An integration methodology based on fuzzy inference systems and neural approaches for multi-stage supply-chains

Publication year: 2011 Source: Computers & Industrial Engineering, Available online 15 November 2011 Tuğba Efendigil, Semih Önüt This paper proposes a methodology for supply chain (SC) integration from customers to suppliers through warehouses, retailers, and plants via bothadaptive network based fuzzy inference systemandartificial neural networksapproaches. The methodology presented provides this integration by finding the requested supplier capacities using the demand and order lead time information across the whole SC in an uncertain environment.

Publication year: 2011 Source: Computers & Industrial Engineering, Available online 15 November 2011 Tuğba Efendigil, Semih Önüt This paper proposes a methodology for supply chain (SC) integration from customers to suppliers through warehouses, retailers, and plants via bothadaptive network based fuzzy inference systemandartificial neural networksapproaches. The methodology presented provides this integration by finding the requested supplier capacities using the demand and order lead time information across the whole SC in an uncertain environment.

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An integration methodology based on fuzzy inference systems and neural approaches for multi-stage supply-chains