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Optimal Policy for Non-Instantaneous Decaying Inventory Model with Learning Effect and Partial Shortages

by Anchal Agarwal, Isha Sangal, S. R. Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 161 - Number 10
Year of Publication: 2017
Authors: Anchal Agarwal, Isha Sangal, S. R. Singh
10.5120/ijca2017913318

Anchal Agarwal, Isha Sangal, S. R. Singh . Optimal Policy for Non-Instantaneous Decaying Inventory Model with Learning Effect and Partial Shortages. International Journal of Computer Applications. 161, 10 ( Mar 2017), 13-18. DOI=10.5120/ijca2017913318

@article{ 10.5120/ijca2017913318,
author = { Anchal Agarwal, Isha Sangal, S. R. Singh },
title = { Optimal Policy for Non-Instantaneous Decaying Inventory Model with Learning Effect and Partial Shortages },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 161 },
number = { 10 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 13-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume161/number10/27183-2017913318/ },
doi = { 10.5120/ijca2017913318 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:07:04.675953+05:30
%A Anchal Agarwal
%A Isha Sangal
%A S. R. Singh
%T Optimal Policy for Non-Instantaneous Decaying Inventory Model with Learning Effect and Partial Shortages
%J International Journal of Computer Applications
%@ 0975-8887
%V 161
%N 10
%P 13-18
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Deterioration of goods and learning is a realistic phenomenon in daily life. Therefore maintaining the stock of decaying items becomes an important factor for decision makers. In this study deterioration rate follows the Weibull distribution and holding cost is gradually decreases, therefore learning effect is incorporated on holding cost. Many researchers generally assumed that the shortages are either completely backlogged or lost. But in this paper shortage is allowed and partial backlogged. The backlogging rate is taken as exponential function of time. Numerical examples are provided to further illustrate the model. Sensitivity analysis has been carried out to analyze the impact of change in various parameters. The aim of this model is to minimize the total cost.

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Index Terms

Computer Science
Information Sciences

Keywords

Inventory Non-instantaneous deterioration Time dependent demand rate Learning Partial backlogging

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