Centralized replenishment policy for deteriorating items in a three echelon supply chain under stochastic lead time

2012 ◽  
Vol 45 (6) ◽  
pp. 493-498 ◽  
Author(s):  
Z. SAZVAR ◽  
M. AKBARI JOKAR ◽  
A. BABOLI ◽  
J.P. CAMPAGNE
2006 ◽  
Vol 173 (2) ◽  
pp. 617-636 ◽  
Author(s):  
Jeon G. Kim ◽  
Dean Chatfield ◽  
Terry P. Harrison ◽  
Jack C. Hayya

2011 ◽  
Vol 2 (2) ◽  
pp. 78-94 ◽  
Author(s):  
Gour Chandra Mahata ◽  
Puspita Mahata

This paper investigates the economic order quantity inventory model for a retailer under two levels of trade credit to reflect the supply chain management situation. It is assumed that the retailer maintains a powerful position and can obtain full trade credit offered by supplier, yet the retailer just offers the partial trade credit to customers. Under these conditions, the retailer can obtain the most benefits. This study also investigates the retailer’s inventory policy for deteriorating items in a supply chain management situation as a cost minimization problem. The present study shows that the annual total variable cost for the retailer is convex, that is, a unique solution exists. Mathematical theorems and algorithms are developed to efficiently determine the optimal inventory policy for the retailer. The results in this paper generalize some already published results. Finally, numerical examples are given to illustrate the theorems and obtain managerial phenomena.


2021 ◽  
Author(s):  
Sepehr Habibollahi

This report examines the supply chain strategies for a specific perishable product, or fresh produce and uses green beans as an example. The quality of the products which are in direct correlation with the value of the product are put into the supply chain model, this type of model is also known as “cold chain”. This report in addition to recent researches in cold chain, looks into multi aspect quality degradation and a stochastic lead time from warehouse to retailer. This model developed creates greater insight into the supply chain strategies of such products.


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