Abstract

Both the construction clients and the contractors want their projects delivered on time. Construction schedules, usually tight from the beginning, tend to expire as the progress of works is disturbed by materializing risks. As consequence, the project’s original milestones are delayed. To protect the due date and, at the same time, avoid changes to the logic of work, the manager needs to the project progress and, if delays occur, speed up processes not yet completed. The authors investigate the problem of selecting the optimal set of actions of responding to schedule delays. They put forward a simulation-based method of selecting schedule compression measures (speeding up processes) and determining the best moment to take such actions. The idea is explained using a simple case. The results confirm that it is possible to find an easily implementable schedule crashing mode to answer schedule disturbances. The proposed method enables minimizing the cost of schedule crashing actions and the cost of delays as well as increasing the robustness of the schedule by reducing differences between the actual and the as-planned process starts. It is intended as a decision support tool to help construction managers prepare better reactive schedules. The lowest costs are achieved if the acceleration measures are implemented with some time lag to the occurrence of delays.

Highlights

  • Simulation is a technique of solving problems that consists of tracking changes in the dynamic model of a system over time [47,48]

  • The application of the method is presented in an example

  • It is based on the schedule of a project to build a single block of flats

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Summary

Introduction

Risk and uncertainty are inherent in construction projects [1,2]. Construction is claimed to be more vulnerable to them than other types of economic activity [3]. The effects of a large number of project participants, long production cycles, and variable locations of work units add to the impacts of external environmental factors. The actual construction time is rarely in line with the initial schedules. This is due to the effects of random conditions. The recent literature presents two directions of non-deterministic construction scheduling: one based on stochastic methods, the other employing the fuzzy set theory

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