Construction project planning under fuzzy time constraint

Nabi Ibadov


A distinctive feature of construction projects is the uniqueness of conditions for their implementation. Therefore, the durations data of the works are often formulated imprecisely. On the other hand, the time limit for the execution of the works is defined in the contract conditions by data indicating the due time and the deadline. These indicate the distribution of time values, which the contractor can allocate for the implementation of the construction project in accordance with the client preferences. For assessing the compliance of the planned project makespan with the fuzzy time constraint, it is recommended to use the fuzzy sets theory. The article presents a method for assessing the level of satisfaction of fuzzy constraint of time for the execution of construction works using the probabilistic measure, in conjunction with the concept of α-cuts of a fuzzy number. The application of the presented method is demonstrated on a numerical example, which shows the compliance of the evaluation results with those obtained with the simulation methods. The article confirms the correctness of the assumptions of the presented method, which allows for its use for the formulation and resolving schedule optimization problems in the case of imprecisely formulated schedule input data.
Author Nabi Ibadov (FCE / ICE)
Nabi Ibadov,,
- The Institute of Civil Engineering
Journal seriesInternational Journal of Environmental Science and Technology, ISSN 1735-1472, (A 30 pkt)
Issue year2018
Publication size in sheets0.5
Keywords in EnglishConstruction planning · Fuzzy constraints · Fuzzy scheduling · Probabilistic measure
ASJC Classification1100 General Agricultural and Biological Sciences; 2304 Environmental Chemistry; 2305 Environmental Engineering
Languageen angielski
Construction_project_planning_under_fuzzy_time_con.pdf 1.65 MB
Score (nominal)30
Score sourcejournalList
ScoreMinisterial score = 30.0, 23-10-2019, ArticleFromJournal
Publication indicators Scopus Citations = 4; WoS Citations = 2; Scopus SNIP (Source Normalised Impact per Paper): 2017 = 0.904; WoS Impact Factor: 2017 = 2.037 (2) - 2017=2.152 (5)
Citation count*3 (2019-08-22)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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