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Neural Computing and Applications

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07.11.2015 | Original Article

A hybrid model for supplier selection: integration of AHP and multi expression programming (MEP)

verfasst von: Alireza Fallahpour, Ezutah Udoncy Olugu, Siti Nurmaya Musa

Erschienen in: Neural Computing and Applications | Ausgabe 3/2017

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Abstract

Supplier evaluation and selection is a complicated process which deals with conflicting attributes such as quality, cost. To mitigate the computational complexity, intelligent-based techniques have gained much popularity. But the main shortcoming of the existing models in this regard is to be a black box system. In this paper, we aim to combine analytical hierarchy process with multi-expression programming to both introduce a new evolutionary approach in the field of supplier evaluation and selection and cope with the earlier problem. To show the validity of the model, statistical test was carried out. The finding showed that the proposed model is accurate and acceptable for using in the evaluation process.

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Titel: A hybrid model for supplier selection: integration of AHP and multi expression programming (MEP)
verfasst von: Alireza Fallahpour
Ezutah Udoncy Olugu
Siti Nurmaya Musa
Publikationsdatum: 07.11.2015
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 3/2017
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-015-2078-6

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