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Applying the Fuzzy PERT Method in Project Management: A Real-Life Case Study

Yıl 2023, Cilt: 9 Sayı: 2, 123 - 132, 30.06.2023

Emre Kenar Mümtaz İpek Muharrem Düğenci Ömer Abdulaziz Korkmaz

https://doi.org/10.22399/ijcesen.1262975

Öz

Time is the most precious resource for any business simply because no one can bring time back. Therefore, there is a huge need to be able to control time accurately. Also, the competitiveness between companies increased the value of time. Many investments were allocated to build methodologies that help to use time effectively. Because it became a fact that the speed of work accomplishment is the main factor for being a considerable competitor. Planning for future projects usually relays on non-fixed but mostly expected data. It is more reliable to use fuzzy methods for this situation. In this study, Fuzzy PERT (FPERT) was used as a project management technique to plan the construction of a marble factory from the establishment phase to the plan of the machines that will be used later on. FPERT showed more realistic results than any classical method would. Out of 16 routes, the final result of the completion time was (90.9,122.1,151.9) days which was determined after triangular fuzzy numbers for the activity times in the entire project. This article aims to prove the efficiency of fuzzy methodologies especially FPERT to be conducted in future planned projects through this real-life case study.

Anahtar Kelimeler

Project Management PERT Fuzzy PERT Fuzzy Logic

Kaynakça

  • [1] Simion, M., Vasile, G., Dinu, C., & Scutariu, R. (2019). CPM and PERT techniques for small-scale R&D projects. International Symposium “The Environmental and The Industry,” (SIMI 2019). https://doi.org/10.21698/simi.2019.fp22
  • [2] Ballesteros-Pérez, P. (2017). M-PERT: Manual Project-Duration Estimation Technique for Teaching Scheduling Basics. Journal of Construction Engineering and Management, 143(9). https://doi.org/10.1061/(asce)co.1943-7862.0001358
  • [3] Zadeh, L. A. (1973). Outline of a New Approach to the Analysis of Complex Systems and Decision Processes. IEEE Transactions on Systems, Man and Cybernetics, SMC-3(1). https://doi.org/10.1109/TSMC.1973.5408575
  • [4] Steyn, J., & Stoker, P. (2014). Does Measurement Theory Impact Project Performance? Procedia - Social and Behavioral Sciences, 119. https://doi.org/10.1016/j.sbspro.2014.03.071
  • [5] Junior, R. R., & de Carvalho, M. M. (2013). Understanding the impact of project risk management on project performance: An empirical study. Journal of Technology Management and Innovation, 8(SPL.ISS.2). https://doi.org/10.4067/s0718-27242013000300006
  • [6] Prade, H. (1979). Using fuzzy set theory in a scheduling problem: A case study. Fuzzy Sets and Systems, 2(2). https://doi.org/10.1016/0165-0114(79)90022-8
  • [7] Chanas, S., & Kamburowski, J. (1981). The use of fuzzy variables in pert. Fuzzy Sets and Systems, 5(1). https://doi.org/10.1016/0165-0114(81)90030-0
  • [8] Mazlum, M., & Güneri, A. F. (2015). CPM, PERT and Project Management with Fuzzy Logic Technique and Implementation on a Business. Procedia - Social and Behavioral Sciences, 210. https://doi.org/10.1016/j.sbspro.2015.11.378
  • [9] Aziz, R. F. (2013). Optimizing strategy software for repetitive construction projects within multi-mode resources. Alexandria Engineering Journal, 52(3). https://doi.org/10.1016/j.aej.2013.04.002
  • [10] Chanas, S., & Zieliński, P. (2001). Critical path analysis in the network with fuzzy activity times. Fuzzy Sets and Systems, 122(2). https://doi.org/10.1016/S0165-0114(00)00076-2
  • [11] Chanas, S., Dubois, D., & Zieliński, P. (2002). On the sure criticality of tasks in activity networks with imprecise durations. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 32(4). https://doi.org/10.1109/TSMCB.2002.1018760
  • [12] McCahon, C. S., & Stanley Lee, E. (1990). Comparing fuzzy numbers: The proportion of the optimum method. International Journal of Approximate Reasoning, 4(3). https://doi.org/10.1016/0888-613X(90)90019-X
  • [13] Gencer, & Türkbey. (2001). Proje tamamlanma zamaninin bulunmasinda istatistiksel analiz yardimiyla bulanik-pert, klasik-pert ve gerçek-dağilim yöntemlerinin karşilaştirilmasi. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, 3(2); 29–39.
  • [14] Lootsma, F. A. (1989). Stochastic and fuzzy Pert. European Journal of Operational Research, 43(2). https://doi.org/10.1016/0377-2217(89)90211-7

