An Inventory Model of Deteriorating Items with Price Reduction Sale and Customers Waiting Time

Author(s):  
Bo Huang ◽  
Xiaojun Liu ◽  
Zhang Tao
Author(s):  
Vikas Kumar

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


2007 ◽  
Vol 59 (3-4) ◽  
pp. 239-252
Author(s):  
Manisha Pal ◽  
Sanjoy Kumar Ghosh

Abstract: In many inventory situations, instead of making immediate payment on receiving the consigument, the purchaser is allowed a certain fixed time period to pay for the goods bought. During this time the supplier charges no interest, but beyond this period interest is charged under the terms and condition agreed upon. As for the purchaser, he can earn interest on the revenue coolected during the credit period. This paper studies a single item inventory model for deteriorating items, when the permissible delay in payment depends on the ordered quantity and shortages are partially backlogged, assuming the backlogging rate to be inversely proportional to the waiting time for the next replenishment. An algorithm has been developed to find the optimal inventory policy. Numerical examples have been cited to illustrate the model. AMS (2000) Subject Classification: 90B05.


2005 ◽  
Vol 15 (2) ◽  
pp. 277-288 ◽  
Author(s):  
Liang-Yuh Ouyang ◽  
Kun-Shan Wu ◽  
Mei-Chuan Cheng

This study proposes an EOQ inventory mathematical model for deteriorating items with exponentially decreasing demand. In the model, the shortages are allowed and partially backordered. The backlogging rate is variable and dependent on the waiting time for the next replenishment. Further, we show that the minimized objective cost function is jointly convex and derive the optimal solution. A numerical example is presented to illustrate the model and the sensitivity analysis is also studied.


2015 ◽  
Vol 4 (1) ◽  
pp. 29-36
Author(s):  
N Mishra ◽  
SP Mishra ◽  
Srichandan Mishra ◽  
J Panda ◽  
UK Misra

2020 ◽  
Vol 9 (9) ◽  
pp. 7501-7514
Author(s):  
V. Kumar ◽  
A. Sharma ◽  
A. Kumar ◽  
C. B. Gupta

2000 ◽  
Vol 18 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Lakhdar Aggoun ◽  
Lakdere Benkherouf ◽  
Lotfi Tadj

2010 ◽  
Vol 7 (4) ◽  
pp. 530 ◽  
Author(s):  
Chandra K. Jaggi ◽  
K.K. Aggarwal ◽  
Priyanka Verma

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