Article: How to improve operational processes using Monte Carlo simulation Journal: International Journal of Process Management and Benchmarking (IJPMB) 2022 Vol.12 No.6 pp.679 - 694 Abstract: The banking industry is changing; the future will integrate disruptive technologies which will make possible to transform their business. Between these transformations, the simulation process is seen as a considerable achievement and increment in the sector of credit request. In this research, a simulation process based in the Monte Carlo method was applied to several credit card requests in order to measure efficiency of credit process based, initially, in a normal distribution and to reproduce several scenarios and choose the one which fits better with the credit process needs. This model aims to identify the main points of deviations and perceive their respective causes. The findings of this study allowed to measure the number of full time equivalent allocated to these processes through the amount of credits requested daily. Throughout the execution of this methodology, it is possible to measure the process with considerable accuracy (AS-IS) and to understand the benefits associated with the implementation of such solution. In the end, the process of credit request has become more effective due to the process optimisation and at the same time, reduced the complexity inherent to the credit card requests. Inderscience Publishers - linking academia, business and industry through research

Title: How to improve operational processes using Monte Carlo simulation

Authors: Leandro Pereira; José Santos; Carlos Jerónimo; Ricardo Santos

Addresses: ISCTE – Instituto Universitário de Lisboa, WINNING Lab, Lisbon, Portugal ' WINNING Lab, Alameda das Linhas de Torres 152 Escritório 14, 1750-149 Lisboa, Portugal ' ISCTE – Instituto Universitário de Lisboa, WINNING Lab, Lisbon, Portugal ' WINNING Lab, Alameda das Linhas de Torres 152 Escritório 14, 1750-149 Lisboa, Portugal

Abstract: The banking industry is changing; the future will integrate disruptive technologies which will make possible to transform their business. Between these transformations, the simulation process is seen as a considerable achievement and increment in the sector of credit request. In this research, a simulation process based in the Monte Carlo method was applied to several credit card requests in order to measure efficiency of credit process based, initially, in a normal distribution and to reproduce several scenarios and choose the one which fits better with the credit process needs. This model aims to identify the main points of deviations and perceive their respective causes. The findings of this study allowed to measure the number of full time equivalent allocated to these processes through the amount of credits requested daily. Throughout the execution of this methodology, it is possible to measure the process with considerable accuracy (AS-IS) and to understand the benefits associated with the implementation of such solution. In the end, the process of credit request has become more effective due to the process optimisation and at the same time, reduced the complexity inherent to the credit card requests.

Keywords: simulation process; Monte Carlo; banking; credit card.

DOI: 10.1504/IJPMB.2022.125845

International Journal of Process Management and Benchmarking, 2022 Vol.12 No.6, pp.679 - 694

Received: 18 Sep 2020
Accepted: 23 Nov 2020
Published online: 30 Sep 2022 *

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Title: How to improve operational processes using Monte Carlo simulation

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