Resource leveling in construction projects with activity splitting and resource constraints: a simulated annealing optimization

@article{Piryonesi2019ResourceLI,
  title={Resource leveling in construction projects with activity splitting and resource constraints: a simulated annealing optimization},
  author={S Madeh Piryonesi and Mehran Nasseri and Abdollah Ramezani},
  journal={Canadian Journal of Civil Engineering},
  year={2019}
}
Overtime and over-budget construction projects are not pleasant to any stakeholder. Stakeholders want construction projects to be completed without delay and excessive cost. It is possible to meet these objectives by using resource management techniques such as resource leveling. Due to the limitation of resources and different types of them in a construction project, optimizing the resource utilization is crucial. In this paper, a meta-heuristic simulated annealing resource leveling model is… 
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References

SHOWING 1-10 OF 47 REFERENCES
Cost Optimization Model for the Multiresource Leveling Problem with Allowed Activity Splitting
TLDR
This paper presents an optimization model for resource leveling that allows activity splitting and minimizes its associated costs, and can be used to determine at what values of the splitting cost, the preemption of an activity is recommended.
Optimization of Resource Allocation and Leveling Using Genetic Algorithms
Resource allocation and leveling are among the top challenges in project management. Due to the complexity of projects, resource allocation and leveling have been dealt with as two distinct
Optimizing Resource Leveling in Construction Projects
Construction schedules, generated by network scheduling techniques, often cause undesirable resource fluctuations that are impractical, inefficient, and costly to implement on construction sites.
An optimal construction resource leveling scheduling simulation model
To meet the physical limits of construction resources, to avoid day-to-day fluctuation in resource demands, and to maintain an even flow of application for construction resources, resource leveling
Mixed-integer linear programming for resource leveling problems
Stochastic Time-Cost-Resource Utilization Optimization Using Nondominated Sorting Genetic Algorithm and Discrete Fuzzy Sets
TLDR
The results show that adding the resource leveling capability to the previously developed TCO models provides more practical solutions in terms of resource allocation and utilization, which makes this research relevant to both industry practitioners and researchers.
Efficient Hybrid Genetic Algorithm for Resource Leveling via Activity Splitting
Resource leveling problem is an attractive field of research in project management. Traditionally, a basic assumption of this problem is that network activities could not be split. However, in
Multiheuristic Approach for Resource Leveling Problem in Construction Engineering: Hybrid Approach
The fluctuation of required resources causes problems in construction scheduling. Thus, researchers developed resource leveling techniques to minimize the deviation between the resource requirements
...
...