Abstract In this article, we consider transport networks with uncertain demands. Network dynamics are given by linear hyperbolic partial differential equations and suitable coupling conditions, while demands incorporated as solutions to stochastic equations. For the demand satisfaction, solve a constrained optimal control problem. Controls in terms of network inputs then calculated explicitly f...

The demand forecasting is essential for all production and non-production systems. However, nowadays there are only few researches on this area. Most of researches somehow benefited from simulation in the conditions of demand uncertainty. But this paper presents an iterative method to find most probable stochastic demand point with normally distributed and independent variables of n-dime...

This paper investigates the impacts of both the demand uncertainty and the supply disruption probability on the decisions of two sourcing strategies: one is dual sourcing and the other is single sourcing with contingent supply. The expected profit functions and the optimal decisions of the buyer are derived and compared. Then sensitivity analysis is given through numerical examples. Explicit in...

Key challenge for mastering high uncertainty of both demand and supply is to attune products and business processes in the entire supply chain continuously to customer requirements. Product configurators have proven to be powerful tools for managing demand uncertainty. This paper assesses how configurators can be used for combined product and process configuration in order to support mastering ...