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Digital Transportation Maturity Measurement

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Intelligent Systems in Digital Transformation

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 549))

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Abstract

From the past to the present, there are radical changes and developments available in technology. Therefore, following these technological developments become essential for companies and organizations for coping with competitors. Transportation is a system that is in every business and can be used in various fields, and therefore, digitalization in transportation can be very essential for companies to adapt to Industry 4.0. In this study, a novel maturity model is proposed with the help of the literature and the experiences of experts. Within the scope of the proposed maturity model, five main criteria (material flow, business culture, organization & strategy, customer satisfaction & marketing, smart logistics) are proposed. In addition, the proposed model is solved by a multi-criteria decision-making (MCDM) approach called hesitant fuzzy analytic hierarchy process (HFAHP). In the HFAHP method, uncertainties, which is the nature of this problem, are handled with fuzzy logic. Finally, a real-life case study is applied to the proposed model and methodology in a logistic company in Turkey. The results of this study show that the company needs to improve its capabilities for the digitalization of its transportation system, especially for customer satisfaction & marketing and organization & strategy criteria.

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Authors and Affiliations

  1. Bahcesehir University, Istanbul, Turkey

    Bilge Varol, Gulfem Er & Gül Tekin Temur

Authors
  1. Bilge Varol
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  2. Gulfem Er
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  3. Gül Tekin Temur
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Correspondence to Bilge Varol .

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Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Maçka, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Bahcesehir University, Besiktas, Istanbul, Turkey

    Elif Haktanır

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Varol, B., Er, G., Temur, G.T. (2023). Digital Transportation Maturity Measurement. In: Kahraman, C., Haktanır, E. (eds) Intelligent Systems in Digital Transformation. Lecture Notes in Networks and Systems, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-031-16598-6_24

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