Control strategies for transport networks under demand uncertainty

Optimal Capacity Expansion Strategies under Demand Uncertainty

This paper presents a novel approach to compute optimal machine, shop oor and shell space expansion times under uncertain customer demand. It considers multiple machine types and allows for positive lead times for each type. Demand is assumed to be nondecreasing in a \weak" sense. A polynomial time algorithm (FIFEX) is developed and shown to be eeective and eecient with an example from the Semi...

Capacity Investment Under Postponement Strategies, Market Competition, and Demand Uncertainty

We provide a comprehensive analysis of capacity investment decisions in duopoly models with demand uncertainty. Firms make capacity investment, production, delivery and pricing decisions. Capacity investment decisions are always made ex-ante demand whereas price decisions always ex-post. The interplay between the timing of demand information and the decision of production and delivery endows fi...

Multi-resource investment strategies: Operational hedging under demand uncertainty

Consider a ®rm that markets multiple products, each manufactured using several resources representing various types of capital and labor, and a linear production technology. The ®rm faces uncertain product demand and has the option to dynamically readjust its resource investment levels, thereby changing the capacities of its linear manufacturing process. The cost to adjust a resource level eith...

Stochastic Model Predictive Control for Water Transport Networks with Demand Forecast Uncertainty

Two formulations of the stochastic model predictive control (SMPC) problem for the control of large-scale drinking water networks are presented in this chapter. The first approach, named chance-constrained MPC, makes use of the assumption that the uncertain future water demands follows some known continuous probability distribution while at the same time certain risk (probability) for the state...

Systems under Demand Uncertainty