in any supply chain, distribution planning of products is of great importance to managers. with effective and flexible distribution planning, mangers can increase the efficiency of time, place, and delivery utility of whole supply chain. in this paper, inventory routing problem (irp) is applied to distribution planning of perishable products in a supply chain. the studied supply chain is compos...

a new mathematical model for the optimal production isformulated for the inventory management system under time-varyingand stochastic inflation environment for deteriorating items. the timehorizon is finite and demand rate is dependent to the inflation. in thereal situation, some but not all customers will wait for backlogged itemsduring a shortage period, such as for fashionable commodities or...

generally ordering policies are done by two methods, including fix order quantity (foq) and fix order period (fop). these methods are static and either the quantity of ordering or the procedure of ordering is fixing in throughout time horizon. in real environments, demand is varying in any period and may be considered as uncertainty. when demand is variable in any period, the traditional and st...

in this study, we considered an inflationary inventory control model under non-deterministic conditions. we assumed the inflation rate as a normal distribution, with any arbitrary probability density function (pdf). the objective function was to minimize the total discount cost of the inventory system. we used two methods to solve this problem. one was the classic numerical approach which turne...

We consider a single-echelon, single-item inventory system where both demand and lead-time are stochastic. Continuous review policy is used to control the inventory system. The objective is to calculate the reorder point level under stochastic parameters. A case study is presented in Neonatal Intensive Care Unit. Keywords—Inventory control system, reorder point level, stochastic demand, stochas...

This paper formulates a stochastic inventory model for a single-period seasonal or fashion product inventory system consisting of multiple stocking echelons in series and retailers. By transforming model, an equivalent two-stage stochastic linear program model is developed to solve this stochastic inventory problem, which makes the inventory problem easier to analyze. The optimal placement poli...

We address the inventory planning problem in process networks under uncertainty through stochastic programming models. The scope of inventory planning requires the formulation of multiperiod models to represent the time-varying conditions of industrial process, but the multistage stochastic programming formulations are often too large to solve. We propose a policy-based approximation of the mul...

In most stochastic inventory models, such as continuous review models and periodic review models, it has been assumed that the stockout period during a cycle is small enough to be neglected so that the average number of cycles per year can be approximated as D/Q, where D is the average annual demand and Q is the order quantity. This assumption makes the problem more tactable, but it should not ...

In most stochastic inventory models, such as continuous review models and periodic review models, it has been assumed that the stockout period during a cycle is small enough to be neglected so that the average number of cycles per year can be approximated as D/Q, where D is the average annual demand and Q is the order quantity. This assumption makes the problem more tactable, but it should not ...