... acts as a tool of machine learning and managerial decision-making for coping up big data. Design/methodology/approach Random sample-based sampling design methodology is adapted and mean square error is computed on the data set. Confidence intervals are calculated using the simulation over multiple...

... the solution using traditional optimization approach, genetic algorithm and simulation optimization approach. Findings The models capture the impact of disruption risk on optimal sourcing decision. When demand is highly uncertain the order should be place with the lowest cost suppliers in case...

.... Design/methodology/approach The system dynamics methodology is used as a modeling and analysis tool to investigate the supply chain problem of an organization. The simulation model of the supply chain is made considering the relationships among different variables, using system dynamics concepts...

... for our proposed model for the cluster‐based diffusion. The formulation of the various corresponding models is presented in section 3. In section 4, the results from a simulation analysis are presented and discussed. Section 5 concludes with some suggestions for extending this work. Based...