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Method for Base Estimation of Construction Time for Linear Projects in Front-end Project Phases

Author(s):


Medium: journal article
Language(s): English
Published in: Organization, Technology and Management in Construction, , n. 2, v. 12
Page(s): 2312-2326
DOI: 10.2478/otmcj-2018-0026
Abstract:

Even though horizontally linear projects have low complexity schedules, they are still not successful in meeting planned time. The deadlines are mostly based on estimations done in front-end project development when limited data are available. Early time estimation models in literature rely on few variables and, almost in all cases, one of them is the estimated cost. Early cost estimations can significantly deviate from actual costs and thus lead to unreliable time estimation. Time estimation models based on neural network and other alternative methods require databases and software, which complicates the process of time estimation. The purpose of this paper is to bridge the gap of scarce time estimation models and unreliable time estimates by developing a new method for time estimation. This research has been done on one large sewer system project. The case study shows how to extract several continuous activities for a pipeline project chosen from a sewer system. Moreover, a new algorithm for the calculation of project duration is devised based on the existing equation related to the linear scheduling method, and this algorithm works with continuous activities. The new method for construction time estimation is based on the extraction of linear continuous activities, usage of the algorithm for identification of minimal buffer between activities, and calculation of the project duration. To verify the algorithm, this method is used on another pipeline project from a sewer system. The limitation is that this method can be used only for base estimation. Further research needs to be done to include uncertainties and risks in the method.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.2478/otmcj-2018-0026.
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  • Reference-ID
    10506905
  • Published on:
    25/11/2020
  • Last updated on:
    25/11/2020