TY - JOUR
T1 - Enabling smart manufacturing through a systematic planning framework for edge computing
AU - Zietsch, Jakob
AU - Vogt, Marcus
AU - Lee, Benjamin D.
AU - Herrmann, Christoph
AU - Thiede, Sebastian
PY - 2020/11
Y1 - 2020/11
N2 - In the context of the fourth industrial revolution, an increasing number of advances in manufacturing result from smart integration of information technology (IT) and data-driven solutions in factories. An essential limiting factor for improvements is the capability of the IT system. In addition to the IT hardware specifications, the choice of an appropriate IT architecture (Cloud, Fog, or Edge Computing driven) determines the overall investment, environmental impact, and resulting net benefit. This article presents a comprehensive systematic approach that seeks to support the choice of an appropriate IT infrastructure. It is deliberately aimed at supporting especially non-IT experts, guiding the practitioner through a multi-phase process. The approach is applied to an exemplary use case in the field of industrial technical building equipment, but can also be applied to any application case involving the planning of the IT infrastructure in a manufacturing context. The results illustrate the applicability and the potential of appropriately selecting a suitable IT infrastructure.
AB - In the context of the fourth industrial revolution, an increasing number of advances in manufacturing result from smart integration of information technology (IT) and data-driven solutions in factories. An essential limiting factor for improvements is the capability of the IT system. In addition to the IT hardware specifications, the choice of an appropriate IT architecture (Cloud, Fog, or Edge Computing driven) determines the overall investment, environmental impact, and resulting net benefit. This article presents a comprehensive systematic approach that seeks to support the choice of an appropriate IT infrastructure. It is deliberately aimed at supporting especially non-IT experts, guiding the practitioner through a multi-phase process. The approach is applied to an exemplary use case in the field of industrial technical building equipment, but can also be applied to any application case involving the planning of the IT infrastructure in a manufacturing context. The results illustrate the applicability and the potential of appropriately selecting a suitable IT infrastructure.
KW - Decision support system
KW - Edge computing
KW - IT infrastructure
KW - IT resource planning
KW - 22/2 OA procedure
UR - http://www.scopus.com/inward/record.url?scp=85088051156&partnerID=8YFLogxK
U2 - 10.1016/j.cirpj.2020.06.010
DO - 10.1016/j.cirpj.2020.06.010
M3 - Article
AN - SCOPUS:85088051156
SN - 1755-5817
VL - 31
SP - 351
EP - 369
JO - CIRP journal of manufacturing science and technology
JF - CIRP journal of manufacturing science and technology
ER -