Fuzzy inventory model with warehouse limits and carbon emission
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.3.11Keywords:
Carbon Emission, Economic order quantity, Trapezoidal method, Yager Ranking methodDimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The theory of optimization deals with some techniques to find optimal solutions for a given mathematical problem. This paper examines the use of the Yager ranking method to minimize the total cost in an EOQ. The assortment of goods and different costs with demand must be balanced for an inventory management system to operate without any issues. The sustainable approach takes carbon emissions to be considered with constraints on warehousing capacity. The order lot quantity is not allowed to exceed the capacity limit available warehouse. The parameters are fuzzified by using a trapezoidal fuzzy number. The Yager ranking method is used to find the total cost. Finally numerical example is carried out.Abstract
How to Cite
Downloads
Similar Articles
- Raja Selvaraj, Manikandasaran S. Sundari, EAM: Enhanced authentication method to ensure the authenticity and integrity of the data in VM migration to the cloud environment , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Vaibhav, Raj K Tiwari, Low power three-stage OTA using reverse nested frequency compensation without nulling resistor , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Gunjan Choudhary, Anupriya Roy Srivastava, Examining identity crisis in Samina Ali’s Madras on Rainy Days , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Himadri Nalinkumar Raval, Effective strategies in English language teaching: Enhancing writing proficiency among learners , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- S. Babiyana, V. Balachandran, Density Functional Theory calculations, Spectroscopic study, Reduced Density Gradient and molecular docking of 2-[3-(4-chlorophenyl)-5-(4-(propane-2-yl) phenyl-4, 5-dihydro-1H pyrozol-1-yl]-4-(nitrophenyl)-1, 3-thiazole , The Scientific Temper: Vol. 17 No. 03 (2026): The Scientific Temper
- R. Chandra, R. P. Singh, B. K. Prasad, Effect of Genotype and Explant on Shoot Regeneration in Brassica juncea , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper
- Ahmed Mustefa, Ethiopian Voluntary Resettlement Programme-Lesson to Learn , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Deepa S, Sripriya T, Radhika M, Jeneetha J. J, Experimental evaluation of artificial intelligence assisted heart disease prediction using deep learning principle , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Ratnakaram Raghavendra, Saila K. A. Reddy, Exploring cosmic ray energy loss mechanisms: Insights from Bethe-Bloch, modified bethe-bloch, and inverse compton scattering equations , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- P. Rajkumar, B. Vijay Bhaskar, Assessing the impact of indoor air pollution on respiratory health: A survey of home residents in rural area , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 25 26 27 28 29 30 31 32 33 34 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Shiny Bridgette I, Rexlin Jeyakumari S, An optimal fuzzy inventory model for rice farming using lagrangean method , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
