Lu, L.; Long, P.; Luo, X. Resilience Evaluation of Forest Products Platform Supply Chain Based on Artificial Intelligence and Extension Theory. Preprints2024, 2024110307. https://doi.org/10.20944/preprints202411.0307.v1
APA Style
Lu, L., Long, P., & Luo, X. (2024). Resilience Evaluation of Forest Products Platform Supply Chain Based on Artificial Intelligence and Extension Theory. Preprints. https://doi.org/10.20944/preprints202411.0307.v1
Chicago/Turabian Style
Lu, L., Ping Long and Xiaochun Luo. 2024 "Resilience Evaluation of Forest Products Platform Supply Chain Based on Artificial Intelligence and Extension Theory" Preprints. https://doi.org/10.20944/preprints202411.0307.v1
Abstract
Forestry has a profound impact on environmental protection, economic development and social welfare. With the improvement of global environmental protection awareness, the construction of platform supply chain of forest products has become the core driving force to promote sustainable development of forestry. Studying the resilience of supply chain of platform of forest products is of great importance to solve the contradiction between economic development and natural ecosystem protection. However, the existing resilience evaluation methods are not suitable for the dynamic and complex performance evaluation of the current forest products platform supply chain. Therefore, in order to make up for this shortcoming, this paper evaluates and analyzes the supply chain resilience of forest products platform based on AI recommendation and extension theory. Firstly, the paper integrates the innovative thinking method of extension into the AI recommendation technology, and constructs the resilience performance evaluation index system of the platform supply chain of forest products combined with the characteristics of forest products. Secondly, the evaluation model of the supply chain toughness of forest products platform was constructed, and the weight value of each index was obtained. Finally, in order to ensure the authenticity and credibility of the evaluation results, the resilience levels of different types of forest products platform supply chains were illustrated by numerical examples, and the effectiveness of the application of AI recommendation and extension theory in the resilience performance evaluation of forest products platform supply chains was verified. The scientific value of this paper is that it provides a new idea and a new method for the resilience performance evaluation of the forest products platform supply chain, and makes theoretical and practical contributions to the fruitful application of AI recommendation in the supply chain field. In addition, this study also provides a new practical guideline for protecting the natural environment and realizing the sustainable development of forestry.
Business, Economics and Management, Business and Management
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
