We study a variant of the stochastic economic lot scheduling problem (SELSP) in which a single production facility must produce several different grades of a family of products to meet random stationary demand for each grade from a common finished-goods (FG) inventory buffer with limited storage capacity. Demand that can not be satisfied directly from inventory is lost. Raw material is always a...

this paper aims to evaluate inventory cost of a two-echelon serial supply chain system under vendor managed inventory program with stochastic demand, and examine the effect of environmental factors on the cost of overall system. for this purpose, we consider a two-echelon serial supply chain with a manufacturer and a retailer. under vendor managed inventory program, the decision on inventory le...

Economic production quantity (EPQ) inventory model for trended demand has been analyzed with rework facility and stochastic preventive machine time. Due to the complexity of the model, search method is proposed to determine the best optimal solution. A numerical example and sensitivity analysis are carried out to validate the proposed model. From the sensitivity analysis, it is observed that th...

Inventory control is one of the most important issues in supply chain management. In this paper, a three-echelon production, distribution, inventory system composed of one producer, a set of wholesalers and retailers is considered. Costumers' demands can be approximated by a normal distribution and the inventory policy is a kind of continuous review (R, Q). In this paper, a model based on stand...

We present a novel technique to solve multiserver retrial systems with impatience. Unfortunately these systems do not present an exact analytic solution, so it is mandatory to resort to approximate techniques. This novel technique does not rely on the numerical solution of the steady-state Kolmogorov equations of the Continuous Time Markov Chain as it is common for this kind of systems but it c...

In this paper, a manufacturing system composed by a single machine, a buffer and a stochastic demand is considered. Two models are presented: continuous and discrete flow models with delivery times, machine failures and random demands. The objective is to determine the value of the optimal buffer level, for a hedging point policy to minimize the cost function. This cost function is the sum of i...

Configuring a supply chain for new products involves selecting how to source each stage in the supply chain given several alternatives that vary in cost, lead time, and other measures. One must also determine the best overall strategy for deploying safety stocks across the supply chain so as to buffer against demand uncertainty. Traditionally, this has been done based on costs (inventory cost, ...