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Inventory Control with Fuzzy Inflation and Volume Flexibility under Random Planning Horizon

by Urvashi, S. R. Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 76 - Number 11
Year of Publication: 2013
Authors: Urvashi, S. R. Singh
10.5120/13289-0712

Urvashi, S. R. Singh . Inventory Control with Fuzzy Inflation and Volume Flexibility under Random Planning Horizon. International Journal of Computer Applications. 76, 11 ( August 2013), 8-17. DOI=10.5120/13289-0712

@article{ 10.5120/13289-0712,
author = { Urvashi, S. R. Singh },
title = { Inventory Control with Fuzzy Inflation and Volume Flexibility under Random Planning Horizon },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 76 },
number = { 11 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 8-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume76/number11/13289-0712/ },
doi = { 10.5120/13289-0712 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:45:37.075676+05:30
%A Urvashi
%A S. R. Singh
%T Inventory Control with Fuzzy Inflation and Volume Flexibility under Random Planning Horizon
%J International Journal of Computer Applications
%@ 0975-8887
%V 76
%N 11
%P 8-17
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The objective of this paper is to develop an inventory model with fuzzy inflation and multi variant demand rate. A new demand rate introduced which depends on price, quality and time. Planning horizon is random in nature for manufacturing company. Production rate is taken to be flexible in nature which depends on the technology frequency, capital investment and its elasticity and number of labour. Model is developed for both crisp and fuzzy environment. Numerical example is cited to illustrate the results and its significant features. Finally, to study the effect of changes of quality, inflation and planning horizon sensitivity analysis is carried out.

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Index Terms

Computer Science
Information Sciences

Keywords

Random planning horizon fuzzy inflation Time discounting Volume flexible environment price and time dependent demand rate

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