Plants, distribution centers, and other facilities generally function for years or decades,
during which time the environment in which they operate may change substantially. Costs …

Over the past two decades, there has been explosive growth in the application of robust
optimization in operations management (robust OM), fueled by both significant advances in …

Min–max and min–max regret criteria are commonly used to define robust solutions. After
motivating the use of these criteria, we present general results. Then, we survey complexity …

Comprehensively teaches the fundamentals of supply chain theory This book presents the
methodology and foundations of supply chain management and also demonstrates how …

In this chapter we outline the importance of facility location decisions in supply chain design.
We begin with a review of classical models including the traditional fixed charge facility …

In this paper, we present a stochastic version of the location model with risk pooling (LMRP)
that optimizes location, inventory, and allocation decisions under random parameters …

In this research, we apply robust optimization (RO) to the problem of locating facilities in a
network facing uncertain demand over multiple periods. We consider a multi‐period fixed …

The two most widely considered measures for optimization under uncertainty are minimizing
expected cost and minimizing worst-case cost or regret. In this paper, we present a novel …

We propose a general approach for finding minmax regret solutions for a class of
combinatorial optimization problems with an objective function of minimax type and …

We study the problem of assigning doctors to existing, non-operational Primary Health
Centers (PHCs). We do this in the presence of clear guidelines on the maximum population …