The increasing complexity of the manufacturing environment, its products, and processes is leading to a surge in disruptions for manufacturing companies. Despite the growing availability of data, companies are struggling to manage these disruptions and utilize the data for proactive production planning and control (PPC). This article describes an extensive systematic literature review, semi-structured expert interviews, and an expert workshop which were performed in order to gain a deeper understanding of disruptions and their impact on PPC. The outcome is a categorization of disruptions and their corresponding mitigation decisions. Additionally, this article presents an overview of disruption data sources that enable manufacturing companies to detect disruptions in existing IT systems or collect data in the proposed systems to proactively adapt to disruptions, optimize the PPC, and increase the production system’s resilience.

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Towards a Data-Driven and Proactive Disruption Management in Production Planning and Control

  • Julian Stang,
  • Jan Joppien,
  • Michael F. Zaeh

摘要

The increasing complexity of the manufacturing environment, its products, and processes is leading to a surge in disruptions for manufacturing companies. Despite the growing availability of data, companies are struggling to manage these disruptions and utilize the data for proactive production planning and control (PPC). This article describes an extensive systematic literature review, semi-structured expert interviews, and an expert workshop which were performed in order to gain a deeper understanding of disruptions and their impact on PPC. The outcome is a categorization of disruptions and their corresponding mitigation decisions. Additionally, this article presents an overview of disruption data sources that enable manufacturing companies to detect disruptions in existing IT systems or collect data in the proposed systems to proactively adapt to disruptions, optimize the PPC, and increase the production system’s resilience.