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Numrering	Referens	Omslagsbild	Hitta
1.	Gandhi, Kanika, et al. (författare) Three Echelon Supply Chain Design with Supplier Evaluation 2014 Ingår i: Proceedings of the Third International Conference on Soft Computing for Problem Solving. - Berlin : Springer-Verlag GmbH. - 9788132217671 - 9788132217688 ; , s. 867-881 Konferensbidrag (refereegranskat)abstract Effective supply chain management (SCM), which facilitates companies to react to changing demand by swiftly communicating those needs to their supplier, is at the root of successful manufacturing. Optimizing a supply chain (SC) performance is a key factor for success in long term SC relationships. Much information like price, delivery time percentage and acceptance percentage are discussed in the process. A factor as imprecise demand is added in the same process that fuzzifies coordination between buyer and supplier. The paper considers nondeterministic conditions in the environment of business, coordination in procurement and distribution in a supplier selection problem that was proposed and a fuzzy model with two objectives was defined. The proposed model is a “fuzzy bi-objective mixed integer nonlinear” problem. A “fuzzy solution and fuzzy goal programming method” is used to convert the model into crisp form and solved using differential evolution

Gandhi, Kanika, et al. (författare)
Three Echelon Supply Chain Design with Supplier Evaluation
2014
Ingår i: Proceedings of the Third International Conference on Soft Computing for Problem Solving. - Berlin : Springer-Verlag GmbH. - 9788132217671 - 9788132217688 ; , s. 867-881
Konferensbidrag (refereegranskat)abstract
- Effective supply chain management (SCM), which facilitates companies to react to changing demand by swiftly communicating those needs to their supplier, is at the root of successful manufacturing. Optimizing a supply chain (SC) performance is a key factor for success in long term SC relationships. Much information like price, delivery time percentage and acceptance percentage are discussed in the process. A factor as imprecise demand is added in the same process that fuzzifies coordination between buyer and supplier. The paper considers nondeterministic conditions in the environment of business, coordination in procurement and distribution in a supplier selection problem that was proposed and a fuzzy model with two objectives was defined. The proposed model is a “fuzzy bi-objective mixed integer nonlinear” problem. A “fuzzy solution and fuzzy goal programming method” is used to convert the model into crisp form and solved using differential evolution

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