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Discussion with the paper 'Project costs planning in the conditions of uncertainty' by H. Štiková

Author

Listed:
  • Igor KREJČÍ

    (Department of Systems Engineering, Faculty of Economics and Management, Czech University of Life Sciences Prague, Prague, Czech Republic)

  • Milan HOUŠKA

    (Department of Systems Engineering, Faculty of Economics and Management, Czech University of Life Sciences Prague, Prague, Czech Republic)

Abstract

In the paper, there is analysed one particular approach to the modelling uncertainty in the project management through an original version of the fuzzy CPM (Critical Path Method). First there is shown the relevance of using the fuzzy CPM in agriculture and the related branches and present the basics of the methods used. Then, there are described the imperfections of the work which is discussed and the impacts of the previously-published approach when applied in project management practice are emphasised. In the original paper, the author uses only the discrete fuzzy numbers for activity time durations which could be considered inappropriate for the time scheduling in project management. Consecutively, the direct application of the extension principle on the comparison of continuous durations could lead to the situation when both numbers can be greater than the second one with possibility equal to one. Moreover, the simple transformation of durations to the costs by linear equations with a positive slope does not respect the current project management theory and practice. Finally, the missing comparison of project fuzzy costs among individual variants of the project is calculated.

Suggested Citation

  • Igor KREJČÍ & Milan HOUŠKA, 2014. "Discussion with the paper 'Project costs planning in the conditions of uncertainty' by H. Štiková," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 60(11), pages 517-523.
    • Handle: RePEc:caa:jnlage:v:60:y:2014:i:11:id:51-2014-agricecon
    DOI: 10.17221/51/2014-AGRICECON
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    References listed on IDEAS

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    1. Dubois, Didier & Fargier, Helene & Fortemps, Philippe, 2003. "Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge," European Journal of Operational Research, Elsevier, vol. 147(2), pages 231-252, June.
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    3. T. Šubrt, 2004. "Multiple criteria network models for project management," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 50(2), pages 71-76.
    4. Carrosio, Giovanni, 2013. "Energy production from biogas in the Italian countryside: Policies and organizational models," Energy Policy, Elsevier, vol. 63(C), pages 3-9.
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