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Meta-heuristic Based Multi Objective Supply Chain Model for the Oil Industry in Conditions of Uncertainty

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Innovations in Bio-Inspired Computing and Applications (IBICA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1372))

Abstract

In today’s highly competitive environment, the high speed of evolutions has increased the uncertainty of decisions, which creates a high level of uncertainty in the supply chain and impairs its ability to predict future conditions. To plan better and more accurately, reliable planning should be performed. One of the reliable approaches is robust optimization. In this study, a forward oil supply chain is considered to minimize the shipping costs as well as the number of loads under certain and uncertain conditions. To solve the model under certain conditions, two meta-heuristic algorithms, including particle swarm optimization (PSO) and multi objective particle swarm optimization (MOPSO) are used, and in the uncertain condition, the Mulvey approach is implemented . The empirical results illustrate the efficiency of proposed models under both conditions.

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Author information

Authors and Affiliations

  1. Department of Economy, Kharazmi University, Tehran, Iran

    Omid Abdolazimi

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

    Ajith Abraham

Authors
  1. Omid Abdolazimi
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  2. Ajith Abraham
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Editor information

Editors and Affiliations

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

    Ajith Abraham

  2. National Institute of Information and Communications Technology (NICT), Koganei, Tokyo, Japan

    Hideyasu Sasaki

  3. Universidade Federal da Bahia, Salvador, Brazil

    Ricardo Rios

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

    Niketa Gandhi

  5. Institute of Technology and Science, Ghaziabad, Uttar Pradesh, India

    Umang Singh

  6. School of Information Science and Engineering, University of Jinan, Jinan, Shandong, China

    Kun Ma

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Abdolazimi, O., Abraham, A. (2021). Meta-heuristic Based Multi Objective Supply Chain Model for the Oil Industry in Conditions of Uncertainty. In: Abraham, A., Sasaki, H., Rios, R., Gandhi, N., Singh, U., Ma, K. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2020. Advances in Intelligent Systems and Computing, vol 1372. Springer, Cham. https://doi.org/10.1007/978-3-030-73603-3_13

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