An Efficient Approach for Estimating Unknown Constants in an Adaptive Inventory Control System under Uncertainty.
This study focuses on inventory control in a manufacturing system for a typical machine building enterprise, involving machine building, transport, storage bunker, and assembly line. The storage bunker faces varying disturbances from the assembly line, necessitating consistent product flow from mach...
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| Autori principali: | , |
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| Natura: | Online |
| Lingua: | inglese |
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Journal of Science
2024
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| Accesso online: | http://journals.juniv.edu/index.php/jos/article/view/185 |
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| _version_ | 1873958340798709760 |
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| author | Roy, Sushanta K. Khan, Mohammad I. |
| author_facet | Roy, Sushanta K. Khan, Mohammad I. |
| author_sort | Roy, Sushanta K. |
| collection | OJS |
| description | This study focuses on inventory control in a manufacturing system for a typical machine building enterprise, involving machine building, transport, storage bunker, and assembly line. The storage bunker faces varying disturbances from the assembly line, necessitating consistent product flow from machining and transport to prevent operational failures. However, the lack of an exact machining model and uncertainties related to machine failures demand an adaptive decision-making system, which has already been developed. In this paper, we propose a modified, more realistic approach, to estimate some properties of the machining model more accurately, accounting for uncertainties due to machine failures and predictable, inconsistent disturbances from the assembly line. The effectiveness of this modified approach is demonstrated through simulation experiments. |
| format | Online |
| id | ojs-185 |
| institution | My University |
| language | eng |
| publishDate | 2024 |
| publisher | Journal of Science |
| record_format | ojs |
| spelling | ojs-1852025-07-30T02:36:18Z An Efficient Approach for Estimating Unknown Constants in an Adaptive Inventory Control System under Uncertainty. Roy, Sushanta K. Khan, Mohammad I. Storage Bunker Adaptive decision-making system uncertainties This study focuses on inventory control in a manufacturing system for a typical machine building enterprise, involving machine building, transport, storage bunker, and assembly line. The storage bunker faces varying disturbances from the assembly line, necessitating consistent product flow from machining and transport to prevent operational failures. However, the lack of an exact machining model and uncertainties related to machine failures demand an adaptive decision-making system, which has already been developed. In this paper, we propose a modified, more realistic approach, to estimate some properties of the machining model more accurately, accounting for uncertainties due to machine failures and predictable, inconsistent disturbances from the assembly line. The effectiveness of this modified approach is demonstrated through simulation experiments. Journal of Science 2024-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Conference Proceedings Submission application/pdf http://journals.juniv.edu/index.php/jos/article/view/185 10.59185/jos.v44i02.185 Journal of Science; Vol. 44 No. 02 (2024); 1-16 10.59185/jos.v44i02 eng http://journals.juniv.edu/index.php/jos/article/view/185/130 Copyright (c) 2025 Journal of Science |
| spellingShingle | Storage Bunker Adaptive decision-making system uncertainties Roy, Sushanta K. Khan, Mohammad I. An Efficient Approach for Estimating Unknown Constants in an Adaptive Inventory Control System under Uncertainty. |
| title | An Efficient Approach for Estimating Unknown Constants in an Adaptive Inventory Control System under Uncertainty. |
| title_full | An Efficient Approach for Estimating Unknown Constants in an Adaptive Inventory Control System under Uncertainty. |
| title_fullStr | An Efficient Approach for Estimating Unknown Constants in an Adaptive Inventory Control System under Uncertainty. |
| title_full_unstemmed | An Efficient Approach for Estimating Unknown Constants in an Adaptive Inventory Control System under Uncertainty. |
| title_short | An Efficient Approach for Estimating Unknown Constants in an Adaptive Inventory Control System under Uncertainty. |
| title_sort | efficient approach for estimating unknown constants in an adaptive inventory control system under uncertainty |
| topic | Storage Bunker Adaptive decision-making system uncertainties |
| topic_facet | Storage Bunker Adaptive decision-making system uncertainties |
| url | http://journals.juniv.edu/index.php/jos/article/view/185 |
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