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Soft Computing Models in Industrial and Environmental Applications pp 83–92Cite as

An Approach of Genetic Algorithm to Model Supplier Assessment in Inbound Logistics

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 188))

Abstract

In times of economic crises and increasing market competition, business stability, quality, safety and supply chain flexibility and cost optimization play an increasing role in companies that strive to stay and survive in the market. A wise choice of suppliers, in such circumstances, becomes increasingly important prerequisite for the success of any company. This paper presents a novel model for supplier assessment. The proposed model considers the performance of suppliers classified into several different groups of questions related to all the relevant issues: finance, logistics, competitiveness, quality and level of supplier services. This model can be applied in a variety of companies and for different supplier categories based on their purchase categories and therefore achieve a realistic assessment.

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Author information

Authors and Affiliations

  1. Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Dobradovića 6, 21000, Novi Sad, Serbia

    Dragan Simić

  2. Lames Ltd., Jarački put bb., 22000, Sremska Mitrovica, Serbia

    Vasa Svirčević

  3. Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 1-9, 21000, Novi Sad, Serbia

    Svetlana Simić

Authors
  1. Dragan Simić
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  2. Vasa Svirčević
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  3. Svetlana Simić
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Corresponding author

Correspondence to Dragan Simić .

Editor information

Editors and Affiliations

  1. VŠB-TU Ostrava, 17. listopadu 15, Ostrava, 70833, Czech Republic

    Václav Snášel

  2. (MIR Labs), Scientific Network for Innovation and, Machine Intelligence Research Labs, Auburn, 98071-2259, Washington, USA

    Ajith Abraham

  3. , Dept. de Informática y Automática, University of Salamanca, Plaza de la Merced, s/n, Salamanca, 37008, Spain

    Emilio S. Corchado

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© 2013 Springer-Verlag Berlin Heidelberg

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Simić, D., Svirčević, V., Simić, S. (2013). An Approach of Genetic Algorithm to Model Supplier Assessment in Inbound Logistics. In: Snášel, V., Abraham, A., Corchado, E. (eds) Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32922-7_9

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  • DOI: https://doi.org/10.1007/978-3-642-32922-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32921-0

  • Online ISBN: 978-3-642-32922-7

  • eBook Packages: EngineeringEngineering (R0)

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