Optimizing Resource-Constrained Project Scheduling Problem considering the Reliability Function

Optimizing Resource-Constrained Project Scheduling Problem considering the Reliability Function

Blog Article

Resource-constrained project scheduling has been read more 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 poise pads in bulk the proposed model.Using the provided mathematical model, this research leads to decreasing time and lags, decreasing costs, and increasing reliability in multimode activities.