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Project Crashing with Crash Duration Consumption Rate: An Illustrative Example

Turkoglu Harun,Polat Gul,Damci Atilla,Akin Firat Dogu

Published 2020 in Unknown venue

ABSTRACT

Completing on time, within the estimated budget and at the desired quality are three main constraints of construction projects. However, construction projects become nowadays more complex than ever, so they are subjected to uncertainties and changes throughout the project life cycles. These uncertainties and changes may lead to severe delays in project duration. Therefore, project managers desire to reduce the project duration without changing scope of the project. Crashing a project is an advanced project management strategy, which aims to achieve the maximum reduction in project duration with the minimum additional cost without changing the scope. However, project crashing is a difficult task and should be used if it is necessarily needed. This paper proposes a model that considers crash duration consumption rates of activities for solving the project crashing problem. The crash duration consumption rate is the percentage that is set to determine the maximum amount of crash duration that an activity can consume with safety margin. The proposed model enables the schedulers to assign crash duration consumption rates to each activity that can be used during the project crashing procedure. Having applied the proposed model, the Monte Carlo simulation is also performed to determine the probability of completion of the project at the latest in crashed project duration. The applicability of the proposed model is presented along with an illustrative example. The proposed model is supposed to minimize the likelihood of delays, while maintaining schedule flexibility. In addition, the proposed model provides schedulers a new perspective in solving project crashing problems. © 2020 The Authors. Published by Budapest University of Technology and Economics & Diamond Congress Ltd Peer-review under responsibility of the Scientific Committee of the Creative Construction Conference 2020.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    Unknown venue

  • Publication date

    Unknown publication date

  • Fields of study

    Engineering, Environmental Science

  • Identifiers
    DOI 10.3311/ccc2020-046
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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