We consider a single-period inventory problem with random demand with both directly
observable and unobservable features that impact the demand distribution. With the recent …

We consider the problem of a retailer that is served by multiple suppliers, where any given
supplier, who leads to random yield in orders, is defined to be unreliable. We examine how …

This article presents a dynamic programming-based particle swarm optimization (DP-based
PSO) algorithm for solving an inventory management problem for large-scale construction …

We consider a discrete‐time infinite‐horizon inventory system with non‐stationary demand,
full backlogging, and deterministic replenishment lead time. Demand arrives according to a …

In this paper we study a single stage, periodic-review inventory problem for a single item
with stochastic demand. The inventory manager determines order sizes according to an …

As increasingly more shop-floor data becomes available, the performance of a production
system can be improved by developing effective data-driven control methods that utilize this …

Controlling production and release of material into a manufacturing system effectively can
lower work-in-progress inventory and cycle time while ensuring the desired throughput. With …

We present a method of incorporating limiting distribution information in the Baum–Welch
algorithm for estimating parameters of discrete-time, finite-state, Hidden Markov Models. We …

Since Richard Bellman introduced the concept of dynamic programming in the 1940s to
describe the process of solving problems where it was necessary to find the best decisions …

Hospital inventory management is critical in the healthcare industry in maintaining service
levels while reducing operational costs. In dealing with such a problem, the dynamics of …