A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing

Fueled by increasing data availability and the rise of technological advances for processing communication, business analytics is a key driver smart manufacturing. However, due to multitude different local as well its multidisciplinary complexity, both researchers practitioners struggle keep track progress acquire new knowledge within field, there lack holistic conceptualization. To address this issue, we performed an extensive structured literature review, yielding 904 relevant hits, develop quadripartite taxonomy derive archetypes in The comprises following meta-characteristics: application domain, orientation objective analysis, origins, analysis techniques. Collectively, they comprise eight dimensions with total 52 distinct characteristics. Using cluster found six that represent synthesis existing on planning, maintenance (reactive, offline, online predictive), monitoring, quality management. A temporal highlights push beyond predictive approaches confirms deep learning already dominates novel applications. Our results constitute entry point field but can also serve reference work guide which assess adequacy one's own instruments.