A Lean Approach to Robotic Process Automation

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

doi:10.2139/ssrn.4391981

Cited by 1 publication

(2 citation statements)

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“…, 2021) is complemented, by also demonstrating the importance of continuous improvement methodology for RPA implementations in financial service operations . Finally, prior research showcasing the value of RPA for lean management based process waste eliminations (Gradim and Teixeira, 2022; Martins et al. , 2023) is complemented, by demonstratively providing evidence for the bi-directional synergetic effect of LSS-based problem solving in the context of RPA implementation.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, explorative empirical research on RPA implementation emerged, addressing for instance the importance of continuous improvement after RPA deployment in high-variability logistics’ business settings (Krakau et al. , 2021) and the value of RPA for lean management based process waste elimination (Gradim and Teixeira, 2022; Martins et al. , 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

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The implementation of Lean Six Sigma for the optimization of robotic process automation systems in financial service operations

Lameijer,

de Vries,

Antony

et al. 2024

BPMJ

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PurposeMany organizations currently transition towards digitalized process design, execution, control, assurance and improvement, and the purpose of this research is to empirically demonstrate how data-based operational excellence techniques are useful in digitalized environments by means of the optimization of a robotic process automation deployment.Design/methodology/approachAn interpretive mixed-method case study approach comprising both secondary Lean Six Sigma (LSS) project data together with participant-as-observer archival observations is applied. A case report, comprising per DMAIC phase (1) the objectives, (2) the main deliverables, (3) the results and (4) the key actions leading to achieving the presented results is presented.FindingsKey findings comprise (1) the importance of understanding how to acquire and prepare large system generated data and (2) the need for better large system-generated database validation mechanisms. Finally (3) the importance of process contextual understanding of the LSS project lead is emphasized, together with (4) the need for LSS foundational curriculum developments in order to be effective in digitalized environments.Originality/valueThis study provides a rich prescriptive demonstration of LSS methodology implementation for RPA deployment improvement, and is one of the few empirical demonstrations of LSS based problem solving methodology in industry 4.0 contexts.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%