TY - JOUR
T1 - Cyber-physical production system approach for energy and resource efficient planning and operation of plating process chains
AU - Leiden, Alexander
AU - Herrmann, Christoph
AU - Thiede, Sebastian
N1 - Funding Information:
The authors thank the German Federal Ministry for Economic Affairs and Energy for supporting the project ?REOnet ? Gro?Auto/Analyse und Bewertung kritischer Prozessparamenter f?r die stabile und effiziente Prozessf?hrung elektrochemischer Beschichtungsverfahren? (grant ID: 16KN043734) and the German Federal Ministry of Education and Research for supporting the project ?SmARtPlaS - Intelligente Dienstleistungen f?r Augmented Reality gest?tzte Produktionsprozesse zur Oberfl?chenbeschichtung? (grant ID: 02K18D115). They also thank the project partners for their support, especially in conducting this case study.
Funding Information:
The authors thank the German Federal Ministry for Economic Affairs and Energy for supporting the project “REOnet – GroβAuto/Analyse und Bewertung kritischer Prozessparamenter für die stabile und effiziente Prozessführung elektrochemischer Beschichtungsverfahren” (grant ID: 16KN043734) and the German Federal Ministry of Education and Research for supporting the project "SmARtPlaS - Intelligente Dienstleistungen für Augmented Reality gestützte Produktionsprozesse zur Oberflächenbeschichtung" (grant ID: 02K18D115 ). They also thank the project partners for their support, especially in conducting this case study.
Publisher Copyright:
© 2020 The Author(s)
PY - 2021/1/20
Y1 - 2021/1/20
N2 - Plating process chains are characterized by a high specific energy and resource demand as well as a high complexity due to dynamic interdependencies between and within processing steps. Planning and operating plating process chains should focus on aspects from cleaner production such as a high energy and resource efficiency, low impacts on the environment as well as on economic aspects. A high process transparency is required to meet these objectives and to evaluate the effects of improvement measures. An energy and resource flow simulation can support this by providing a fully parameterizable digital twin of the physical plating line. This simulation is integrated into a cyber-physical production system approach and connected to the IT environment of the plating company for the simulation of real scenarios. For the parameterization of the energy model, continuous and temporal measurements are combined systematically while the resource flow model is parameterized through information from the manufacturing IT systems. The successful implementation at a job plating company with an industrial acid zinc-nickel plating line indicated reachable electricity and resource savings of up to 10% in four scenarios. The electricity and plating metal demand was allocated to single carriers and products as basis for a product-based environmental and economic analysis. Especially in case of different carrier load levels, the energy and resource demand per product varies significant. The developed approach and its successful implementation emphasizes the need of a high process transparency for planning and operating plating process chains to accelerate the shift towards cleaner production.
AB - Plating process chains are characterized by a high specific energy and resource demand as well as a high complexity due to dynamic interdependencies between and within processing steps. Planning and operating plating process chains should focus on aspects from cleaner production such as a high energy and resource efficiency, low impacts on the environment as well as on economic aspects. A high process transparency is required to meet these objectives and to evaluate the effects of improvement measures. An energy and resource flow simulation can support this by providing a fully parameterizable digital twin of the physical plating line. This simulation is integrated into a cyber-physical production system approach and connected to the IT environment of the plating company for the simulation of real scenarios. For the parameterization of the energy model, continuous and temporal measurements are combined systematically while the resource flow model is parameterized through information from the manufacturing IT systems. The successful implementation at a job plating company with an industrial acid zinc-nickel plating line indicated reachable electricity and resource savings of up to 10% in four scenarios. The electricity and plating metal demand was allocated to single carriers and products as basis for a product-based environmental and economic analysis. Especially in case of different carrier load levels, the energy and resource demand per product varies significant. The developed approach and its successful implementation emphasizes the need of a high process transparency for planning and operating plating process chains to accelerate the shift towards cleaner production.
KW - Agent-based simulation
KW - Cyber-physical production system
KW - Energy and resource efficiency
KW - Plating process chain
KW - Sustainability
UR - http://www.scopus.com/inward/record.url?scp=85096880581&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2020.125160
DO - 10.1016/j.jclepro.2020.125160
M3 - Article
AN - SCOPUS:85096880581
SN - 0959-6526
VL - 280
JO - Journal of cleaner production
JF - Journal of cleaner production
IS - Part 2
M1 - 125160
ER -