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Supply chain system optimization using state space models under partial uncertainty

Dragatidi Aspasia-Thaleia

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URI: http://purl.tuc.gr/dl/dias/EED78D4C-595A-433A-ACB2-8AD702DB4CF6
Year 2025
Type of Item Diploma Work
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Bibliographic Citation Aspasia-Thaleia Dragatidi, "Supply chain system optimization using state space models under partial uncertainty", Diploma Work, School of Chemical and Environmental Engineering, Technical University of Crete, Chania, Greece, 2025 https://doi.org/10.26233/heallink.tuc.102203
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Summary

The thesis focuses on inventory management optimization through mathematical models and algorithms. A state-space model approach is used to represent the system, while optimization techniques are applied to determine the optimal ordering strategy. Additionally, various demand scenarios (both optimistic and pessimistic) are analyzed, and the results are evaluated using key metrics such as shortage and profit. The comparison of scenarios is conducted using the Pareto diagram, providing valuable insights for optimal decision-making in inventory management.

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