Time Reduction for Completion of a Civil Engineering Construction Using Fuzzy Clustering Techniques

In the civil engineering field, there are usually unexpected troubles that can cause delays during execution. This situation involves numerous variables (resource number, execution time, costs, working area availability, etc.), mutually dependent, that complicate the definition of the problem analytical model and the related resolution. Consequently, the decision-maker may avoid rational methods to define the activities that could be conveniently modified, relying only on his personal experience or experts’ advices. In order to improve this kind of decision from an objective point of view, the authors analysed the operation correction using a data mining technique, called Fuzzy Clustering. This allows the analysts to represent complex real scenarios and classify the various activities according to their influence on the reduction of the total execution time. The proposed procedure provides positive results that are also in compliance with significant operational constraints, such as the control of costs and areas needed by the workers to perform the tasks. Finally, it is possible to increase the input variable number preserving the algorithm simplicity and avoiding lacks of accuracy in the final numerical outcomes.

• Record URL:
  https://doi.org/10.3311/PPtr.9810
• Record URL:
  https://pp.bme.hu/tr/article/view/9810/7287
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/15873811
• Supplemental Notes:
  • © 2017 Gaetano Bosurgi et al.
• Authors:
  • Bosurgi, Gaetano
  • Carbone, Federico
  • Pellegrino, Orazio
  • Sollazzo, Giuseppe
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 25-34
• Serial:
  • Periodica Polytechnica Transportation Engineering
  • Volume: 45
  • Issue Number: 1
  • Publisher: Budapest University of Technology and Economics
  • ISSN: 1587-3811
  • Serial URL: http://www.pp.bme.hu/tr/index
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Civil engineering; Cluster analysis; Construction projects; Data mining; Decision making; Delays; Fuzzy systems
• Subject Areas: Administration and Management; Construction; Data and Information Technology; Highways;

Filing Info

• Accession Number: 01627297
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 27 2017 9:39AM