A new surrogate measure for resilient approach to construction scheduling

Milat, Martina; Knezić, Snježana; Sedlar, Jelena

doi:10.1016/j.procs.2021.01.192

Cited by 8 publications

(13 citation statements)

References 18 publications

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“…The concept of resilient scheduling is built on the idea of providing enough time intervals in the initial baseline structure so the schedule is able to absorb disturbances caused by the impact of uncertainty. A common approach is to provide enough time floats in the initial solution by the use of different surrogate measures [28][29][30]61,62]. This way, the stability of a schedule is approximated under the low cost of computational complexity, providing a simple solution in the overall computationally demanding optimization process.…”

Section: Surrogate Measure and Activity Weightsmentioning

confidence: 99%

“…The surrogate measure in this study is modeled as a weighted sum of resourcetechnology free floats [30] of all activities in a project. The resource-technology free float (FF i ) calculates the amount of time for which an activity can be prolonged without postponing start times of succeeding activities, in a way that both precedence and resource relations are considered.…”

Section: Surrogate Measure and Activity Weightsmentioning

confidence: 99%

“…The optimization model presented in this study is based on the existing bi-objective resilient scheduling problem [30], which is improved by introducing the additional objective function to maximize the profit from a contractors' perspective. This way, an additional layer of financial stability is provided in the project baseline structure.…”

Section: Optimization Problemmentioning

confidence: 99%

“…To diminish unfavorable impacts stemming from the construction project environment, a relevant strategy is to prepare for uncertainty from the early stages of the project life cycle. To account for uncertainty as early as in the project planning phase, a resilient scheduling approach has been developed recently [28][29][30]. Resilient scheduling is a procedure to develop the optimal baseline makespan for a project, considering the trade-off between schedule stability or robustness, and other important objectives, such as makespan minimization [29].…”

Section: Introductionmentioning

confidence: 99%

“…The main objective of this research is to propose a comprehensive mathematical model for resilient scheduling as a trade-off between project robustness, project duration, and contractor's profit. Previous studies on resilient project scheduling [28][29][30] have not dealt with the finance flow modeling, so the mathematical problem presented in this study aims to contribute to the growing area of research on resilient baseline scheduling by introducing the additional objective function for profit maximization at the end of the project. The present research contributes to a more practical setting in the context of resilient construction scheduling by including the financial aspect in the existing problem.…”

Section: Introductionmentioning

confidence: 99%

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Resilient Scheduling as a Response to Uncertainty in Construction Projects

2021

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Complex construction projects are developed in a dynamic environment, where uncertainty conditions have a great potential to affect project deliverables. In an attempt to efficiently deal with the negative impacts of uncertainty, resilient baseline schedules are produced to improve the probability of reaching project goals, such as respecting the due date and reaching the expected profit. Prior to introducing the resilient scheduling procedure, a taxonomy model was built to account for uncertainty sources in construction projects. Thence, a multi-objective optimization model is presented to manage the impact of uncertainty. This approach can be described as a complex trade-off analysis between three important features of a construction project: duration, stability, and profit. The result of the suggested procedure is presented in a form of a resilient baseline schedule, so the ability of a schedule to absorb uncertain perturbations is improved. The proposed optimization problem is illustrated on the example project network, along which the probabilistic simulation method was used to validate the results of the scheduling process in uncertain conditions. The proposed resilient scheduling approach leads to more accurate forecasting, so the project planning calculations are accepted with increased confidence levels.

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Section: Surrogate Measure and Activity Weightsmentioning

confidence: 99%

Section: Surrogate Measure and Activity Weightsmentioning

confidence: 99%

Section: Optimization Problemmentioning

confidence: 99%