LAPSE:2023.2269v1
Published Article
LAPSE:2023.2269v1
EOQ Models for Imperfect Items under Time Varying Demand Rate
Yi Wen Lok, Siti Suzlin Supadi, Kok Bin Wong
February 21, 2023
Abstract
In the classical Economic Order Quantity (EOQ) model, the common unrealistic assumptions are that all the purchased items are of perfect quality and the demand is constant. However, in a real-world environment, a portion of the purchased items might be damaged due to mishandling or an accident during the shipment process, and the demand rate may increase or decrease over time. Many companies are torn between repairing or replacing the imperfect items with new ones. The right decision on that options is crucial in order to guarantee that there is no shortage of stocks while at the same time not jeopardising the items’ quality and maximising the company’s profit. This paper investigates two EOQ models for imperfect quality items by assuming the demand rate varies with time. Under Policy 1, imperfect items are sent for repairs at an additional cost to the makeup margin; under Policy 2, imperfect items are replaced with equivalent quality items from a local supplier at a higher price. Two mathematical models are developed, and numerical examples along with sensitivity analyses are provided to illustrate these models. Our results reveal that Policy 1 is preferable to Policy 2 most of the time. However, Policy 2 outperforms Policy 1 if there is no minimum threshold on the purchased stock quantity. This research allows a company to discover solutions to previously identified inventory problems and make the inventory-patching process more controlled.
Keywords
EOQ, imperfect items, mathematical modelling, time-varying demand
Suggested Citation
Lok YW, Supadi SS, Wong KB. EOQ Models for Imperfect Items under Time Varying Demand Rate. (2023). LAPSE:2023.2269v1
Author Affiliations
Lok YW: Institute of Mathematical Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur 50603, Malaysia
Supadi SS: Institute of Mathematical Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur 50603, Malaysia
Wong KB: Institute of Mathematical Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur 50603, Malaysia
Journal Name
Processes
Volume
10
Issue
6
First Page
1220
Year
2022
Publication Date
2022-06-19
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr10061220, Publication Type: Journal Article
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LAPSE:2023.2269v1
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https://doi.org/10.3390/pr10061220
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Feb 21, 2023
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