An optimization model for construction project scheduling by considering CO2 emissions with multi-mode resource constraints under interval-valued fuzzy uncertainty

Aramesh, S.; Mousavi, Seyed Meysam; Ghasemi, M.; Shahabi-Shahmiri, Reza

doi:10.1007/s13762-022-04377-4

Int. J. Environ. Sci. Technol.

2022

DOI: 10.1007/s13762-022-04377-4

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An optimization model for construction project scheduling by considering CO2 emissions with multi-mode resource constraints under interval-valued fuzzy uncertainty

S. Aramesh

Seyed Meysam Mousavi

M. Ghasemi

et al.

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Cited by 12 publications

References 45 publications

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A hybrid metaheuristic and simulation approach towards green project scheduling

Rabet,

Sajadi,

Tootoonchy

2024

Ann Oper Res

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This research tackles the environmental concern of greenhouse gas emissions in the execution of projects, with a focus on multi-site projects where the transportation of resources is a major source of emissions. Despite growing consciousness among consumers and stakeholders about sustainability, the domain of project scheduling has often overlooked the environmental impact. This paper seeks to bridge this oversight by exploring how to reduce greenhouse gas emissions during both project activities and resource transportation. A novel approach is proposed, combining a simulation model with an improved non-dominated sorted genetic algorithm. The simulation model incorporates the stochastic nature of emission rates and costs. This method is further refined with innovative techniques such as magnet-based crossover and mode reassignment. The former is a genetic algorithm operation inspired by magnetic attraction, which allows for a more diverse and effective exploration of solutions by aligning similar ’genes’ from parent solutions. The latter is a strategy for reallocating resources during project execution to optimize efficiency and reduce emissions. The efficacy of the proposed method is validated through testing on 2810 scenarios from established benchmark libraries, 100 additional scenarios adhering to the conventional multi-site problems, and a case study. The Best-Worst Method (BWM) is applied for identifying the best solution. The findings indicate substantial enhancements compared to traditional methods with a 12.7% decrease in project duration, 11.4% in costs, and a remarkable 13.6% reduction in greenhouse gas emissions.

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A hybrid metaheuristic and simulation approach towards green project scheduling

Rabet,

Sajadi,

Tootoonchy

2024

Ann Oper Res

View full text Add to dashboard Cite

show abstract

Multi-mode resource-constrained project scheduling problem along with material ordering under time-of-use electricity tariffs and carbon taxes

Pouramin,

Mirzazadeh,

Davari-Ardakani

et al. 2024

Ann Oper Res

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Minimizing fuel emission by optimizing ship scheduling considering priorities and release times

Ganji,

Gholami

2023

Int. J. Environ. Sci. Technol.

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An optimization model for construction project scheduling by considering CO2 emissions with multi-mode resource constraints under interval-valued fuzzy uncertainty

Cited by 12 publications

References 45 publications

A hybrid metaheuristic and simulation approach towards green project scheduling

A hybrid metaheuristic and simulation approach towards green project scheduling

Multi-mode resource-constrained project scheduling problem along with material ordering under time-of-use electricity tariffs and carbon taxes

Minimizing fuel emission by optimizing ship scheduling considering priorities and release times

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