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The Use of Fuzzy Numbers in Practical Project Planning and Control

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Fuzzy Optimization

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 254))

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Abstract

The paper proposes how to use fuzzy numbers in project planning and control in such a way that it would have a chance to be used in practice. The method is destined for all the projects, but especially for those where in the initial phase the knowledge about the project is very incomplete and is made stepwise more precise during the project execution, also for those in which initial assumptions about the project execution are due to later changes.

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References

  1. Cioffi, D.F.: Designing project management: A scientific notation and an improved formalism for earned value calculations. International Journal of Project Management 24(2), 136–144 (2006)

    Article  MathSciNet  Google Scholar 

  2. Chanas, S., Zielinski, P.: Critical path analysis in the network with fuzzy activity times. Fuzzy Sets and Systems 122(2), 195–204 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  3. Dałkowski, T.B., Kuchta, D.: Klasyczna i zmodyfikowana metoda Earned Value w zarządzaniu projektami (Classic and modified Earned Value Method in project management, in Polish). Bad. Oper. Decyz. nb 3-4, pp. 35–52 (2001)

    Google Scholar 

  4. Hardie, N.: The prediction and control of project duration: a recursive model. International Journal of Project Management 19(7), 401–409 (2001)

    Article  Google Scholar 

  5. Kuchta, D.: Fuzzyfication of the earned value method. WSEAS Trans. Syst. 4(12), 2222–2229 (2005)

    Google Scholar 

  6. Li, J., Moselhi, O., Alksass, S.: Forecasting project status by using fuzzy logic. J. Constr. Engrg. and Mgmt. 132(11), 1193–1202 (2006)

    Article  Google Scholar 

  7. Lipke, W., Zwikael, O., Henderson, K., Anbari, F.: Prediction of project outcome: The application of statistical methods to earned value management and earned schedule performance indexes. International Journal of Project Management (in Press) (Available online April 8, 2008)

    Google Scholar 

  8. Noori, S., Bagherpour, M., Zareei, A.: Applying fuzzy control chart in Earned Value analysis. World Applied Science Journal 3(4), 684–690 (2008)

    Google Scholar 

  9. Vandevoorde, S., Vanhoucke, M.: A comparison of different project duration forecasting methods using earned value metrics. International Journal of Project Management 24(4), 289–302 (2006)

    Article  Google Scholar 

  10. van de Vonder, S., Ballestín, F., Demeulemeester, E., Herroelen, W.: Heuristic procedures for reactive project scheduling. Computers & Industrial Engineering 52(1), 11–28 (2007)

    Article  Google Scholar 

  11. Zielinski, P.: On computing the latest starting times and floats of activities in a network with imprecise durations. Fuzzy Sets and Systems 150(1), 53–76 (2005)

    Article  MATH  MathSciNet  Google Scholar 

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Kuchta, D. (2010). The Use of Fuzzy Numbers in Practical Project Planning and Control. In: Lodwick, W.A., Kacprzyk, J. (eds) Fuzzy Optimization. Studies in Fuzziness and Soft Computing, vol 254. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13935-2_15

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  • DOI: https://doi.org/10.1007/978-3-642-13935-2_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13934-5

  • Online ISBN: 978-3-642-13935-2

  • eBook Packages: EngineeringEngineering (R0)

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