IDEAS home Printed from https://ideas.repec.org/a/caa/jnlage/v60y2014i11id51-2014-agricecon.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/51/2014-AGRICECON.html
    Download Restriction: free of charge
    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/51/2014-AGRICECON.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/51/2014-AGRICECON?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Carrosio, Giovanni, 2013. "Energy production from biogas in the Italian countryside: Policies and organizational models," Energy Policy, Elsevier, vol. 63(C), pages 3-9.
    2. D. G. Malcolm & J. H. Roseboom & C. E. Clark & W. Fazar, 1959. "Application of a Technique for Research and Development Program Evaluation," Operations Research, INFORMS, vol. 7(5), pages 646-669, October.
    3. 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.
    4. Cooke-Yarborough, R.E., 1964. "Critical Path Planning and Scheduling: An Introduction and Example," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 32(01), pages 1-13, March.
    5. T. Šubrt, 2004. "Multiple criteria network models for project management," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 50(2), pages 71-76.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dubois, Didier & Fargier, Helene & Galvagnon, Vincent, 2003. "On latest starting times and floats in activity networks with ill-known durations," European Journal of Operational Research, Elsevier, vol. 147(2), pages 266-280, June.
    2. Yakhchali, Siamak Haji & Ghodsypour, Seyed Hassan, 2010. "Computing latest starting times of activities in interval-valued networks with minimal time lags," European Journal of Operational Research, Elsevier, vol. 200(3), pages 874-880, February.
    3. Kamburowski, J., 1997. "New validations of PERT times," Omega, Elsevier, vol. 25(3), pages 323-328, June.
    4. Xiong, Jian & Leus, Roel & Yang, Zhenyu & Abbass, Hussein A., 2016. "Evolutionary multi-objective resource allocation and scheduling in the Chinese navigation satellite system project," European Journal of Operational Research, Elsevier, vol. 251(2), pages 662-675.
    5. Rostami, Salim & Creemers, Stefan & Leus, Roel, 2024. "Maximizing the net present value of a project under uncertainty: Activity delays and dynamic policies," European Journal of Operational Research, Elsevier, vol. 317(1), pages 16-24.
    6. Grzegorz Ślusarz & Barbara Gołębiewska & Marek Cierpiał-Wolan & Jarosław Gołębiewski & Dariusz Twaróg & Sebastian Wójcik, 2021. "Regional Diversification of Potential, Production and Efficiency of Use of Biogas and Biomass in Poland," Energies, MDPI, vol. 14(3), pages 1-20, January.
    7. Wirth, Steffen, 2014. "Communities matter: Institutional preconditions for community renewable energy," Energy Policy, Elsevier, vol. 70(C), pages 236-246.
    8. Nima Zoraghi & Aria Shahsavar & Babak Abbasi & Vincent Peteghem, 2017. "Multi-mode resource-constrained project scheduling problem with material ordering under bonus–penalty policies," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(1), pages 49-79, April.
    9. Pérez, José García & Martín, María del Mar López & García, Catalina García & Sánchez Granero, Miguel Ángel, 2016. "Project management under uncertainty beyond beta: The generalized bicubic distribution," Operations Research Perspectives, Elsevier, vol. 3(C), pages 67-76.
    10. He-Yau Kang & Amy H. I. Lee & Tzu-Ting Huang, 2016. "Project Management for a Wind Turbine Construction by Applying Fuzzy Multiple Objective Linear Programming Models," Energies, MDPI, vol. 9(12), pages 1-15, December.
    11. Tsao, Yu-Chung & Thanh, Vo-Van, 2019. "A multi-objective mixed robust possibilistic flexible programming approach for sustainable seaport-dry port network design under an uncertain environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 13-39.
    12. Bluemling, Bettina, 2013. "Synopsis of the Special Issue Section: “The social organization of agricultural biogas production and use”," Energy Policy, Elsevier, vol. 63(C), pages 52-54.
    13. Mohammadrezaei, Rashed & Zareei, Samira & Behroozi- Khazaei, Nasser, 2018. "Optimum mixing rate in biogas reactors: Energy balance calculations and computational fluid dynamics simulation," Energy, Elsevier, vol. 159(C), pages 54-60.
    14. Tsao, Yu-Chung & Thanh, Vo-Van, 2021. "Toward sustainable microgrids with blockchain technology-based peer-to-peer energy trading mechanism: A fuzzy meta-heuristic approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    15. R A Bowman, 2007. "Efficient sensitivity analysis of PERT network performance measures to significant changes in activity time parameters," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(10), pages 1354-1360, October.
    16. Lau, Hon-Shiang & Hing-Ling Lau, Amy, 1996. "Estimating the demand distributions of single-period items having frequent stockouts," European Journal of Operational Research, Elsevier, vol. 92(2), pages 254-265, July.
    17. Bhaskar, Tarun & Pal, Manabendra N. & Pal, Asim K., 2011. "A heuristic method for RCPSP with fuzzy activity times," European Journal of Operational Research, Elsevier, vol. 208(1), pages 57-66, January.
    18. Catalina García & José Pérez & Salvador Rambaud, 2010. "Proposal of a new distribution in PERT methodology," Annals of Operations Research, Springer, vol. 181(1), pages 515-538, December.
    19. Peidro, David & Mula, Josefa & Jiménez, Mariano & del Mar Botella, Ma, 2010. "A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment," European Journal of Operational Research, Elsevier, vol. 205(1), pages 65-80, August.
    20. Bocewicz Grzegorz & Banaszak Zbigniew, 2009. "Abductive Reasoning Driven Approach to Project - Like Production Flow Prototyping," Foundations of Management, Sciendo, vol. 1(1), pages 43-62, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnlage:v:60:y:2014:i:11:id:51-2014-agricecon. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.