Yıl 2023, Cilt: 9 Sayı: 2, 123 - 132, 30.06.2023

Emre Kenar Mümtaz İpek Muharrem Düğenci Ömer Abdulaziz Korkmaz

https://doi.org/10.22399/ijcesen.1262975

Öz

Kaynakça

  • [1] Simion, M., Vasile, G., Dinu, C., & Scutariu, R. (2019). CPM and PERT techniques for small-scale R&D projects. International Symposium “The Environmental and The Industry,” (SIMI 2019). https://doi.org/10.21698/simi.2019.fp22
  • [2] Ballesteros-Pérez, P. (2017). M-PERT: Manual Project-Duration Estimation Technique for Teaching Scheduling Basics. Journal of Construction Engineering and Management, 143(9). https://doi.org/10.1061/(asce)co.1943-7862.0001358
  • [3] Zadeh, L. A. (1973). Outline of a New Approach to the Analysis of Complex Systems and Decision Processes. IEEE Transactions on Systems, Man and Cybernetics, SMC-3(1). https://doi.org/10.1109/TSMC.1973.5408575
  • [4] Steyn, J., & Stoker, P. (2014). Does Measurement Theory Impact Project Performance? Procedia - Social and Behavioral Sciences, 119. https://doi.org/10.1016/j.sbspro.2014.03.071
  • [5] Junior, R. R., & de Carvalho, M. M. (2013). Understanding the impact of project risk management on project performance: An empirical study. Journal of Technology Management and Innovation, 8(SPL.ISS.2). https://doi.org/10.4067/s0718-27242013000300006
  • [6] Prade, H. (1979). Using fuzzy set theory in a scheduling problem: A case study. Fuzzy Sets and Systems, 2(2). https://doi.org/10.1016/0165-0114(79)90022-8
  • [7] Chanas, S., & Kamburowski, J. (1981). The use of fuzzy variables in pert. Fuzzy Sets and Systems, 5(1). https://doi.org/10.1016/0165-0114(81)90030-0
  • [8] Mazlum, M., & Güneri, A. F. (2015). CPM, PERT and Project Management with Fuzzy Logic Technique and Implementation on a Business. Procedia - Social and Behavioral Sciences, 210. https://doi.org/10.1016/j.sbspro.2015.11.378
  • [9] Aziz, R. F. (2013). Optimizing strategy software for repetitive construction projects within multi-mode resources. Alexandria Engineering Journal, 52(3). https://doi.org/10.1016/j.aej.2013.04.002
  • [10] Chanas, S., & Zieliński, P. (2001). Critical path analysis in the network with fuzzy activity times. Fuzzy Sets and Systems, 122(2). https://doi.org/10.1016/S0165-0114(00)00076-2
  • [11] Chanas, S., Dubois, D., & Zieliński, P. (2002). On the sure criticality of tasks in activity networks with imprecise durations. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 32(4). https://doi.org/10.1109/TSMCB.2002.1018760
  • [12] McCahon, C. S., & Stanley Lee, E. (1990). Comparing fuzzy numbers: The proportion of the optimum method. International Journal of Approximate Reasoning, 4(3). https://doi.org/10.1016/0888-613X(90)90019-X
  • [13] Gencer, & Türkbey. (2001). Proje tamamlanma zamaninin bulunmasinda istatistiksel analiz yardimiyla bulanik-pert, klasik-pert ve gerçek-dağilim yöntemlerinin karşilaştirilmasi. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, 3(2); 29–39.
  • [14] Lootsma, F. A. (1989). Stochastic and fuzzy Pert. European Journal of Operational Research, 43(2). https://doi.org/10.1016/0377-2217(89)90211-7
Toplam 14 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Araştırma Makalesi
Yazarlar

Emre Kenar 0000-0002-0989-3242

Mümtaz İpek 0000-0001-9619-2403

Muharrem Düğenci 0000-0001-7091-9096

Ömer Abdulaziz Korkmaz 0000-0002-4603-0876

Yayımlanma Tarihi 30 Haziran 2023
Gönderilme Tarihi 10 Mart 2023
Kabul Tarihi 10 Haziran 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 9 Sayı: 2

Kaynak Göster

APA Kenar, E., İpek, M., Düğenci, M., Korkmaz, Ö. A. (2023). Applying the Fuzzy PERT Method in Project Management: A Real-Life Case Study. International Journal of Computational and Experimental Science and Engineering, 9(2), 123-132. https://doi.org/10.22399/ijcesen.1262975
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