A novel multiple objective whale optimization for time-cost-quality tradeoff in non-unit repetitive projects

Nguyen, Dang-Trinh; Doan, Dinh-Thien-Vuong; Tran, Nguyen-Ngoc Cuong; Tran, Duc-Hoc

doi:10.1080/15623599.2021.1938939

Cited by 9 publications

(3 citation statements)

References 51 publications

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“…Nguyen et al present their innovative approach for a tradeoff between time, cost, and quality [44], and, furthermore, safety and environmental impact (reducing diesel and electricity consumption) [45]. The system [45] starts with a 3D model of construction and environment in Autodesk Revit.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The FBI population-based heuristic algorithm [49] inspired by the police investigation process was used to solve the optimization problem. The study [44] used algorithm WO based on the behavior of humpback whales. The authors suggest user-friendly software integrating various software platforms used in this study for further development.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Review of Energy-Efficient and Sustainable Construction Scheduling Supported with Optimization Tools

Dasović

Klanšek

2022

Energies

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This article reviews the accomplishments of studies in which optimization tools were used to develop energy-efficient and sustainable construction schedules. With the increase in global awareness of environmental issues, the construction industry has been forced to explore innovative techniques to make the building process more energy-efficient and sustainable. Project managers can use optimization tools in their scheduling procedures to address these issues in the early stages of the project. Therefore, this paper examines different optimization-based construction scheduling methods and their impact on schedule energy efficiency and the three key sustainability goals: economic viability, social equity, and environmental protection. Such a review has not yet been conducted to the best of our knowledge. This research aims to fill the gap and contribute to understanding advanced optimization tools that can pave the way to energy-efficient and sustainable scheduling practices. After a brief introduction, the background of optimization-based construction scheduling techniques that aim to improve construction management and incorporate these aspects into the decision-making process is explained. Then, these approaches are addressed in detail. It is determined for each study whether it adopted energy efficiency goals and which sustainability dimensions it considered within the proposed optimization model. The results of this study indicate a wide heuristic algorithms application for complex scheduling problems. Meanwhile, mathematical programming is still quite unexplored, especially methods that utilize algebraic modeling languages. This study provides a foundation for further research by addressing the current reach in development and possible knowledge gaps that could be researched in future studies. The paper also discusses the advantages and limitations of different approaches and illustrates the potential for utilizing these methods. Supported by the main review findings, conclusions and recommendations for further research are provided.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A Review of Energy-Efficient and Sustainable Construction Scheduling Supported with Optimization Tools

Dasović

Klanšek

2022

Energies

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“…Hamta et al (2021) developed a goal programming model for the TCQ trade-off problem and implemented the model on a case study [27]. used the multiple objective whale optimization (MOWO) approach to tackle the TCQ trade-off problem in reiterative construction projects [28]. Huynh et al (2021) compared the performance of four metaheuristic algorithms in solving the TCQ trade-off problem considering carbon dioxide emission [29].…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Three Metaheuristic Algorithms to Time-Cost-Quality Trade-Off Project Scheduling Problem for Construction Projects Considering Time Value of Money

et al. 2021

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Time, cost, and quality have been known as the project iron triangles and substantial factors in construction projects. Several studies have been conducted on time-cost-quality trade-off problems so far, however, none of them has considered the time value of money. In this paper, a multi-objective mathematical programming model is developed for time-cost-quality trade-off scheduling problems in construction projects considering the time value of money, since the time value of money, which is decreased during a long period of time, is a very important matter. Three objective functions of time, cost, and quality are taken into consideration. The cost objective function includes holding cost and negative cash flows. In this model, the net present value (NPV) of negative cash flow is calculated considering the costs of non-renewable (consumable) and renewable resources in each time period of executing activities, which can be mentioned as the other contribution of this study. Then, three metaheuristic algorithms including multi-objective grey wolf optimizer (MOGWO), non-dominated sorting genetic algorithm (NSGA-II), and multi-objective particle swarm optimization (MOPSO) are applied, and their performance is evaluated using six metrics introduced in the literature. Finally, a bridge construction project is considered as a real case study. The findings show that considering the time value of money can prevent cost overrun in projects. Additionally, the results indicate that the MOGWO algorithm outperforms the NSGA-II and MOPSO algorithms.

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Segmentation and Repetitive Scheduling of Linear Continuous Construction Projects

Moos

Velten

Weiß

2022

Operations Research Proceedings 2021

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A novel multiple objective whale optimization for time-cost-quality tradeoff in non-unit repetitive projects

Cited by 9 publications

References 51 publications

A Review of Energy-Efficient and Sustainable Construction Scheduling Supported with Optimization Tools

A Review of Energy-Efficient and Sustainable Construction Scheduling Supported with Optimization Tools

Application of Three Metaheuristic Algorithms to Time-Cost-Quality Trade-Off Project Scheduling Problem for Construction Projects Considering Time Value of Money

Segmentation and Repetitive Scheduling of Linear Continuous Construction Projects

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