TY - GEN
T1 - BUSINESS PROCESS REENGINEERING FOR PROCESS OPTIMIZATION
T2 - 43rd International Annual Conference of the American Society for Engineering Management, ASEM 2022
AU - Medoh, Chuks
AU - Alfred, Muchairi
AU - Telukdarie, Arnesh
N1 - Publisher Copyright:
Copyright, American Society for Engineering Management, 2022.
PY - 2022
Y1 - 2022
N2 - The manufacturing industry's business processes and activities are now limited due to a lack of seamless integration, value-driven processes, business information, and dynamic optimization. To bridge the gap between traditional business operations and industry 4.0 smart processes, Industry 4.0 requires self-optimization, autonomous operation, and smart systems. Robotic Process Automation (RPA) is utilized in this study to optimize Business Process (BP) through Business Process Reengineering (BPR) to understand the effects of industry 4.0 smart processes on our current processes. To this end, this study conducted validation of process eligibility of RPA implementation, evaluation of potential, importance, and classification of processes is done to analyze current processes prior to applying RPA through simulation and modelling. The results indicate that the weights of the parameters such as transaction volume, FTE savings, time taken per run, and sub-activities had high percentiles in the proposed model in comparison to the current model. The study concluded that, straightforward processes should be automated using RPA, whereas complex processes should be automated using semi-automation.
AB - The manufacturing industry's business processes and activities are now limited due to a lack of seamless integration, value-driven processes, business information, and dynamic optimization. To bridge the gap between traditional business operations and industry 4.0 smart processes, Industry 4.0 requires self-optimization, autonomous operation, and smart systems. Robotic Process Automation (RPA) is utilized in this study to optimize Business Process (BP) through Business Process Reengineering (BPR) to understand the effects of industry 4.0 smart processes on our current processes. To this end, this study conducted validation of process eligibility of RPA implementation, evaluation of potential, importance, and classification of processes is done to analyze current processes prior to applying RPA through simulation and modelling. The results indicate that the weights of the parameters such as transaction volume, FTE savings, time taken per run, and sub-activities had high percentiles in the proposed model in comparison to the current model. The study concluded that, straightforward processes should be automated using RPA, whereas complex processes should be automated using semi-automation.
KW - Business process reengineering
KW - Discrete event simulation
KW - Industry 4.0
KW - Optimization
KW - Robotic process automation
UR - http://www.scopus.com/inward/record.url?scp=85149176570&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85149176570
T3 - ASEM 43rd International Annual Conference Proceedings
SP - 166
EP - 175
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
Y2 - 5 October 2022 through 8 October 2022
ER -
