Robotization of Training Enrolment Process in a Continuous Improvement Department of a Retail Company

Barbosa, Diogo; Cardoso, João; Alves, Anabela; Mota, Rui; Marques, Cláudia

doi:10.1007/978-3-031-38165-2_51

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…the scale of implementation, the degree of existing staff retraining needed, the risk of “process knowledge loss” by RPA-based employee-replacing implementations, etc.) (Barbosa et al. , 2023; Mirispelakotuwa et al.…”

Section: Literature Reviewmentioning

confidence: 99%

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: Literature Reviewmentioning

confidence: 99%