International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

2021, Vol. 6, Issue 2, Part A

Partially backlogging inventory model for perishable items with reliability and price varying demand


Author(s): Sushil Kumar

Abstract: Reliability is an important factor of any inventory system for attracting the customers towards its products. Mostly highly reliable products are preferred by the customers in the real/super market. Assuming, reliability any business organization can reduce their total cost or total profit. The proposed paper deals partially backlogging inventory model for perishable items with reliability and price varying demand. The shortages are partially backlogged. The unsatisfied demand is backlogged and governed by a function of waiting time. The objective of the study is to optimizing the total cost and selling price during a given period of time. The validity of the proposed model is shown by a numerical example along with the behavior of key parameters.

DOI: 10.22271/maths.2021.v6.i2a.714

Pages: 72-80 | Views: 54 | Downloads: 0

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How to cite this article:
Sushil Kumar. Partially backlogging inventory model for perishable items with reliability and price varying demand. Int J Stat Appl Math 2021;6(2):72-80. DOI: 10.22271/maths.2021.v6.i2a.714
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