DIGITAL INTEGRATION OF ERP TO THE SENSOR NETWORK FOR BUSINESS OPTIMIZATION

Michael Sishi, Arnesh Telukdarie

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationASEM 43rd International Annual Conference Proceedings
EditorsG. Natarajan, E.H. Ng, P.F. Katina, H. Zhang
PublisherAmerican Society for Engineering Management
Pages407-415
Number of pages9
ISBN (Electronic)9798985333428
Publication statusPublished - 2022
Event43rd International Annual Conference of the American Society for Engineering Management, ASEM 2022 - Tampa/Virtual, United States
Duration: 5 Oct 20228 Oct 2022

Publication series

NameASEM 43rd International Annual Conference Proceedings

Conference

Conference43rd International Annual Conference of the American Society for Engineering Management, ASEM 2022
Country/TerritoryUnited States
CityTampa/Virtual
Period5/10/228/10/22

Keywords

  • Business Optimization
  • Enterprise Resource Planning
  • Industry 4.0
  • Key Performance Indicators

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Strategy and Management
  • Information Systems and Management

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