Scientific periodicals of the UAN / Наукові періодичні видання УАН
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Перегляд Scientific periodicals of the UAN / Наукові періодичні видання УАН за Ключові слова "adaptive decision-making"
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Документ Adaptive management system of supply chain in a manufacturing enterprise(Alfred Nobel University, 2025-06-02) Ievgen PirkovetsThis article presents a system for enhancing adaptive management through the integration of fuzzy logic decision-making system in backed by blockchain supply chain smart-contracts of an enterprise. The system utilizes blockchain’s immutable ledger and smart contracts to automate key processes such as manufacturing processes, inventory management, and regulatory compliance, thus addressing issues like communication gaps, delays, and counterfeit risks. However, the inherent rigidity of blockchain systems in adapting to dynamic manufacturing environments prompts the incorporation of fuzzy logic. Fuzzy logic offers a solution to this limitation by enabling more nuanced decision-making through the processing of uncertain or imprecise data. The article details the integration of fuzzy logic with blockchain, wherein fuzzy inference systems (FIS) are employed to evaluate and interpret operational data under variable conditions. This combination allows for adaptive responses to supply chain disruptions, such as supplier delays or inventory shortages. The fuzzy logic system applies rules to determine the optimal course of action, which is then executed through blockchain-based smart contracts. Key advancements include the development of a modified smart contract framework that uses fuzzy logic to adjust supply chain parameters dynamically. For example, supplier reliability is assessed using fuzzy membership functions, leading to adjustments in pricing and supply quantities based on real-time evaluations. This approach enhances the flexibility and responsiveness of manufacturing operations, ensuring that decisions are based on comprehensive data analysis rather than static rules. The proposed system provides a robust solution for managing production processes amidst fluctuating conditions, combining the transparency and security of blockchain with the adaptive capabilities of fuzzy logic. This integration aims to optimize production efficiency and maintain operational continuity in the face of unpredictable challenges.