Performance Analysis Method for Robotic Process Automation

Rosa Virginia Encinas Quille, Felipe Valencia de Almeida, Joshua Borycz, Pedro Luiz Pizzigatti Corrêa, Lucia Vilela Leite Filgueiras, Jeaneth Machicao, Gustavo Matheus de Almeida, Edson Toshimi Midorikawa, Vanessa Rafaela de Souza Demuner, John Alexander Ramirez Bedoya and Bruna Vajgel
Additional contact information
Rosa Virginia Encinas Quille: School of Arts, Sciences and Humanities, University of São Paulo, Rua Arlindo Béttio, 1000-Ermelino Matarazzo, São Paulo 03828-000, Brazil
Felipe Valencia de Almeida: Polytechnic School, University of São Paulo, Av. Prof. Luciano Gualberto, 380-Butantã, São Paulo 05508-010, Brazil
Joshua Borycz: Sarah Shannon Stevenson Science and Engineering Library, College of Arts and Sciences, Vanderbilt University, Nashville, TN 37212, USA
Pedro Luiz Pizzigatti Corrêa: School of Arts, Sciences and Humanities, University of São Paulo, Rua Arlindo Béttio, 1000-Ermelino Matarazzo, São Paulo 03828-000, Brazil
Lucia Vilela Leite Filgueiras: Polytechnic School, University of São Paulo, Av. Prof. Luciano Gualberto, 380-Butantã, São Paulo 05508-010, Brazil
Jeaneth Machicao: Polytechnic School, University of São Paulo, Av. Prof. Luciano Gualberto, 380-Butantã, São Paulo 05508-010, Brazil
Gustavo Matheus de Almeida: Department of Chemical Engineering, Federal University of Minas Gerais, Pampulha, Belo Horizonte 31270-901, Brazil
Edson Toshimi Midorikawa: Polytechnic School, University of São Paulo, Av. Prof. Luciano Gualberto, 380-Butantã, São Paulo 05508-010, Brazil
Vanessa Rafaela de Souza Demuner: EdP Brazil, Avenida Presidente Juscelino Kubitschek, São Paulo 04543-011, Brazil
John Alexander Ramirez Bedoya: EdP Brazil, Avenida Presidente Juscelino Kubitschek, São Paulo 04543-011, Brazil
Bruna Vajgel: Ernst & Young, Praia de Botafogo 370, 6 Andar, Botafogo, Rio de Janeiro 22250-040, Brazil

Sustainability, 2023, vol. 15, issue 4, 1-19

Abstract: Recent studies show that decision making in Business Process Management (BPM) and incorporating sustainability in business is vital for service innovation within a company. Likewise, it is also possible to save time and money in an automated, intelligent and sustainable way. Robotic Process Automation (RPA) is one solution that can help businesses improve their BPM and sustainability practices through digital transformation. However, deciding which processes to automate with RPA technology can be complex. Consequently, this paper presents a model for selecting indicators to determine the profitability of shifting to RPA in selected business processes. The method used in this work is the Performance Analysis Method, which allows for predicting which processes could be replaced by RPA to save time and money in a service workflow. The Performance Analysis Method consists of collecting data on the speed and efficiency of a business process and then using that data to develop discrete event simulations to estimate the cost of automating parts of that process. A case study using this model is presented, using business process data from an international utility company as input to the discrete event simulation. The model used in this study predicts that this Electric Utility Company (EUC) will save a substantial amount of money if it implements RPA in its call center.

Keywords: RPA; performance analysis modeling; robotic automation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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