Facing the demand of periodic pattern and expiration date, how to make an optimal ordering policy by the retailer of fast deteriorating items is the key problem nowadays. In this study, we propose a model for fast deteriorating items with periodic pattern demand and expiration date. An algorithm is presented to derive an optimal replenishment cycle, shortage period and order quantity such that the unit time profit is maximized. The coordination policy between the retailer and the supplier improves the efficiency of the ordering policy especially when the deterioration rate is high. Numerical examples and sensitivity analysis are provided to illustrate the theory
[[abstract]]In this study, we consider a problem of determining the optimal replenishment policy for...
In this paper, a deterministic inventory control model with deterioration is developed. Here, the de...
The paper studies a periodic review inventory model with no shortages and different demand rates dur...
In this chapter shortage is allowed, lead-time is considered and seasonal pattern demand is taken in...
Abstract:- In this paper we have discussed optimal ordering policy for inventory model with non-inst...
In this paper, we investigated an inventory model for deteriorating items with a ramp-type demand un...
Abstract. This paper deals with an inventory model to determine the optimal ordering quantity and op...
This paper deals with a deterministic inventory model for deteriorating items under the condition of...
This paper develops an economic ordering policy model for non-instantaneous deteriorating items with...
An inventory system for non-instantaneous deteriorating items with price-dependent demand is formula...
Abstract In this paper, an economic order quantity (EOQ) inventory model for a deteriorating item is...
AbstractIn this paper, Economic Order Quantity (EOQ) based model for non-instantaneous deteriorating...
Although numerous researchers have developed different inventory models for deteriorating items, ver...
The retail inventory management literature generally assumes that suppliers seek to stimulate demand...
99學年度吳坤山研究獎補助論文[[abstract]]This article will formulate and solve an inventory system with non-instan...
[[abstract]]In this study, we consider a problem of determining the optimal replenishment policy for...
In this paper, a deterministic inventory control model with deterioration is developed. Here, the de...
The paper studies a periodic review inventory model with no shortages and different demand rates dur...
In this chapter shortage is allowed, lead-time is considered and seasonal pattern demand is taken in...
Abstract:- In this paper we have discussed optimal ordering policy for inventory model with non-inst...
In this paper, we investigated an inventory model for deteriorating items with a ramp-type demand un...
Abstract. This paper deals with an inventory model to determine the optimal ordering quantity and op...
This paper deals with a deterministic inventory model for deteriorating items under the condition of...
This paper develops an economic ordering policy model for non-instantaneous deteriorating items with...
An inventory system for non-instantaneous deteriorating items with price-dependent demand is formula...
Abstract In this paper, an economic order quantity (EOQ) inventory model for a deteriorating item is...
AbstractIn this paper, Economic Order Quantity (EOQ) based model for non-instantaneous deteriorating...
Although numerous researchers have developed different inventory models for deteriorating items, ver...
The retail inventory management literature generally assumes that suppliers seek to stimulate demand...
99學年度吳坤山研究獎補助論文[[abstract]]This article will formulate and solve an inventory system with non-instan...
[[abstract]]In this study, we consider a problem of determining the optimal replenishment policy for...
In this paper, a deterministic inventory control model with deterioration is developed. Here, the de...
The paper studies a periodic review inventory model with no shortages and different demand rates dur...