جستجوی مقالات مرتبط با کلیدواژه « Deteriorating Item » در نشریات گروه « صنایع »

Todays, improving the competitiveness of companies and rapidly respond to diverse customer demands require efficient management of the supply chain. One of the effective indices in supply chain is integration and one of the innovative approaches in this field is Vendor Managed Inventory. In this paper, an integrated model based on vendor managed inventory system for deterioration and amelioration items in a three-level supply chain is developed. To coordinate retailers and producers in the supply chain the common replenishment cycle is used that is a technique of VMI system. The assumptions of this model consist of deterministic demand rate for each retailer, certain production and deterioration rates. Furthermore, in this paper the amelioration of items is mentioned that follow the Weibull distribution. First, the mixed integer non linear mathematical model is presented. Second, to validate the proposed model, a numerical example is given. To solve the model, genetic algorithm method is presented.

In classic inventory control system، purchasing cost must be paid when purchased items are received. Furthermore، in the mentioned models، items may have infinite lifetime، while in the real world، we have some items deteriorate over the time. Also، in order to increase the sales، the suppliers may allow the retailers to pay the purchasing cost some times after receiving the ordered products. Moreover، in the real life cases، the supplier may visit the retailer and send the ordered quantity at random time and the retailer faces to stochastic lead time; then، in this case، the retailer may face to shortage. In this paper، we will extend the periodic inventory control model under delay in payment، stochastic visit interval and partial backordering for a deteriorating item. Under general probability distribution function between replenishment epochs، we show the concavity of the expected profit function and give the condition that must hold for the optimal replenish-up-to-level in order to maximize the profit. In order to show the applicability of the proposed model، the numerical examples and sensitivity analysis are provided.

In this paper a joint Inventory and pricing model is developed for a deteriorating item in a two echelon supply chain with one manufacturer and one retailer. It is assumed that the rate of demand is a deterministic linear function of selling price and exponential function of time. The manufacturer produces an integer multiple of the retailer’s order quantity, called n, and sends the orders in n shipments. The model has been developed in both integrated and non integrated forms in order to find the optimal inventory management and pricing policies which maximizes the supply chain profit. The solution algorithms are also developed for both cases. A numerical example is provided to prove the efficiency of the model and solution algorithms, which shows that the supply chain profit is much higher when the integration of the members is applied.

Determining the optimal selling price and inventory control policy for deteriorating items is one of the important issues in academic and industrial researches. In this paper, a joint pricing and inventory control model for deteriorating items is considered. The demand rate is known, continuous and functions of price and time. Shortages are allowed and partially backlogged, where the backlogging rate is variable and dependent on the waiting time for the next replenishment. The objective is to determine the optimal selling price, the length of time in which there is no inventory shortage, replenishment cycle time, and order quantity such that the total profit per unit time has a maximum value. For any given selling price, we first show that the optimal replenishment exist and unique. Next, we prove that the total profit is a concave function of price when the replenishment schedule is given. Then, a simple algorithm is developed to find the optimal solution. Finally, we use a numerical example to illustrate the model and the algorithm.