This paper surveys applications of queueing theory for semiconductor manufacturing
systems (SMSs). Due to sophisticated tool specifications and process flows in …

We show that several well-known optimization problems related to the optimal control of
queues are provably intractable—independently of any unproven conjecture such as P≠ …

This paper presents a data-driven optimization-based approach to allocate chargers for
battery electric vehicle (BEV) taxis throughout a city with the objective of minimizing the …

Power grids, flexible manufacturing, cellular communications: interconnectedness has
consequences. This remarkable book gives the tools and philosophy you need to build …

This paper deals with a basic issue: How does one approach the problem of designing the
“right” objective for a given resource allocation problem? The notion of what is right can be …

The subject of this paper is open multiclass queueing networks, which are common models
of communication networks, and complex manufacturing systems such as wafer fabrication …

We analyze a general market for an industry of competing service facilities. Firms
differentiate themselves by their price levels and the waiting time their customers …

We develop a mathematical programming approach for the classical PSPACE-hard restless
bandit problem in stochastic optimization. We introduce a hierarchy of N (where N is the …

Novel advanced policy gradient (APG) methods, such as trust region policy optimization and
proximal policy optimization (PPO), have become the dominant reinforcement learning …

We develop a programmatic procedure for establishing the stability of queueing networks
and scheduling policies. The method uses linear or nonlinear programming to determine …