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Tytuł artykułu

A study on time schedules for construction projects in Hanoi, Vietnam

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Języki publikacji
EN
Abstrakty
EN
With its position as the capital, Hanoi is the political center as well as the second largest economic center of the country. Therefore, the city is always allocated a large budget in construction investment to create material facilities for political tasks and economic and social development. During the implementation of construction projects, a number of difficulties and limitations have appeared. In which, projects are delayed in construction and disbursement, reducing investment efficiency and not meeting the expectations of the government and people. From this fact, the authors have conducted a study to evaluate the causes affecting the time schedule of construction projects in Hanoi. The method F-APH (Fuzzy Analytic Hierarchy Process) was used to analyze data objectively and accurately about the causes affecting the time schedule. From there, these causes are classified into groups of subjective causes (from within the project) and groups of objective causes (from outside the project). The results show that subjective causes, originating from project participants, have a stronger influence than objective causes. A number of specific proposals to the actors involved in construction projects are made to eliminate or limit the impact of the causes of construction progress.
Słowa kluczowe
Rocznik
Strony
667--691
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
  • Hanoi Architectural University, Faculty of Civil Engineering, Km 10, Nguyen Trai Street, Thanh Xuan District, Hanoi City, Vietnam
Bibliografia
  • [1] HSHP (Hanoi Planning and Investment Department), Report on assessment and supervision of overall investment in Hanoi in 2018–2020. The Yellow Book of Hanoi City, Vietnam, 2021.
  • [2] J. Vijayalaxmi and U. Khan, “Assessment of factors affecting time and cost overruns in construction projects”, in Risk, reliability and sustainable remediation in the field of civil and environmental engineering. Elsevier, 2022, pp. 511–521, doi: 10.1016/B978-0-323-85698-0.00028-9.
  • [3] M.S. Bajjou and A. Chafi, “Empirical study of schedule delay in Moroccan construction projects”, International Journal of Construction Management, vol. 20, no. 7, pp. 783–800, 2020, doi: 10.1080/15623599.2018.1484859.
  • [4] J.B. Yang and S.F. Ou, “Using structural equation modeling to analyze relationships among key causes of delay in construction”, Canadian Journal of Civil Engineering, vol. 35, no. 4, pp. 321–332, 2008, doi: 10.1139/L07-101.
  • [5] A.H. Memon, I.A. Rahman, M.R. Abdullah and A.A. Azis, “Factors affecting construction cost in Mara large construction project: perspective of project management consultant”, International Journal of Sustainable Construction Engineering and Technology, vol. 1, no. 2, pp. 41–54, 2010. [Online]. Available: https://publisher.uthm.edu.my/ojs/index.php/IJSCET/article/view/62. [Accessed: 02 Nov. 2023].
  • [6] R.F. Aziz and A.A. Hakam, “Exploring delay causes of road construction projects in Egypt”, Alexandria Engineering Journal, vol. 55, no. 2, pp. 1515–1539, 2016, doi: 10.1016/j.aej.2016.03.006.
  • [7] I. Mahamid, “Analysis of schedule deviations in road construction projects and the effects of project physical characteristics”, Journal of Financial Management of Property and Construction, vol. 22, no. 2, pp. 192–210, 2017, doi: 10.1108/JFMPC-07-2016-0031.
  • [8] C.S. McCahon, “Using PERT as an approximation of fuzzy project-network analysis”, IEEE Transactions on Engineering Management, vol. 40, no. 2, pp. 146–153, 1993.
  • [9] O. Okmen and A.A. Oztas, “CPM-based scheduling method for construction projects with fuzzy sets and fuzzy operations”, Journal of the South African Institution of Civil Engineering, vol. 56, no. 2, pp. 2–8, 2014.
  • [10] S. Chanas and P. Zielinski, “Critical path analysis in the network with fuzzy activity times”, Fuzzy Sets and Systems, vol. 122, no. 2, pp. 195–204, 2001, doi: 10.1016/S0165-0114(00)00076-2.
  • [11] T.Q. Vu, “Factors influencing cost overruns in construction projects of international contractors in Vietnam”, The Journal of Asian Finance, Economics and Business, vol. 7, no. 9, pp. 389–400, 2020.
  • [12] L.H. Tai, “Investigating factors affecting construction cost and schedule overruns of public investment projects”, The Builder, March & April 2022.
  • [13] N.Q. Toan, N.T. Thuy, D.T. Hai, and P.X. Anh, “Comparing the risk management standpoint between the project participants for the urban road transport projects in Hanoi”, Archives of Civil Engineering, vol. 68, no. 2, pp. 275–295, 2022, doi: 10.24425/ace.2022.140642.
  • [14] T.C. Bang, “Using blurr sets in making progress of construction investment projects”, Construction Magazine. vol. 7, pp. 136–140, 2021.
  • [15] R.W. Saaty, “The analytic hierarchy process – what it is and how it is used”, Mathematical Modelling, vol. 9, no. 3–5, pp. 161–176, 1987.
  • [16] J.F. Hair, W.C. Black, B.J. Babin and R.E. Anderson, Multivariate data analysis, 7th ed. Prentice Hall, 2009.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b94d427e-839c-42b1-b9fd-efac5dc8821e
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