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Articles

Latin hypercube sampling-based NSGA-III optimization model for multimode resource constrained time–cost–quality–safety trade-off in construction projects

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Pages 3158-3168 | Published online: 20 Nov 2020
 

Abstract

Many researchers have paid significant amount of attention for the development of time-cost, time-cost-quality and time–cost–safety trade-off optimization models. However, there is still a need to integrate the quality and safety together in timecost trade-off optimization. To fill this gap, considering the multimode activities in project, this paper presents a multimode resource-constrained timecostqualitysafety trade-off optimization model. Besides, this study considered the limited availability of resources for each execution mode of activities. A population-based meta-heuristics approach the nondominated sorting genetic algorithm III (NSGA III) is employed to develop the model. Also, Latin hypercube sampling for population initialization, analytical hierarchy process for quality determination and fuzzy logic for safety parameters determination are used. A case study of building construction project is used to demonstrate the applicability of proposed model. Whereas, the measure of various performance metrics and comparisons with existing trade-off optimization models demonstrate the effectiveness of proposed model in simultaneous optimization of four objectives. Moreover, a value path plot is prepared for the visualization of more than three objectives and a priori approach is presented to select one solution from obtained Pareto-optimal front.

Acknowledgments

The authors thankfully recognize project team for helping in data preparation is also noticeable.

Disclosure statement

The authors report no potential conflict of interest with any person and organization.

Data availability statement

The authors approve that data associated to outcomes of this study are accessible within the article and supplementary material.

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