Two-warehouse inventory model for non-instantaneous deteriorating items with stock dependent demand, partial backlogging and inflation over a finite time horizon

2016 ◽  
Vol 25 (2) ◽  
pp. 206
Author(s):  
M. Palanivel ◽  
R. Uthayakumar
Keyword(s):  
Finite Time ◽  
Time Horizon ◽  
Inventory Model ◽  
Deteriorating Items ◽  
Partial Backlogging ◽  
Stock Dependent Demand ◽  
Finite Time Horizon ◽  
Dependent Demand

scholarly journals An Inventory Model for Deteriorating Items with Stock Dependent Demand and Partial Backlogging

2021 ◽  
Vol 9 (12) ◽  
pp. 296-302
Author(s):  
Vikas Kumar
Keyword(s):  
Waiting Time ◽  
Simple Algorithm ◽  
Inventory Model ◽  
Deteriorating Items ◽  
Partial Backlogging ◽  
Numerical Examples ◽  
Proposed Model ◽  
Stock Dependent Demand ◽  
Total Profit ◽  
Dependent Demand

Abstract: In this paper, we formulate a deteriorating inventory model with stock-dependent demand Moreover, it is assumed that the shortages are allowed and partially backlogged, depending on the length of the waiting time for the next replenishment. The objective is to find the optimal replenishment to maximizing the total profit per unit time. We then provide a simple algorithm to find the optimal replenishment schedule for the proposed model. Finally, we use some numerical examples to illustrate the model. Keywords- Inventory, Deteriorating items, Stock dependent demand, Partial backlogging

scholarly journals Multi-item fuzzy inventory model for deteriorating items with finite time-horizon and time-dependent demand

2006 ◽  
Vol 16 (2) ◽  
pp. 161-176 ◽  
Author(s):  
S. Kar ◽  
T.K. Roy ◽  
M. Maiti
Keyword(s):  
Finite Time ◽  
Time Horizon ◽  
Inventory Model ◽  
Investment Cost ◽  
Different Types ◽  
Total Investment ◽  
Total Profit ◽  
Finite Time Horizon ◽  
Fuzzy Inventory ◽  
Dependent Demand

This paper develops a finite time-horizon fuzzy multi-deteriorating inventory model with/without shortage, where the demand increases linearly with time. Here, the total profit is to be maximized under the limitation on investment. In this problem, total profit, total investment cost and the time-horizon are fuzzy in nature. The impreciseness in the above objective and constraint goals have been expressed by fuzzy linear/nonlinear membership functions and vagueness in time-horizon by different types of fuzzy numbers. Results are illustrated with numerical examples.

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