Artificial Intelligence in the process industries – technology overview, case studies, and success factors

This article explores the role of artificial intelligence (AI) in the process industries such as the chemical and pharmaceutical industry. We start by classifying the most prominent technologies comprised under the generic term of AI, define them, and delineate their applicability in various functio...

Verfasser: Stoffels, Marius Alexander
Smolnik, Tim
Hedtke, Christin
Dokumenttypen:Artikel
Medientypen:Text
Erscheinungsdatum:2019
Publikation in MIAMI:19.12.2019
Datum der letzten Änderung:19.12.2019
Quelle:Journal of Business Chemistry, 16 (2019) 1, S. 41-53
Verlag/Hrsg.: Institut für betriebswirtschaftliches Management im Fachbereich Chemie und Pharmazie
Angaben zur Ausgabe:[Electronic ed.]
Fachgebiet (DDC):330: Wirtschaft
Lizenz:InC 1.0
Sprache:Englisch
Anmerkungen:Section "Research Paper"
Format:PDF-Dokument
URN:urn:nbn:de:hbz:6-55199638939
Weitere Identifikatoren:DOI: 10.17879/55199636345
Permalink:https://nbn-resolving.de/urn:nbn:de:hbz:6-55199638939
Onlinezugriff:jbc_2019_16_1_41-53.pdf

This article explores the role of artificial intelligence (AI) in the process industries such as the chemical and pharmaceutical industry. We start by classifying the most prominent technologies comprised under the generic term of AI, define them, and delineate their applicability in various functions along the organizational value chain. Further, we illustrate the boundary conditions for AI application by describing what data are required to initiate and sustain the ”intelligence” of algorithms. We continue with thought-provoking case studies that exemplify the status quo and possible future applications of AI in the chemical and pharmaceutical industry. Based on academic insights, we discuss potential barriers and pitfalls that firms might face while integrating AI into their business processes and present remedies.