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Intelligent Data analysis and its Applications, Volume II pp 105–117Cite as

A Novel Approach for Sustainable Supplier Selection Using Differential Evolution: A Case on Pulp and Paper Industry

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 298))

Abstract

Diverse sustainable supplier selection (SSS) methodologies have been suggested by the practitioners in earlier, to find a solution to the SSS problem. A SSS problem fundamentally is a multi-criteria practice. It is a judgment of tactical significance to enterprises. The nature of this decision usually is difficult and unstructured. Optimization practices might be useful tools for these types of decision-making difficulties. During last few years, Differential Evolution has arisen as a dominating tool used for solving a variety of problems arising in numerous fields. In the current study, we present an approach to find a solution to the SSS problem using Differential Evolution in pulp and paper industry. Hence this paper presents a novel approach is to practice Differential Evolution to select the efficient sustainable suppliers providing the maximum fulfillment for the sustainable criteria determined. Finally, an illustrative example on pulp and paper industry validates the application of the present approach.

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Author information

Authors and Affiliations

  1. Indian Institute of Technology, Roorkee, India

    Sunil Kumar Jauhar & Millie Pant

  2. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn, 98071, WA, USA

    Ajith Abraham

Authors
  1. Sunil Kumar Jauhar
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  2. Millie Pant
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  3. Ajith Abraham
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Corresponding author

Correspondence to Sunil Kumar Jauhar .

Editor information

Editors and Affiliations

  1. University of Applied Sciences, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Computer Science Faculty of Elec. Eng. & Comp. Sci., VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  3. Departamento de Informáca y Automática Facultad de Biología, University of Salamanca, Salamanca, Spain

    Emilio S. Corchado

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  5. Department of Information Management, National University of Kaohsiung, Kaohsiung, Taiwan

    Shyue-Liang Wang

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Jauhar, S.K., Pant, M., Abraham, A. (2014). A Novel Approach for Sustainable Supplier Selection Using Differential Evolution: A Case on Pulp and Paper Industry. In: Pan, JS., Snasel, V., Corchado, E., Abraham, A., Wang, SL. (eds) Intelligent Data analysis and its Applications, Volume II. Advances in Intelligent Systems and Computing, vol 298. Springer, Cham. https://doi.org/10.1007/978-3-319-07773-4_11

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  • DOI: https://doi.org/10.1007/978-3-319-07773-4_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07772-7

  • Online ISBN: 978-3-319-07773-4

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