Abstract
• A guideline has been formulated for managing business processes in the field of I4.0. • BPM life cycle of I4.0 technologies should utilize data-driven development tools. • Business Process Management (BPM) can be improved by data-driven tools and methods. • Decision support tools, data analytics systems and standards should be integrated. • The CRISP-DM/ML standards improve the BPM life cycles of Industry 4.0 solutions. Business process management (BPM) supports the management and transformation of organizational operations. This paper provides a structured guideline for improving data-based process development within the BPM life cycle. We show how Industry 4.0-induced tools and models can be integrated within the BPM life cycle to achieve more efficient process excellence and evidence-based decision-making. The paper demonstrates how standards of machine learning (CRISP-ML(Q)), BPM, and tools of design science research can support the redesign phases of Industry 4.0 development. The proposed methodology is carried out on an assembly company, where the proposed improvement steps are investigated by simulation and evaluated by relevant key performance indicators.
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