Abstract: This paper proposes an improvement in the form of modeling the demand in models of stochastic inventories. For these purposes, it is proposed to occupy the Kernel estimation method to the demand per unit of time and demand during the lead time to generate input scenarios for a stochastic programming in two-stage, in a model of continuous review with shortage. An application of this me...

Consider a multiple booking class airline-seat inventory control problem that relates to either a single flight leg or to multiple flight legs. During the time before the flight, the airline may face the problems of (1) what are the suitable prices for the opened booking classes, and (2) when to close those opened booking classes. This work deals with these two problems by only using the pricin...

This paper discusses the issue of order crossover and its effects in order point, lot size (s, Q) inventory systems. Orders are likely to cross when their lead times are stochastic. Two inventory systems are considered to examine the consequences of order crossover. The first inventory system considers a fast moving item having deterministic demand and stochastic lead time. It is assumed lead t...

Manufacturing and service systems typically have random components affecting their behavior such as the demand for products and services. Much of the focus will be given on understanding and applying quantitative methods that are useful in analyzing, designing, and operating stochastic systems. We will additionally present applications of these methods for understanding, managing and reducing v...

a r t i c l e i n f o Keywords: Stochastic dynamic programming Risk-reward heuristic Mean–variance analysis Efficient frontier analysis Inventory management Traditionally inventory management models have focused on risk-neutral decision making with the objective of maximizing the expected rewards or minimizing costs over a specified time horizon. However, for items marked by high demand volatil...

in this study, a new stochastic model is proposed to deal with a multi-product, multi-period, multi-stage, multi-site production and transportation supply chain planning problem under demand uncertainty. a two-stage stochastic linear programming approach is used to maximize the expected profit. decisions such as the production amount, the inventory level of finished and semi-finished product, t...

semilinear stochastic evolution equations with multiplicative l'evy noise are considered‎. ‎the drift term is assumed to be monotone nonlinear and with linear growth‎. ‎unlike other similar works‎, ‎we do not impose coercivity conditions on coefficients‎. ‎we establish the continuous dependence of the mild solution with respect to initial conditions and also on coefficients. ‎as corollaries of ...

in classic inventory control system, we assume that purchasing cost should be paid at time of delivery. but sometimes in order to encourage retailer to increase his order, postpond payment is provided by supplier as an incentive policy for retailer. in this paper a periodic inventory control model is invetigated in which the period between two consecutive replenishmnet is a random variable. in ...