A large number of problems in production planning and scheduling, location, transportation,
finance, and engineering design require that decisions be made in the presence of …

This paper reviews the literature on strategic capacity management concerned with
determining the sizes, types, and timing of capacity investments and adjustments under …

A comprehensive, self-contained survey of the theory and applications of differential games,
one of the most commonly used tools for modelling and analysing economics and …

This book presents a radically new approach to problems of evaluating and optimizing the
performance of continuous-time stochastic systems. This approach is based on the use of a …

This paper addresses a multi-period investment model for capacity expansion in an
uncertain environment. Using a scenario tree approach to model the evolution of uncertain …

Because they incorporate both time-and event-driven dynamics, stochastic hybrid systems
(SHS) have become ubiquitous in a variety of fields, from mathematical finance to biological …

This paper addresses a general class of capacity planning problems under uncertainty,
which arises, for example, in semiconductor tool purchase planning. Using a scenario tree to …

We study the interplay of demand and supply uncertainty in capacity and outsourcing
decisions in multi-stage supply chains. We consider a firm's investment in two stages of a …

We deal with long-term demand-driven capacity planning policies in the reverse channel of
closed-loop supply chains (CLSCs) with remanufacturing, under high capacity acquisition …

Consider a firm that markets multiple products, each manufactured using several resources
representing various types of capital and labor, and a linear production technology. The firm …