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Supply Chain Modelling Using Data Science

  • Szczepan GórtowskiEmail author
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 339)

Abstract

The paper describes a research results in the field of supply chain modelling. The supply chain topology model, which will be the base for further analysis, is modelled as a network where nodes represent entities and business processes between them are presented as edges. A convenience stores network with a franchising business model was chosen for the model evaluation. The analysis uncovers conflicting goals between the franchisees and the franchise holder that must be taken into account. To conduct the research the Data Mining techniques, especially Process Mining (process design, process improvement, process analysis) will be used. First insight into Information needs is described.

Keywords

Process mining Data-driven decision making Supply chain Logistics Supply chain modelling Supply chain design 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Information Systems, Faculty of Informatics and Electronic EconomyPoznań University of EconomicsPoznańPoland
  2. 2.Żabka PolskaPoznańPoland

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