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Impact of Trust on Agent-Based Simulation for Supply Chains

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Multi-Agent-Based Simulation XIX (MABS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11463))

Abstract

Companies in supply chains have a goal to optimize their productivity, and hence their profits. One way to study the behavior of these chains is to simulate them using a multi-agent approach. In this work, we propose an extension of a model used in the literature, called the Beer Game, by adding multiple agents in each of its levels to evaluate both the local and global performance of the suppliers. We use different agent profiles, based either on trust or on price. By enabling clients to ask supplier suggestions from their peers, we measure how these peers’ suggestions and lies affect working capital and trust measures for different agent profiles.

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Notes

  1. 1.

    The source available at Github, https://github.com/ajalbut/SupplyChainTrust.

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Author information

Authors and Affiliations

  1. Laboratório de Técnicas Inteligentes (LTI), Escola Politécnica (EP), Universidade de São Paulo (USP), São Paulo, Brazil

    André Jalbut & Jaime Simão Sichman

Authors
  1. André Jalbut
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  2. Jaime Simão Sichman
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Corresponding author

Correspondence to Jaime Simão Sichman .

Editor information

Editors and Affiliations

  1. Malmö University, Malmö, Sweden

    Paul Davidsson

  2. Stockholm University, Kista, Sweden

    Harko Verhagen

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Jalbut, A., Sichman, J.S. (2019). Impact of Trust on Agent-Based Simulation for Supply Chains. In: Davidsson, P., Verhagen, H. (eds) Multi-Agent-Based Simulation XIX. MABS 2018. Lecture Notes in Computer Science(), vol 11463. Springer, Cham. https://doi.org/10.1007/978-3-030-22270-3_4

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  • DOI: https://doi.org/10.1007/978-3-030-22270-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22269-7

  • Online ISBN: 978-3-030-22270-3

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