Forecast Innovative Development Level in Green Supply Chains Using a Comprehensive Fuzzy Algorithm

Delgoshaei, Aidin; Beighizadeh, Razieh; Ariffin, Mohd Khairol Anuar Bin Mohd; Leman, Zulkiflle; Ali, Ahad

doi:10.1007/s40815-022-01416-7

Cited by 2 publications

(1 citation statement)

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“…As the source of the whole supply chain, the evaluation and selection of suppliers is the foundation of supply chain formation (Zaare Tajabadi & Daneshvar, 2023). The supplier's delivery efficiency, product quality, inventory level, design advantage, and other aspects directly affect the manufacturer's income (Delgoshaei et al, 2023). At the same time, the supplier's product price and quality also determine the final customer satisfaction, product market competitiveness, possession, and viability and also have a certain impact on the core competitiveness of each component of the supply chain (Jo et al, 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

Supplier Evaluation in Supply Chain Environment Based on Radial Basis Function Neural Network

Liu,

Yu,

Kim

2024

International Journal of Information Technology and Web Engineering

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The comprehensive evaluation and selection of suppliers under the environment of supply chain management has become a key factor affecting the success of supply chain. How to select suppliers and the strategic partnership between suppliers under the environment of supply chain management has become an important challenge. To solve this problem, this paper takes the supplier evaluation and selection of Guangzhou Automobile Toyota Company as the research object, constructs the index system of supplier comprehensive evaluation and selection, uses the RBF neural network algorithm to establish the supplier evaluation and selection model, and makes an experimental study. The results show that radial basis function neural network is a local approximation network, which has a unique and definite solution to the problem, and there is no local minimum problem in BP network. It is a method that enables enterprises and suppliers to have a clear understanding and seek further promotion together. The research provides theoretical data support for enterprise managers to make decisions.

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Section: Literature Reviewmentioning

confidence: 99%