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Abstract Manufacturing companies need to produce increasingly individualised products in shorter time to stay competitive. However, production ramp-ups are often poorly executed and fail to meet their targets. During ramp-up, there is a lack of sufficient data to base decisions on and managers fly blind. The emergence of Industry 4.0 promised real-time data-based decision-making but is not yet exploited during production ramp-up due to this data gap. This systematic literature review addresses this gap by identifying methods since 2011 to close this production ramp-up data gap by following the Preferred Reporting Items for Systematic reviews and Meta-Analyses statement. The reports included in the review are categorised according to manufacturing process, ramp-up field of action, and production system level. We found a lack of designated data models for production ramp-up, mostly unsystematic approaches for dealing with small amounts of data and general barriers to deploying Industry 4.0 solutions during the ramp-up phase. Finally, we infer that the research and industry communities should share more data and models to validate systems and tools.
Haller et al. (Fri,) studied this question.