TY - GEN
T1 - DIGITAL INTEGRATION OF ERP TO THE SENSOR NETWORK FOR BUSINESS OPTIMIZATION
AU - Sishi, Michael
AU - Telukdarie, Arnesh
N1 - Publisher Copyright:
Copyright, American Society for Engineering Management, 2022.
PY - 2022
Y1 - 2022
N2 - The advent trend to digitalization and fucus to achieve more with less resources have led to organizations seeking optimized systems architectures that drive the business from traditional standalone systems model to the connected and collaborative systems model. The connected systems model encompasses a variety of networking communication systems that integrate equipment, devices, and real-time information. This system of systems performs monitoring and controlling in order to maximize performance of participating systems, equipment, and devices. This research provides engineering managers and businesses with a novel framework to achieve a connected enterprise through the integration of systems operating in silos. The framework utilizes the sensor network to monitor data in different locations and sends this data to a central location for storage, viewing, and analysis. The framework further integrates data and systems vertically and horizontally based on the 4th Industrial Revolutions (4IR) principles. This framework ultimately yields the connected enterprise that integrates business from the sensors on the shopfloor to the Key Performance Indicators (KPIs) on the enterprise level. The connected enterprise enables the business to align each component of the enterprise level KPIs to data produced by the sensors. This allows business to pinpoint components of the integrated system that yield good performance and those components that yield poor performance. Moreover, this information yields informed decisions for business process optimization. The future work of this study would be the application of the framework in real world environments such as manufacturing or mining.
AB - The advent trend to digitalization and fucus to achieve more with less resources have led to organizations seeking optimized systems architectures that drive the business from traditional standalone systems model to the connected and collaborative systems model. The connected systems model encompasses a variety of networking communication systems that integrate equipment, devices, and real-time information. This system of systems performs monitoring and controlling in order to maximize performance of participating systems, equipment, and devices. This research provides engineering managers and businesses with a novel framework to achieve a connected enterprise through the integration of systems operating in silos. The framework utilizes the sensor network to monitor data in different locations and sends this data to a central location for storage, viewing, and analysis. The framework further integrates data and systems vertically and horizontally based on the 4th Industrial Revolutions (4IR) principles. This framework ultimately yields the connected enterprise that integrates business from the sensors on the shopfloor to the Key Performance Indicators (KPIs) on the enterprise level. The connected enterprise enables the business to align each component of the enterprise level KPIs to data produced by the sensors. This allows business to pinpoint components of the integrated system that yield good performance and those components that yield poor performance. Moreover, this information yields informed decisions for business process optimization. The future work of this study would be the application of the framework in real world environments such as manufacturing or mining.
KW - Business Optimization
KW - Enterprise Resource Planning
KW - Industry 4.0
KW - Key Performance Indicators
UR - http://www.scopus.com/inward/record.url?scp=85149167043&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85149167043
T3 - ASEM 43rd International Annual Conference Proceedings
SP - 407
EP - 415
BT - ASEM 43rd International Annual Conference Proceedings
A2 - Natarajan, G.
A2 - Ng, E.H.
A2 - Katina, P.F.
A2 - Zhang, H.
PB - American Society for Engineering Management
T2 - 43rd International Annual Conference of the American Society for Engineering Management, ASEM 2022
Y2 - 5 October 2022 through 8 October 2022
ER -