We consider a system that faces stochastic demand, reviews the system periodically and places replenishment orders to raise the inventory position to exactly S at the beginning of every period. The lead time associated with each of these orders is random. However the lead time process is such that these orders are ful lled in a rst-in rst-out sequence. Demand that can not be met with inventory ...

The problem of allocation of orders for parts among part suppliers in a customer driven supply chain with operational risk is formulated as a stochastic singleor bi-objective mixed integer program. Given a set of customer orders for products, the decision maker needs to decide fromwhich supplier to purchase parts required for each customer order to minimize total cost and to mitigate the impact...

Interaction of capital market participants is a complicated dynamic process. A stochastic model is proposed to describe the dynamics to predict short-term stock price behaviors. Independent compound Poisson processes are introduced to describe the occurrences of market orders, limit orders, and cancellations of limit orders, respectively. Based on high-frequency observations of the limit order ...

Same-day delivery of online orders is becoming an indispensable service for large retailers. We explore an environment in which in-store customers supplement company drivers and can take on the task of delivering online orders on their way home. Because online orders as well as in-store customers willing to make deliveries arrive throughout the day, it is a highly dynamic and stochastic environ...

background: low compliance with drugs regimens in diabetic patients is one of the greatest challenges in the treatment of diabetes. the aim of this study was to evaluate compliance with medical orders in diabetic patients referred to the endocrinology clinic of afzalipour hospital, kerman, iran. methods: in this cross sectional study 345 of the 3000 patients, who referred to the endocrinology c...

Stochastic economic dispatch models address uncertainties in forecasts of renewable generation output by considering a finite number of realizations drawn from a stochastic process model, typically via Monte Carlo sampling. Accurate evaluations of expectations or higher-order moments for quantities of interest, e.g., generating cost, can require a prohibitively large number of samples. We propo...

We analyze the effects of noise on the traveling wave dynamics in neural fields. The noise influences the dynamics on two scales: first, it causes fluctuations in the wave profile, and second, it causes a random shift in the phase of the wave. We formulate the problem in a weighted L-space, allowing us to separate the two spatial scales. By tracking the stochastic solution with a reference wave...