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

Research article (Thermal Science, 2021) · cited 13× · AI/ML
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Optimization of the average monthly cost of an EOQ inventory model for deteriorating items in machine learning using PYTHON

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Optimization of the average monthly cost of an EOQ inventory model for deteriorating items in machine learning using PYTHON is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Optimization of the average monthly cost of an EOQ inventory model for deteriorating items in machine learning using PYTHON. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimization-of-the-average-monthly-cost-of-an-eoq-inventory-model-for-deteriorating-items-in-machine-learning-using-pyt
MLA “Optimization of the average monthly cost of an EOQ inventory model for deteriorating items in machine learning using PYTHON.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimization-of-the-average-monthly-cost-of-an-eoq-inventory-model-for-deteriorating-items-in-machine-learning-using-pyt.
BibTeX @misc{4ortxyz_optimization-of-the-average-monthly-cost-of-an-eoq-inventory-model-for-deteriorating-items-in-machine-learning-using-pyt_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimization of the average monthly cost of an EOQ inventory model for deteriorating items in machine learning using PYTHON}}, year = {2026}, url = {https://4ort.xyz/entity/optimization-of-the-average-monthly-cost-of-an-eoq-inventory-model-for-deteriorating-items-in-machine-learning-using-pyt}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimization of the average monthly cost of an EOQ inventory model for deteriorating items in machine learning using PYTHON — https://4ort.xyz/entity/optimization-of-the-average-monthly-cost-of-an-eoq-inventory-model-for-deteriorating-items-in-machine-learning-using-pyt (retrieved 2026-05-24)

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