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

  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},
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… 
A Generalized MILP Formulation for the Period-Aggregated Resource Leveling Problem with Variable Job Duration
Theoretical study and computational experiments show that the proposed generalized mathematical formulation for a resource leveling problem with variable job duration provides more flexible resource allocation resulting in better final solutions.
Stochastic resource leveling optimization method for trading off float consumption and project completion probability
Existing resource leveling (RL) approaches fall short of analyzing the trade‐off relation between the total float consumption and project completion probability in a real‐life project RL problem.
Two Stage Optimization Models of the NCSRPE of Programs from the Perspective of Work
The results show that the two models can effectively solve the optimization problem of program planning and adjustment under multiple independent stakeholders.
Project Portfolio Selection Considering Uncertainty: Stochastic Dominance-Based Fuzzy Ranking
This research alleviates the subjective bias in risk assessment in estimating the expected value hidden in the project portfolio and adds the stochastic dominance rule to the fuzzy ranking process contributes to efficiency in project portfolio selection.
A Combinatorial Optimization Framework for Scoring Students in University Admissions
A combinatorial optimization framework is proposed to weigh academic performance and experiential factors for ranking and selecting students for admission and is illustrated for selecting an incoming class by optimizing predicted graduation rate and by developing an eligibility index.
The Application of Data Analytics to Asset Management: Deterioration and Climate Change Adaptation in Ontario Roads
Infrastructure asset management is the science and practice of driving the maximum value and levels of service from physical infrastructure systems (e.g. roads, bridges, water and wastewater). This
Analysis of the material distribution system of wise information technology of 120 under deep learning
The improved hybrid algorithm proposed in this study can effectively reduce distribution costs, shorten transportation routes, and improve optimization efficiency, indicating that the hybrid algorithm suggested is effective and practical when applied in the medical material distribution system.
Evaluation of solidification/stabilization in arsenic-contaminated soils using lime dust and cement kiln dust
Contamination of soil and underground waters is a common environmental problem. Arsenic is a toxic chemical used widely in chemical industrial applications. New methods such as
Biodegradable Chelator-Assisted Washing and Stabilization of Arsenic-Contaminated Excavated Soils
Excavated soils from construction activities contaminated with geogenic arsenic (As) are increasing concerns owing to after disposal impact on ecosystem and human health. Washing remediation with


Cost Optimization Model for the Multiresource Leveling Problem with Allowed Activity Splitting
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
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