A lean approach to robotic process automation in banking

Mamede, Henrique São; Martins, Carina Maria Gonçalves; Silva, Miguel Mira da

doi:10.1016/j.heliyon.2023.e18041

Cited by 5 publications

References 23 publications

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A Quantified Analysis of Lean First Then Automate for a Synergetic Effect

Urmee,

Hossain

2024

Engineering Reports

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Lean manufacturing has become a buzzword for the past few years due to its capability to reduce waste and make the system more efficient. To meet the numerous demands of consumers, companies are moving toward Industry 4.0, which can be accomplished through automation. Prior research demonstrated a conceptual integration of lean tools' effects into automation, but it lacked a quantitative analysis. The purpose of this study is to ascertain the effects of implementing lean tools prior to automation. To get real‐time data for the analysis of applying lean and automation, an empirical study was conducted on a manufacturing line. Using ARENA simulation software, four distinct simulation models were created using the data: the current assembly line model, the model with a lean tool (Inline Quality Check), the model with only automation, and the model with lean applied first and automation applied later. The productivity of the assembly line is used to compare the results. The comparative analysis demonstrated that applying lean tools prior to automation increases productivity in automated lines. This study could assist businesses understand that, before implementing automation, they should use lean technologies to improve system efficiency. An effective system can become considerably more efficient by being automated.

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A Quantified Analysis of Lean First Then Automate for a Synergetic Effect

Urmee,

Hossain

2024

Engineering Reports

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Advances in auditing and business continuity: A study in financial companies

Brás,

Pereira,

Fonseca

et al. 2024

Journal of Open Innovation: Technology, Market, and Complexity

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Climate Change Impact on Water Resources using Hydrological Modelling

Joshi,

Samatha,

Narsaiah

et al. 2024

E3S Web Conf.

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In order to understand the effects of continuous improvement techniques on water resources initiatives, process efficiency, equipment downtime, and hydrological modelling, this study synthesizes empirical data to examine the synchronized efficacy of these tactics. The results show that staff efficiency has increased, with an overall improvement of 10% and a significant 15% uptick in the Production division. Lean Water resources reduced waste by 12%, Six Sigma Implementation reduced defects by 18%, Predictive Maintenance reduced equipment downtime by 20%, and Supply Chain Optimization improved logistical efficiency by 10%; all of these initiatives demonstrated substantial positive outcomes as a result of continuous improvement. The efficacy of the techniques on reducing operational interruptions is shown by the equipment downtime log analysis, which shows a 25% decrease in downtime hours ascribed to Predictive Maintenance. Reductions of 15% in cycle times and 12% in defect rates are two examples of the impressive gains seen in process efficiency indicators. A complete optimization of water resources operations is shown by the cumulative percentage changes across projects and processes, which highlight the transforming power of strategic interventions. This research offers a path for businesses to create better productivity, resilience, and operational excellence by providing empirical insights into the interwoven symphony of continuous improvement.

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A lean approach to robotic process automation in banking

Cited by 5 publications

References 23 publications

A Quantified Analysis of Lean First Then Automate for a Synergetic Effect

A Quantified Analysis of Lean First Then Automate for a Synergetic Effect

Advances in auditing and business continuity: A study in financial companies

Climate Change Impact on Water Resources using Hydrological Modelling

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