Fuzzy Inventory Model for Imperfect Items with Price Discount and Penalty Maintenance Cost

Te present paper considers the fuzzy economic manufacturing model (FEMM) for an inventory model with an imperfect production process that has been studied along with rework. During the pandemic, it is evident that the products accumulated without a sale, which has increased the maintenance cost of t...

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Main Authors: V. Kuppulakshmi, V. Kuppulakshmi, C. Sugapriya, C. Sugapriya, J. Kavikumar, J. Kavikumar, D. Nagarajan, D. Nagarajan
Format: Article
Language:en
Published: Hindawi 2023
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Online Access:http://eprints.uthm.edu.my/9012/1/J15668_b858e583962b6860d63805bedbdb4d88.pdf
http://eprints.uthm.edu.my/9012/
https://doi.org/10.1155/2023/1246257
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author V. Kuppulakshmi, V. Kuppulakshmi
C. Sugapriya, C. Sugapriya
J. Kavikumar, J. Kavikumar
D. Nagarajan, D. Nagarajan
author_facet V. Kuppulakshmi, V. Kuppulakshmi
C. Sugapriya, C. Sugapriya
J. Kavikumar, J. Kavikumar
D. Nagarajan, D. Nagarajan
author_sort V. Kuppulakshmi, V. Kuppulakshmi
building UTHM Library
collection Institutional Repository
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
continent Asia
country Malaysia
description Te present paper considers the fuzzy economic manufacturing model (FEMM) for an inventory model with an imperfect production process that has been studied along with rework. During the pandemic, it is evident that the products accumulated without a sale, which has increased the maintenance cost of the products. Tis research paper compares a special sale of products with discount and without discount prices both in the fuzzy environment and in the crisp case. New computing methods based on fuzzy logic are being utilized to enhance identifcation, decision making, and optimization. A triangular fuzzy number is applied in the economic production quantity to emphasize the importance of optimal manufacturing. Te EPQ model’s optimal total cost is obtained in the crisp version. It is to be noted that this model is developed in the fuzzy sense by using the deterioration as a triangular fuzzy number. Te applications of this model in the felds are constructing customized industrial machinery or heavyduty construction equipment, specifc chemicals, and processed food. By using MATLAB R2021, a numerical example of the optimal solution is provided. Finally, the present research discusses how changing several parameters afects the optimum total cost.
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spelling my.uthm.eprints-90122023-06-20T03:22:03Z http://eprints.uthm.edu.my/9012/ Fuzzy Inventory Model for Imperfect Items with Price Discount and Penalty Maintenance Cost V. Kuppulakshmi, V. Kuppulakshmi C. Sugapriya, C. Sugapriya J. Kavikumar, J. Kavikumar D. Nagarajan, D. Nagarajan QA299.6-433 Analysis Te present paper considers the fuzzy economic manufacturing model (FEMM) for an inventory model with an imperfect production process that has been studied along with rework. During the pandemic, it is evident that the products accumulated without a sale, which has increased the maintenance cost of the products. Tis research paper compares a special sale of products with discount and without discount prices both in the fuzzy environment and in the crisp case. New computing methods based on fuzzy logic are being utilized to enhance identifcation, decision making, and optimization. A triangular fuzzy number is applied in the economic production quantity to emphasize the importance of optimal manufacturing. Te EPQ model’s optimal total cost is obtained in the crisp version. It is to be noted that this model is developed in the fuzzy sense by using the deterioration as a triangular fuzzy number. Te applications of this model in the felds are constructing customized industrial machinery or heavyduty construction equipment, specifc chemicals, and processed food. By using MATLAB R2021, a numerical example of the optimal solution is provided. Finally, the present research discusses how changing several parameters afects the optimum total cost. Hindawi 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/9012/1/J15668_b858e583962b6860d63805bedbdb4d88.pdf V. Kuppulakshmi, V. Kuppulakshmi and C. Sugapriya, C. Sugapriya and J. Kavikumar, J. Kavikumar and D. Nagarajan, D. Nagarajan (2023) Fuzzy Inventory Model for Imperfect Items with Price Discount and Penalty Maintenance Cost. Mathematical Problems in Engineering. pp. 1-15. https://doi.org/10.1155/2023/1246257
spellingShingle QA299.6-433 Analysis
V. Kuppulakshmi, V. Kuppulakshmi
C. Sugapriya, C. Sugapriya
J. Kavikumar, J. Kavikumar
D. Nagarajan, D. Nagarajan
Fuzzy Inventory Model for Imperfect Items with Price Discount and Penalty Maintenance Cost
title Fuzzy Inventory Model for Imperfect Items with Price Discount and Penalty Maintenance Cost
title_full Fuzzy Inventory Model for Imperfect Items with Price Discount and Penalty Maintenance Cost
title_fullStr Fuzzy Inventory Model for Imperfect Items with Price Discount and Penalty Maintenance Cost
title_full_unstemmed Fuzzy Inventory Model for Imperfect Items with Price Discount and Penalty Maintenance Cost
title_short Fuzzy Inventory Model for Imperfect Items with Price Discount and Penalty Maintenance Cost
title_sort fuzzy inventory model for imperfect items with price discount and penalty maintenance cost
topic QA299.6-433 Analysis
url http://eprints.uthm.edu.my/9012/1/J15668_b858e583962b6860d63805bedbdb4d88.pdf
http://eprints.uthm.edu.my/9012/
https://doi.org/10.1155/2023/1246257
url_provider http://eprints.uthm.edu.my/