A Two Ware-houses Inventory Model with Different Deterioration rate under Learning Effect
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| Format: | Recurso digital |
| Sprache: | Englisch |
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2025
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| _version_ | 1866901923491217408 |
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| author | Vats, Mukta Siwach, Rajeev Chandramouli, A.B |
| author_facet | Vats, Mukta Siwach, Rajeev Chandramouli, A.B |
| contents | <p><span>This research paper a thorough investigation into the dynamics of inventory management within dual warehouse systems, focusing on the intricate interaction between linear and nonlinear deterioration rates. By examining various deterioration conditions and integrating considerations of carbon emissions, inflation, and dynamic demand dependencies on both price and time, a holistic understanding of inventory degradation processes is achieved. Through the utilization of mathematical modelling and simulation methodologies, the study explores the implications of different deterioration scenarios on inventory turnover and environmental sustainability. Additionally, it investigates the effects of carbon emissions and inflation on inventory management strategies, highlighting the necessity for adaptive approaches to mitigate adverse impacts. Moreover, by incorporating dynamic demand dependencies on price and time, the research sheds light on the complex interplay between pricing strategies, demand fluctuations, and inventory management decisions. The findings contribute to both theoretical advancements in inventory management and practical insights for optimizing operations within dual warehouse systems amidst evolving environmental and economic dynamics. </span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14871904 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A Two Ware-houses Inventory Model with Different Deterioration rate under Learning Effect Vats, Mukta Siwach, Rajeev Chandramouli, A.B Statistics two-warehouses carbon emission inflation partial backlogging <p><span>This research paper a thorough investigation into the dynamics of inventory management within dual warehouse systems, focusing on the intricate interaction between linear and nonlinear deterioration rates. By examining various deterioration conditions and integrating considerations of carbon emissions, inflation, and dynamic demand dependencies on both price and time, a holistic understanding of inventory degradation processes is achieved. Through the utilization of mathematical modelling and simulation methodologies, the study explores the implications of different deterioration scenarios on inventory turnover and environmental sustainability. Additionally, it investigates the effects of carbon emissions and inflation on inventory management strategies, highlighting the necessity for adaptive approaches to mitigate adverse impacts. Moreover, by incorporating dynamic demand dependencies on price and time, the research sheds light on the complex interplay between pricing strategies, demand fluctuations, and inventory management decisions. The findings contribute to both theoretical advancements in inventory management and practical insights for optimizing operations within dual warehouse systems amidst evolving environmental and economic dynamics. </span></p> |
| title | A Two Ware-houses Inventory Model with Different Deterioration rate under Learning Effect |
| topic | Statistics two-warehouses carbon emission inflation partial backlogging |
| url | https://doi.org/10.5281/zenodo.14871904 |