@Inbook{,
							Cite-key = "Ullrich2022wgab", 
							Year= "2022", 
							 
							 Volume= "Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e. V.", 
							Pages= "115-143", 
							Journal   = "WGAB",
							 Title= "Advanced analytics applications in smart manufacturing – A systematic literature review on their perspectives, effects, and sustainability", 
							Author= "André Ullrich, Michael Buchmin
University of Potsdam, Germany", 
							Doi= "https://doi.org/10.30844/WGAB_2022_7", 
							 Abstract= "Advanced analytics applications in smart manufacturing provide beneficiary effects such as predictive maintenance, energy optimized factories, and automized quality management of products. While the benefits and thus the sustainability effects are well investigated, the research field is characterized by many single applications with little conceptual synthesis. Therefore, this research aims to systematize the field and to identify specific sustainability themes in context of advance analytics applications. This chapter provides an overview of existing advanced analytics applications in smart manufacturing and clusters the addressed sustainability themes. Applying a systematic literature review, following the PRISMA statement, 65 different applications within four research perspective could be identified. Furthermore, ten different sustainability-related effects of the applications in smart manufacturing unfold. The content analysis resulted in 27 sustainability themes, which holistically cover all spheres of sustainability, with a focus on the social and economic spheres.
", 
							 Keywords= "Advanced analytics, Smart manufacturing, Sustainability, Systematic literature review
", 
							}