Environmental, social and economic concerns motivate the operation of closed-loop supply
chain networks (CLSCN) in many industries. We propose a novel profit maximization model …

This paper is the first of a two-part paper presenting a multiperiod generalized network flow
model of the integrated energy system in the United States. Part I describes the modeling …

Many retail product returns can be refurbished and resold, typically at a reduced price. The
price set for the refurbished products affects the demands for both new and refurbished …

The geometric Brownian motion (GBM) process is frequently invoked as a model for such
diverse quantities as stock prices, natural resource prices and the growth in demand for …

We present a method for computing lower bounds in the progressive hedging algorithm (PHA)
for two-stage and multi-stage stochastic mixed-integer programs. Computing lower …

We optimize the design of a closed-loop supply chain network that encompasses flows in
both forward and reverse directions and is subject to uncertainty in demands for both new and …

A challenging aspect of applying stochastic programming in a dynamic setting is to construct
a set of discrete scenarios that well represents multivariate stochastic processes for …

This paper proposes a novel method to co-optimize the distribution system operation and
repair crew routing for outage restoration after extreme weather events. A two-stage stochastic …

We develop a tri-level model of transmission and generation expansion planning in a
deregulated power market environment. Due to long planning/construction lead times and …

We formulate a generation expansion planning problem to determine the type and quantity
of power plants to be constructed over each year of an extended planning horizon, …