Optimization of the average monthly cost of an EOQ inventory model for deteriorating items in machine learning using PYTHON-Reference-Cited by-同舟云学术

Optimization of the average monthly cost of an EOQ inventory model for deteriorating items in machine learning using PYTHON

Published:2021 Issue:Spec. issue 2 Volume:25 Page:347-358
ISSN:0354-9836
Container-title:Thermal Science
language:en
Short-container-title:THERM SCI

Author:

Kalaiarasi K.¹,Soundaria R.²,Kausar Nasreen³,Agarwal Praveen⁴,Aydi Hassen⁵,Alsamir Habes⁶

Affiliation:

1. PG and Research Department of Mathematics, Cauvery College For Women (Autonomous), Affilated to Bharathidasan University, Tiruchirappalli, Tamil Nadu, India + Department of Mathematics, Srinivas University, Suranthkal, Mangalore, Karnataka, India

2. PG and Research Department of Mathematics, Cauvery College For Women (Autonomous), Affilated to Bharathidasan University, Tiruchirappalli, Tamil Nadu, India

3. Department of Mathematics, Faculty of Arts and Science, Yildiz Technical University, Esenler, Istanbul, Turkey

4. Department of Mathematics, Anand International College of Engineering, Jaipur, Rajasthan, India

5. Institut Superieur d’Informatique et des Techniques de Communication, Universite de Sousse, H. Sousse, Tunisia + Department of Mathematics and Applied Mathematics, Sefako Makgatho Health Sciences University, Ga-Rankuwa, South Africa + China Medical University Hospital, China Medical University, Taichung, Taiwan

6. College of Business Administration-Finance Department, Dar Al Uloom University, Al Falah, Riyadh, Saudi Arabia

Abstract

In many stock disintegration issues of the real world, the decay pace of certain things might be influenced by other contiguous things. Depending on the situation, the influence of weakened items can be reduced by eliminating them through examination. We specify a model that impacts the average monthly cost, and the non-linear programming Lagrangian method is solved the specified model. The fuzzify inventory model is used to determine the lowest cost by employing a trapezoidal fuzzy number, and the defuzzification process is performed using the graded mean integration representation method. To test the model, we created a CSV file, used PYTHON (version 3.8.5), we developed a program to predict the economic order quantity and total cost.

Publisher

National Library of Serbia

Subject

Renewable Energy, Sustainability and the Environment

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