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A Maturity Model for Logistics 4.0: An Empirical Analysis and a Roadmap for Future Research

Author

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  • Francesco Facchini

    (Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, 70126 Bari, Italy)

  • Joanna Oleśków-Szłapka

    (Department of Management Engineering, Poznan University of Technology, 60-965 Poznań, Poland)

  • Luigi Ranieri

    (Department of Innovation Engineering, University of Salento, 73100 Lecce, Italy)

  • Andrea Urbinati

    (School of Industrial Engineering, LIUC Università Cattaneo, 21053 Castellanza, Italy)

Abstract

The adoption of Industry 4.0 technologies has become particularly important nowadays for companies in order to optimize their production processes and organizational structures. However, companies sometimes find it difficult to develop a strategic plan that innovates their current business model and develops an Industry 4.0 vision. To overcome the growing uncertainty and dissatisfaction in implementing Industry 4.0, new methods and tools that specifically address dedicated companies’ areas, such as logistics, supply chain management, and manufacturing processes, were developed to provide guidance and support to align companies’ business strategies and operations. In particular, this paper develops and presents the application of a maturity model for Logistics 4.0, focusing on the specific applications of Industry 4.0 in the area of logistics. To do so, extant maturity models, linked to the context of Industry 4.0 implementation in logistics processes, were examined in the main scientific research. Afterward, two companies have been investigated through a survey, built around three fundamental macro-aspects, named (i) the propensity of the company towards Industry 4.0 and Logistics 4.0, (ii) the current use of technologies in the logistics process, and (iii) the investments’ level towards Industry 4.0 technologies for a Logistics 4.0 transition. By doing so, a maturity model for Logistics 4.0 emerged as the main result of our research, able to identify the level of maturity of companies in implementing the Industry 4.0 technologies in their logistics processes. Moreover, the model highlighted the strengths and weaknesses of the two investigated companies with respect to the transition towards Logistics 4.0. On the basis of the obtained results, a roadmap for enhancing the digitalization of logistics processes, according to the principles of the fourth industrial revolution, was finally proposed.

Suggested Citation

  • Francesco Facchini & Joanna Oleśków-Szłapka & Luigi Ranieri & Andrea Urbinati, 2019. "A Maturity Model for Logistics 4.0: An Empirical Analysis and a Roadmap for Future Research," Sustainability, MDPI, vol. 12(1), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:86-:d:300470
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    References listed on IDEAS

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    Cited by:

    1. Nikolay Dragomirov, 2022. "Digital Transformation Perspectives in Warehousing – Initial Steps and Projections," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 133-153.
    2. Maja Trstenjak & Tihomir Opetuk & Hrvoje Cajner & Natasa Tosanovic, 2020. "Process Planning in Industry 4.0—Current State, Potential and Management of Transformation," Sustainability, MDPI, vol. 12(15), pages 1-25, July.
    3. Daniel Teso-Fz-Betoño & Ekaitz Zulueta & Ander Sánchez-Chica & Unai Fernandez-Gamiz & Aitor Saenz-Aguirre, 2020. "Semantic Segmentation to Develop an Indoor Navigation System for an Autonomous Mobile Robot," Mathematics, MDPI, vol. 8(5), pages 1-19, May.
    4. Danlian Li & Qian Cao & Min Zuo & Fei Xu, 2020. "Optimization of Green Fresh Food Logistics with Heterogeneous Fleet Vehicle Route Problem by Improved Genetic Algorithm," Sustainability, MDPI, vol. 12(5), pages 1-17, March.
    5. Jesus Gonzalez-Feliu & Mario Chong & Jorge Vargas-Florez & Irineu de Brito & Carlos Osorio-Ramirez & Eric Piatyszek & Renato Quiliche Altamirano, 2020. "The Maturity of Humanitarian Logistics against Recurrent Crises," Social Sciences, MDPI, vol. 9(6), pages 1-22, May.
    6. Koopo Kwon & Jaeryong So, 2023. "Future Smart Logistics Technology Based on Patent Analysis Using Temporal Network," Sustainability, MDPI, vol. 15(10), pages 1-17, May.

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