Modeling and multi-objective optimization of time, greenhouse gas emissions, and resources for sustainable construction projects
Traditionally, project scheduling and environmental impact assessment are carried out separately which is ill-suited for modern organizations as creating a project plan that optimizes for environmental goals can have an adverse effect on project time and resource utilization efficiency. This study a...
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| Vydáno v: | Sustainable production and consumption Ročník 39; s. 269 - 284 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Ltd
01.07.2023
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| ISSN: | 2352-5509, 2352-5509 |
| On-line přístup: | Získat plný text |
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| Abstract | Traditionally, project scheduling and environmental impact assessment are carried out separately which is ill-suited for modern organizations as creating a project plan that optimizes for environmental goals can have an adverse effect on project time and resource utilization efficiency. This study aims to address this issue by considering project time, greenhouse gas emissions, and resource-leveling objectives simultaneously. Multi-objective Grey Wolf Optimization algorithm has been modified by incorporating genetic operators and a local search heuristic and its performance was compared with the elitist non-dominated sorting genetic algorithm II on six assessment metrics. The computational experiments exhibited that the modified multi-objective Grey Wolf Optimization algorithm outdid the non-dominated sorting genetic algorithm on five out of six assessment metrics. Two case studies have been used to demonstrate the applicability and validity of the presented model. In the obtained Pareto front solutions for the real-life case study, the range of time, greenhouse gas emissions, and resource deviation have been 594–835 (days), 19,870,953.1-20,938,469.6 (kgCO2-e) and 67,204.93-141,915.55 (unitless) respectively. The examination of tradeoffs between objectives showed that greenhouse gas emissions can be decreased if the makespan and resource deviation are allowed a slight increase at various decision points. The presented model can help practitioners and researchers make practical tradeoffs between the conflicting goals of duration, greenhouse gas emissions, and resource optimization. |
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| AbstractList | Traditionally, project scheduling and environmental impact assessment are carried out separately which is ill-suited for modern organizations as creating a project plan that optimizes for environmental goals can have an adverse effect on project time and resource utilization efficiency. This study aims to address this issue by considering project time, greenhouse gas emissions, and resource-leveling objectives simultaneously. Multi-objective Grey Wolf Optimization algorithm has been modified by incorporating genetic operators and a local search heuristic and its performance was compared with the elitist non-dominated sorting genetic algorithm II on six assessment metrics. The computational experiments exhibited that the modified multi-objective Grey Wolf Optimization algorithm outdid the non-dominated sorting genetic algorithm on five out of six assessment metrics. Two case studies have been used to demonstrate the applicability and validity of the presented model. In the obtained Pareto front solutions for the real-life case study, the range of time, greenhouse gas emissions, and resource deviation have been 594–835 (days), 19,870,953.1-20,938,469.6 (kgCO2-e) and 67,204.93-141,915.55 (unitless) respectively. The examination of tradeoffs between objectives showed that greenhouse gas emissions can be decreased if the makespan and resource deviation are allowed a slight increase at various decision points. The presented model can help practitioners and researchers make practical tradeoffs between the conflicting goals of duration, greenhouse gas emissions, and resource optimization. |
| Author | Hussain, Iftikhar Hussain, Altaf |
| Author_xml | – sequence: 1 givenname: Altaf surname: Hussain fullname: Hussain, Altaf email: altafhussain@uetpeshawar.edu.pk – sequence: 2 givenname: Iftikhar surname: Hussain fullname: Hussain, Iftikhar |
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| Keywords | Modified multi-objective grey wolf optimization algorithm Greenhouse gas emissions Multi-objective project scheduling Sustainable construction management Resource-leveling |
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