete time–cost tradeoff problem for activity-on-arc project networks. Working paper, Koc University, IstanbulGoogle Scholar
  4. 4.
    Amiri M, Golozari F (2011) Application of fuzzy multi-attribute decision making in determining the critical path by using time, cost, risk, and quality criteria. Int J Adv Manuf Technol 54(1–4):393–401CrossRefGoogle Scholar
  5. 5.
    Aoieong RT, Tang SL, Ahmed SM (2002) A process approach in measuring quality costs of construction projects: model development. Constr Manag Econ 20(2):179–192CrossRefGoogle Scholar
  6. 6.
    Atkinson R (1999) Project management: cost, time and quality, two best guesses and a phenomenon, its time to accept other success criteria. Int J Proj Manag 17(6):337–342CrossRefGoogle Scholar
  7. 7.
    Babu AJG, Suresh N (1996) Project management with time, cost, and quality considerations. Eur J Oper Res 88(2):320–327CrossRefMATHGoogle Scholar
  8. 8.
    Bouyssou D (1989) Modeling inaccurate determination, uncertainty, imprecision using multiple criteria. In: Locket AG, Islei G (eds) Improving decision making in organizations. Springer, BerlinGoogle Scholar
  9. 9.
    Can EK, Houck MH (1984) Real-time reservoir operations by goal programming. J Water Resour Plan Manag 110(3):297–309CrossRefGoogle Scholar
  10. 10.
    Charnes A, Cooper WW, Fergusen R (1955) Optimal estimation of executive compensation by linear programming. Manag Sci 1(2):138–151CrossRefMATHGoogle Scholar
  11. 11.
    Chen LH, Tsai FC (2001) Fuzzy goal programming with different importance and priorities. Eur J Oper Res 133(3):548–556CrossRefMATHGoogle Scholar
  12. 12.
    Chen Z, Chen Q, Chen W, Wang Y (2004) Grey linear programming. Kybernetes 33(2):238–246CrossRefMATHGoogle Scholar
  13. 13.
    Cohen I, Golany B, Shtub A (2007) The stochastic time–cost tradeoff problem: a robust optimization approach. Netw Int J 49(2):175–188MATHMathSciNetGoogle Scholar
  14. 14.
    Deckro RF, Hebert JE, Verdini WA, Grimsrud PH, Venkateshwar S (1995) Nonlinear time/cost tradeoff models in project management. Comput Ind Eng 28(2):219–229CrossRefGoogle Scholar
  15. 15.
    Demeulemeester EL, Herroelen WS, Elmaghraby SE (1996) Optimal procedures for the discrete time/cost trade-off problem in project networks. Eur J Oper Res 88(1):50–68CrossRefMATHGoogle Scholar
  16. 16.
    Demeulemeester E, De Reyck B, Foubert B, Herroelen W, Vanhoucke M (1998) New computational results on the discrete time/cost trade-off problem in project networks. J Oper Res Soc 49:1153–1163MATHGoogle Scholar
  17. 17.
    Deng J (1982) Control problems of grey system. Syst Control Lett 1(5):288–294CrossRefMATHGoogle Scholar
  18. 18.
    Deng J (1989) Introduction to grey system theory. J Grey Theory 1(1):1–24MATHGoogle Scholar
  19. 19.
    El-Rayes K, Kandil A (2005) Time–cost–quality trade-off analysis for highway construction. J Constr Eng Manag 131(4):477–486CrossRefGoogle Scholar
  20. 20.
    Feng CW, Liu L, Burns SA (1997) Using genetic algorithms to solve construction time/cost trade-off problems. J Comput Civ Eng 11(3):184–189CrossRefGoogle Scholar
  21. 21.
    Goyal SK (1975) A note on “a simple CPM time–cost tradeoff algorithm”. Manag Sci 21(6):718–722CrossRefMATHGoogle Scholar
  22. 22.
    Hannan EL (1981) On fuzzy goal programming. Decis Sci 12(3):522–531CrossRefMathSciNetGoogle Scholar
  23. 23.
    Hannan EL (1981) Some further comments on fuzzy priorities. Decis Sci 12(3):539–541CrossRefMathSciNetGoogle Scholar
  24. 24.
