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Incremental Modeling of Supply Chain to Improve Performance Measures

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Business Information Systems Workshops (BIS 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 373))

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Abstract

Supply chain modeling is one of the key tools to improve its performance measures. This research follows the principles of Design Science Research (DSR). The paper presents the concept of incremental modeling, which helps quick adaptation of the suply chain model. This method uses Data Science methods and Big Data. Evaluation of the method will be conducted on the franchise network. Hence, new performance measures classification that contains measures specific to the needs of the franchise network, has been developed. In particular measures that allow assessing the level of cooperation around conflicting goals of franchise network participants are included. The results will improve the cooperation of entities within franchise networks.

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Authors and Affiliations

  1. Department of Information Systems, Faculty of Informatics and Electronic Economy, Poznań University of Economics, al. Niepodleglości 10, 61-875, Poznań, Poland

    Szczepan Górtowski & Elżbieta Lewańska

  2. Żabka Polska, Plac Andersa 7, 61-894, Poznań, Poland

    Szczepan Górtowski

Authors
  1. Szczepan Górtowski
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  2. Elżbieta Lewańska
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Correspondence to Elżbieta Lewańska .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznan, Poland

    Witold Abramowicz

  2. University of Seville, Seville, Spain

    Rafael Corchuelo

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Górtowski, S., Lewańska, E. (2019). Incremental Modeling of Supply Chain to Improve Performance Measures. In: Abramowicz, W., Corchuelo, R. (eds) Business Information Systems Workshops. BIS 2019. Lecture Notes in Business Information Processing, vol 373. Springer, Cham. https://doi.org/10.1007/978-3-030-36691-9_53

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  • DOI: https://doi.org/10.1007/978-3-030-36691-9_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36690-2

  • Online ISBN: 978-3-030-36691-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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