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Optimizing Resource-Constrained Project Scheduling Problem considering the Reliability Function

Author

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  • Saeideh Naderi
  • Mohsen Vaez-Ghasemi
  • Farzad Movahedi Sobhani
  • Eza Lotfi

Abstract

Resource-constrained project scheduling has been a significant and practical problem in recent decades. In this research, besides previous assumptions and models regarding scheduling, the reliability function with a novel approach is included in the model. A new look at the project scheduling problem is pursued by studying the probability of access to renewable resources. The mentioned problem programming model is a mixed nonlinear mathematical model that uses the properties of an exponential function to become a linear programming model, exact optimization software is used to solve it in smaller dimensions, and a genetic algorithm is used to solve it in NP-hard dimensions. The algorithms and statistical analysis results at a 95% confidence level show the proper performance of the genetic algorithm; therefore, this algorithm is more efficient for the proposed model. Using the provided mathematical model, this research leads to decreasing time and lags, decreasing costs, and increasing reliability in multimode activities.

Suggested Citation

  • Saeideh Naderi & Mohsen Vaez-Ghasemi & Farzad Movahedi Sobhani & Eza Lotfi, 2022. "Optimizing Resource-Constrained Project Scheduling Problem considering the Reliability Function," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-10, June.
    • Handle: RePEc:hin:jnddns:7711383
    DOI: 10.1155/2022/7711383
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