Improved root cause analysis supporting resilient production systems

Manufacturing companies struggle to be efficient and effective when conducting root cause analyses of production disturbances; a fact which hinders them from creating developing resilient systems. This article aims describe the challenges enablers identified in current research relating different phases analysis. A systematic literature review was conducted, total 14 17 are described. These correlate Examples “need for expertise”, “employee bias”, “poor data quality” “lack integration”, among others. “visualisation tools”, “collaborative platforms”, “thesaurus” “machine learning techniques”. Based on these findings, authors also propose potential areas further then design inputs new solutions improve provides theoretical contribution that it describes analysis their correlation creation The practical contributions, with an overview support practitioners gaining insights into implemented developed, aim improving • related process described article. integration”. Four main focus suggested agenda: (1) use diverse datasets process, (2) collaboration outside manufacturing – development collaborative platforms, (3) holistic architectures, (4) employees process.