A focus on sustainability, resilience, and human-centricity is necessary to implement the global vision of Industry 5.0. However, assessing the readiness of these pillars within the business processes of an organization remains a significant challenge. This paper addresses this gap by providing a comprehensive and process-based maturity model in Industry 5.0 context. The model adopts a top-down approach assessing the maturity of business processes at different layers and focusing on the formalization of practices and their correlation with maturity levels. The applicability of the model is demonstrated through its instantiation to the supply chain process category, with a focus on the schedule production process. Furthermore, the paper explores the integration of AI-based techniques to automate the creation of maturity grids and streamline the assessment process. Overall, the results of this paper highlight the prescriptive characteristic of the proposed maturity model, providing a robust framework to guide organizations towards a step-by-step transition through the Industry 5.0 vision.

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Towards a Process-Based Industry 5.0 Maturity Model: A Feasibility Study in Supply Chain

  • Sara Himmiche,
  • Jean-Luc Maire,
  • Jose-Fernando Jimenez,
  • Magali Pralus,
  • Laurent Tabourot

摘要

A focus on sustainability, resilience, and human-centricity is necessary to implement the global vision of Industry 5.0. However, assessing the readiness of these pillars within the business processes of an organization remains a significant challenge. This paper addresses this gap by providing a comprehensive and process-based maturity model in Industry 5.0 context. The model adopts a top-down approach assessing the maturity of business processes at different layers and focusing on the formalization of practices and their correlation with maturity levels. The applicability of the model is demonstrated through its instantiation to the supply chain process category, with a focus on the schedule production process. Furthermore, the paper explores the integration of AI-based techniques to automate the creation of maturity grids and streamline the assessment process. Overall, the results of this paper highlight the prescriptive characteristic of the proposed maturity model, providing a robust framework to guide organizations towards a step-by-step transition through the Industry 5.0 vision.