<i>H</i><sub>∞</sub> Consistency of T-S Fuzzy Supply Chain System Based on Trust Mechanism
As the market environment becomes increasingly complex, the demands for supply chain performance and security are continuously rising. Consequently, it is crucial to consider the role of trust factors within the system. This paper introduces a trust mechanism in the interaction between supply and de...
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MDPI AG
2024-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/24/12043 |
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| author | Yong Huang Qingkui Li |
| author_facet | Yong Huang Qingkui Li |
| author_sort | Yong Huang |
| collection | DOAJ |
| description | As the market environment becomes increasingly complex, the demands for supply chain performance and security are continuously rising. Consequently, it is crucial to consider the role of trust factors within the system. This paper introduces a trust mechanism in the interaction between supply and demand within supply chain logistics and information flow. The supply chain system, characterized by varying degrees of trust, is modeled as multiple subsystems using the T-S fuzzy model. The challenge of mitigating the bullwhip effect, which refers to the amplification of demand variability within the supply chain, is reformulated as an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>H</mi><mo>∞</mo></msub></semantics></math></inline-formula> consistency problem. A productivity and distributed consistency protocol switching controller based on fuzzy rules is designed, providing sufficient conditions for the entire system to achieve consistency. The proposed method effectively suppresses the bullwhip effect and allows certain nodes in the system to be temporarily in an abnormal state. Finally, the method’s effectiveness is validated through simulation examples. |
| format | Article |
| id | doaj-art-8616c6b8a851440c8bc9c15c25a87bf5 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-8616c6b8a851440c8bc9c15c25a87bf52024-12-27T14:09:12ZengMDPI AGApplied Sciences2076-34172024-12-0114241204310.3390/app142412043<i>H</i><sub>∞</sub> Consistency of T-S Fuzzy Supply Chain System Based on Trust MechanismYong Huang0Qingkui Li1School of Automation, Beijing Information Science and Technology University, Beijing 100096, ChinaSchool of Automation, Beijing Information Science and Technology University, Beijing 100096, ChinaAs the market environment becomes increasingly complex, the demands for supply chain performance and security are continuously rising. Consequently, it is crucial to consider the role of trust factors within the system. This paper introduces a trust mechanism in the interaction between supply and demand within supply chain logistics and information flow. The supply chain system, characterized by varying degrees of trust, is modeled as multiple subsystems using the T-S fuzzy model. The challenge of mitigating the bullwhip effect, which refers to the amplification of demand variability within the supply chain, is reformulated as an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>H</mi><mo>∞</mo></msub></semantics></math></inline-formula> consistency problem. A productivity and distributed consistency protocol switching controller based on fuzzy rules is designed, providing sufficient conditions for the entire system to achieve consistency. The proposed method effectively suppresses the bullwhip effect and allows certain nodes in the system to be temporarily in an abnormal state. Finally, the method’s effectiveness is validated through simulation examples.https://www.mdpi.com/2076-3417/14/24/12043smart logistics<i>H</i><sub>∞</sub> controltrustswitching systemsT-S fuzzy |
| spellingShingle | Yong Huang Qingkui Li <i>H</i><sub>∞</sub> Consistency of T-S Fuzzy Supply Chain System Based on Trust Mechanism Applied Sciences smart logistics <i>H</i><sub>∞</sub> control trust switching systems T-S fuzzy |
| title | <i>H</i><sub>∞</sub> Consistency of T-S Fuzzy Supply Chain System Based on Trust Mechanism |
| title_full | <i>H</i><sub>∞</sub> Consistency of T-S Fuzzy Supply Chain System Based on Trust Mechanism |
| title_fullStr | <i>H</i><sub>∞</sub> Consistency of T-S Fuzzy Supply Chain System Based on Trust Mechanism |
| title_full_unstemmed | <i>H</i><sub>∞</sub> Consistency of T-S Fuzzy Supply Chain System Based on Trust Mechanism |
| title_short | <i>H</i><sub>∞</sub> Consistency of T-S Fuzzy Supply Chain System Based on Trust Mechanism |
| title_sort | i h i sub ∞ sub consistency of t s fuzzy supply chain system based on trust mechanism |
| topic | smart logistics <i>H</i><sub>∞</sub> control trust switching systems T-S fuzzy |
| url | https://www.mdpi.com/2076-3417/14/24/12043 |
| work_keys_str_mv | AT yonghuang ihisubsubconsistencyoftsfuzzysupplychainsystembasedontrustmechanism AT qingkuili ihisubsubconsistencyoftsfuzzysupplychainsystembasedontrustmechanism |