Performance evaluation model and algorithm of green supply chain management based on sustainable computing

Abstract

How to facilitate collaborative development between the enterprise and the environment under the dual constraints of resources and the environment is the focus of today's green supply chain management system research. Through the performance evaluation of the green supply chain, we can understand the operation of the whole supply chain and its shortcomings, provide a basis for improving related processes, and have important practical significance for improving the competitiveness and protection of its products. First of all, by summarising and analysing the research status of sustainable supply chain management in different countries, the research idea and overall background of this paper are proposed. It discusses the theory of sustainable supply chain management and the performance evaluation system and calculation types of sustainable supply chain management. Finally, the relative weight of each index is determined based on the sustainability calculation method, and then the decentralisation degree of the index is constructed. During this period, the fuzzy comprehensive evaluation method is used to evaluate the performance of sustainable supply chain, conduct case analysis and summary, and evaluate the performance of green supply chain component in economic, social, environmental and other aspects. In this paper, representative companies are selected as examples to evaluate their green supply chain management performance, and the evaluation algorithm is studied based on sustainable calculation method. The results show that a reasonable and effective evaluation of the enterprise performance of green supply chain management and a sustainable algorithm study can effectively identify potential problems in the operation of the company and improve the overall operation of the company at this stage.

A Fuzzy Neural Network Approach for Evaluation of Wetland Restoration Programmes

“…Wu et al (2022) comprehensively used the frequency analysis method, theoretical analysis method and expert consultation method to construct an evaluation system in order to evaluate the effectiveness of mangrove ecological restoration in China [20]. He (2021) proposed a green supply chain performance evaluation method based on the fuzzy comprehensive evaluation method, based on the theory to establish a model to evaluate the performance of green supply chain in economic, social and environmental aspects [21]. Li et al (2019) proposed a health assessment model for electric power automation equipment based on Fuzzy Neural Network, using the adaptive function of neural network to solve the problems of simple assessment method, weak interpretability of assessment method and imprecise assessment effect in health assessment, and to provide a more accurate and personalised health assessment for individual equipment [22].…”

Sustainability Analysis of the Robusta Coffee Supply Chain in Banyuwangi Regency: A Multidimensional Approach with RAP-Robusta Coffee Method

“…Farmers' ability to provide high-quality raw materials affects the overall performance and competitiveness of the supply chain [15] . To gain a competitive advantage, the quality of raw materials must be improved continuously [16] . Owing to the mediating effect on productivity between competitive advantage and a sustainable supply chain management approach, raw material quality is critical to improving the overall performance of the supply chain [17] .…”