Capacity planning in stochastic and time-dependent operations systems

Manufacturing and service firms use capacity planning to match capacity with demand. It is usually subject to stochastic and time-dependent variability in demand and capacity. This dissertation investigates how to set capacity in stochastic and time-dependent operations systems and analyzes the benefit of incorporating future demand changes in the decision making.The book contains the following three scientific essays that constitute the dissertation of Jannik Vogel.[1] Quality-speed trade-offs in dynamic service systems: Do future demand changes matter?[2] Planning capacity in stochastic MTO production systems with time-dependent demand: The clear the queue effect[3] The optimal time to adapt the processing rate in a make-to-order production system