Abstract
Nowadays the enterprises pay the closer attention to the relationship among suppliers, manufacturers and distributors due to the global competitive market economy. And they manage the supply chain through establishing strategic cooperative partnership, which can greatly enhance the competitive advantage and obtain greater overall profits. In this paper, the fuzzy theory is applied to study the supply chain partner selection and the task coarse allocation problem in under multi-attribute fuzzy comprehensive decision-making and fuzzy constraints. Finally, the fuzzy comprehensive decision of supply chain network structure was verified through the case of Shaoxing textile.
Highlights
In the process of supply chain coordination and optimization, a challenging problem is dealing with the existing uncertain factors (Ju & Chen, 2017; He et al, 2016a)
Based on the fuzzy theory and with the supply chain network under uncertain environment as the object, this paper focuses on studying the dynamic allocation problem in the supply chain partner selection under multi-attribute fuzzy comprehensive decisionmaking and fuzzy constraints
According to what is presented in this paper, we can build or optimize the corresponding supply chain network from the actual three different situations
Summary
In the process of supply chain coordination and optimization, a challenging problem is dealing with the existing uncertain factors (Ju & Chen, 2017; He et al, 2016a). To choose the appropriate upstream and downstream partners is an important task in supply chain network optimization. Research on supply chain partner selection and task allocation based on fuzzy theory under an uncertain environment.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