    Harvey RT, Patterson JH (1979) An implicit enumeration algorithm for the time/cost tradeoff problem in project network analysis. Found Control Eng 4:107–117MATHMathSciNetGoogle Scholar
  25. 25.
    Hegazy T (1999) Optimization of construction time–cost trade-off analysis using genetic algorithms. Can J Civ Eng 26(6):685–697CrossRefGoogle Scholar
  26. 26.
    Huang GH (1994) Grey Mathematical Programming and Its Application to Municipal/ solid Waste Management Planning. Ph.D. dissertation, Department of Civil Engineering, McMaster University, USAGoogle Scholar
  27. 27.
    Huang YS, Deng JJ, Zhang YY (2008) Ti Time–cost-Quality Tradeoff Optimization In Construction Project Based On Modified Ant Colony Algorithm. 2008 International Conference on Machine Learning and Cybernetics, 1031–1035, Kunming, ChinaGoogle Scholar
  28. 28.
    Inuiguchi M, Kume Y (1991) Goal programming problems with interval coefficients and target intervals. Eur J Oper Res 52(3):345–360CrossRefMATHGoogle Scholar
  29. 29.
    Ignizio JP (1976) Goal programming and extension. Heath Lexington Books, LondonGoogle Scholar
  30. 30.
    Khang D, Myint YM (1999) Time, cost and quality tradeoff in project management: a case study. Int J Proj Manag 17(4):249–256CrossRefGoogle Scholar
  31. 31.
    Kelly JE (1961) Critical-path planning and scheduling: mathematical basis. Oper Res 9(3):296–320CrossRefGoogle Scholar
  32. 32.
    Lakshminayaranan S, Gaurav A, Arun C (2010) Time–cost–risk tradeoff using ant colony optimization. JCDC 22–38.Google Scholar
  33. 33.
    Lewis JP (2010) Project planning, scheduling, and control: the ultimate hands-on guide to bringing projects in on time and on budget. McGraw-Hill, New YorkGoogle Scholar
  34. 34.
    Li H, Cao JN, Love PED (1999) Using machine learning and GA to solve time–cost trade-off problems. J Constr Eng Manag 125(5):347–353CrossRefGoogle Scholar
  35. 35.
    Liberatore MJ, Pollack-Johnson B (2009) Quality, time, and cost tradeoffs in project management decision making. In: Portland International Conference on Management of Engineering & Technology, Portland, USA, 2–6 August, pp. 1323–1329Google Scholar
  36. 36.
    Lin Y, Chen MY, Liu S (2004) Theory of grey systems: capturing uncertainties of grey information. Kybernetes 33(2):196–218CrossRefMATHGoogle Scholar
  37. 37.
    Liu S, Lin Y (2006) Grey information: theory and practical applications. Springer, LondonGoogle Scholar
  38. 38.
    Liu S, Lin Y (2010) Grey systems: theory and applications. Springer, BerlinCrossRefGoogle Scholar
  39. 39.
    Lock D (2007) Project management. Gower Publishing Company, HampshireGoogle Scholar
  40. 40.
    Love PED, Irani Z (2003) A project management quality cost information system for the construction industry. Inf Manag 40(7):649–661CrossRefGoogle Scholar
  41. 41.
    Mokhtari H, Aghaie A, Rahimi J, Mozdgir A (2010) Project time–cost trade-off scheduling: a hybrid optimization approach. Int J Adv Manuf Technol 50(5–8):811–822CrossRefGoogle Scholar
  42. 42.
    Narasimhan R (1980) Goal programming in a fuzzy environment. Decis Sci 11(2):325–336CrossRefMathSciNetGoogle Scholar
  43. 43.
    Phillips S (1996) Project management duration/resource trade-off analysis: an application of the cut search approach. J Oper Res Soc 47(5):697–701CrossRefMATHGoogle Scholar
  44. 44.
    Pollack-Johnson B, Liberatore MJ (2006) Incorporating quality considerations into project time/cost trade-off analysis and decision making. IEEE Trans Eng Manag 53(4):534–542CrossRefGoogle Scholar
  45. 45.
    Prabudha D, Dunne EJ, Ghosh JB, Wells CE (1995) The discrete time–cost tradeoff problem revisited. Eur J Oper Res 81(2):225–238CrossRefGoogle Scholar
  46. 46.
