Supplier selection among alternative scenarios by Data envelopment analysis

Vaez-Ghasemi, Mohsen

Document Type : Research Paper

Author

Mohsen Vaez-Ghasemi

Department of Mathematics, Islamic Azad University, Rasht Branch

Abstract

A considerable problem in competitive trade world is choosing the best supply chain. As a result in much more serious circumstances of competitions looking for the best supplier for manufacturing, for preparing raw material, is very significant. Meantime suppliers have different scenarios to be fulfilled, such as changing selection variables like lead-time, transportation cost and transportation path. In this paper a mathematical model using Data Envelopment Analysis (DEA) technique and binary algorithm for selecting suppliers with different scenarios is used which can evaluate suppliers with variable preferences and replacement for other suppliers.
A considerable problem in competitive trade world is choosing the best supply chain. As a result in much more serious circumstances of competitions looking for the best supplier for manufacturing, for preparing raw material, is very significant. Meantime suppliers have different scenarios to be fulfilled, such as changing selection variables like lead-time, transportation cost and transportation path. In this paper a mathematical model using Data Envelopment Analysis (DEA) technique and binary algorithm for selecting suppliers with different scenarios is used which can evaluate suppliers with variable preferences and replacement for other suppliers.

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Main Subjects

References

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Iranian Journal of Optimization

Supplier selection among alternative scenarios by Data envelopment analysis

References

References

Volume 7, Issue 2 - Serial Number 2
Autumn 2015
Pages 815-821

Supplier selection among alternative scenarios by Data envelopment analysis

References

References

Volume 7, Issue 2 - Serial Number 2Autumn 2015Pages 815-821

Volume 7, Issue 2 - Serial Number 2
Autumn 2015
Pages 815-821