A Multi-Criteria Interval Optimization Model for Manufacturing Supplier Selection Using Genetic Algorithm

This paper presents a multi-criteria interval optimization model to determine the optimal criteria values and then rank the candidate suppliers. Evaluation criteria values are considered as interval data and the optimization model is constructed based on the concept of distance measure of the Euclid...

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Bibliographische Detailangaben

Hauptverfasser:	Cheng, Fangqi, Wang, Huaiao, Ye, Feifan
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computer science education Costs Educational technology Euclidean distance genetic algorithm Genetic algorithms interval optimization Manufacturing processes Mathematical model Paper technology Pulp manufacturing supplier selection Virtual manufacturing
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