    Project Management Institute (2008) A guide to the project management body of knowledge. Project Management Institute, PennsylvaniaGoogle Scholar
  47. 47.
    Rasmy MH, Abdelsalam HM, Ragab R (2008) Multi objective optimization of time–cost trade-off analysis in critical chain project management networks using Pareto simulated annealing. In: 6th International Conference on Informatics and Systems (INFOS), Cairo, Egypt, 27–29 March 2008.Google Scholar
  48. 48.
    Razavi Hajiagha SH, Akrami H, Hashemi SS (2012) A multi-objective programming approach to solve grey linear programming. Grey Syst:Theory Appl 2(2):259–271Google Scholar
  49. 49.
    Salmasnia A, Mokhtari H, Nakhai Kamal Abadi I (2012) A robust scheduling of projects with time, cost, and quality considerations. Int J Adv Manuf Technol 60(5–8):631–642CrossRefGoogle Scholar
  50. 50.
    Shahsavari pour N, Modarres M, Tavakkoli moghadam R, Najafi E (2010) Optimizing a multi-objectives time–cost–quality trade-off problem by a new hybrid genetic algorithm. World Appl Sci J 10(3):355–363Google Scholar
  51. 51.
    Siemens N (1971) A simple CPM time–cost trade-off algorithm. Manag Sci 17(6):354–363CrossRefGoogle Scholar
  52. 52.
    Tareghian HR, Taheri SH (2006) On the discrete time, cost and quality trade-off problem. Appl Math Comput 181(2):1305–1312CrossRefMATHMathSciNetGoogle Scholar
  53. 53.
    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):1136–1145CrossRefMATHMathSciNetGoogle Scholar
  54. 54.
    Tiwari RN, Dharmar S, Rao JR (1986) Priority structure in fuzzy goal programming. Fuzzy Sets Syst 19(3):251–259CrossRefMATHMathSciNetGoogle Scholar
  55. 55.
    Wang J, Liu EL, Luo G (2004) Analysis of time–cost–quality tradeoff optimization in construction project management. J Syst Eng 19:148–153MATHGoogle Scholar
  56. 56.
    Yang Q (2009) Application of time–cost-quality tradeoff optimization model based on improved PSO algorithm to construction project. In: Asia-Pacific Conference on Information Processing (APCIP), Shenzhen, China, pp. 298–301.Google Scholar
  57. 57.
    Yang T, Ignizio JP, Kim HJ (1991) Fuzzy programming with nonlinear membership functions: piecewise linear approximation. Fuzzy Sets Syst 41:39–53CrossRefMATHMathSciNetGoogle Scholar
  58. 58.
    Yovits MC (1984) Advances in computers, vol 23. Academic, Gainesville, FLMATHGoogle Scholar
  59. 59.
    Zeleny M (1981) The pros and cons of goal programming. Comput Oper Res 8:357–359CrossRefGoogle Scholar
  60. 60.
    Zhang H, Xing F (2010) Fuzzy-multi-objective particle swarm optimization for time–cost–quality tradeoff in construction. Autom Constr 19:1067–1075CrossRefMathSciNetGoogle Scholar
  61. 61.
    Zheng DXM, Thomas NS, Kumaraswamy MM (2005) Applying Pareto ranking and niche formation to genetic algorithm-based multi-objective time–cost optimization. J Constr Eng Manag 131:81–91CrossRefGoogle Scholar
  62. 62.
    Zimmermann HJ (1978) Fuzzy programming and linear programming with several objective functions. Fuzzy Sets Syst 1:45–55CrossRefMATHGoogle Scholar
  63. 63.
    Zimmermann HJ (1983) Fuzzy mathematical programming. Comput Oper Res 10:291–298CrossRefMathSciNetGoogle Scholar

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  • Seyed Hossein Razavi Hajiagha
    • 1
  • Hannan Amoozad Mahdiraji
    • 2
  • Shide Sadat Hashemi
    • 3
  1. 1.Productivity and Systematic Research and Studies GroupInstitute for Trade Studies and ResearchTehranIran
  2. 2.Kashan BranchIslamic Azad UniversityKashanIran
  3. 3.Management and Accounting FacultyAllameh Tabatabaei UniversityTehranIran

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