Advanced Fuzzy Algorithm for Analyzing Manufacturing Spatial Distribution Influencing Factors for Eco-innovation in China

Technological eco-innovation is crucial for improving economic-environmental performance by improving resource efficiency. Eco-innovation results in sustainable product and supply development via conventional business strategies and ecological demands. Eco-based product distribution and cultivation are enabled via spatial distributions and optimal supply chains (SCs). This article introduces an adverse impact factor assessment model (AIFAM) via fuzzy optimization (FO). Manufacturing enterprises’ green innovation capability is a comprehensive concept from the perspective of ecological location. Expressing and addressing this fuzzy concept are necessary to establish an accurate and comprehensive environmental location index evaluation system. This model specifically identifies the degree of adverse impact on the distribution of eco-innovative products. The retarded development in the spatial distribution is computed in each quarter from the statistical manufacturing data. This retardation factor is computed for detecting the degree of adverse impact on the eco-innovative distribution and manufacturing. This model uses fuzzy optimization to analyze the difference between manufacturing and supply. From this difference, alternate supply and manufacturing solutions rectify the maximum interfering factor with a high degree of adverse impact. The assessment helps improve the distribution regardless of the production rate and distribution points. The experimental results show that the proposed method can be used to analyze the impact of a 0.85 distribution increase, a 0.20 distribution increase every quarter, a supply assessment time of 1600s, and a maximum interference factor of 0.25.