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The Framework of Logistics 4.0 Maturity Model

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Intelligent Systems in Production Engineering and Maintenance (ISPEM 2018)

Abstract

The term Industry 4.0 is widely recognized, not only among academics, but also among business. The term that has not gained that popularity and publicity yet is Logistics 4.0. As industry needs material flows, and in global economy they are of high complexity, authors believe that Logistics 4.0 will be the field of research and solutions within it will be sought for and implemented by companies. The paper presents the framework of Logistics 4.0 Maturity Model, developed to provide companies with opportunity to assess current status with respect to Logistics 4.0 and develop a road map for improvement process. The model is developed basing on the literature research on Logistics 4.0 and maturity models and design to offer measures that can be translated into set of guidelines or recommended solutions towards Logistics 4.0. The research is at the modeling stage, however the pilot research among business to recognize their awareness of Logistics 4.0 as a source of competitive advantage and tools and methods within Logistics 4.0 was already conducted and is to be the basis for further research stages.

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Notes

  1. 1.

    According to Council of Supply Chain Management Professionals (previously the Council of Logistics Management) logistics is the process of planning, implementing and controlling (altogether referred to as management) procedures for the efficient and effective transportation and storage of goods (material flows) including services and related information (information flows) from the point of origin to the point of consumption for the purpose of conforming to customer requirements and includes inbound, outbound, internal and external movements.

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Correspondence to Joanna Oleśków-Szłapka .

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Oleśków-Szłapka, J., Stachowiak, A. (2019). The Framework of Logistics 4.0 Maturity Model. In: Burduk, A., Chlebus, E., Nowakowski, T., Tubis, A. (eds) Intelligent Systems in Production Engineering and Maintenance. ISPEM 2018. Advances in Intelligent Systems and Computing, vol 835. Springer, Cham. https://doi.org/10.1007/978-3-319-97490-3_73

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