Use of Process Mining in ERPs: A model for the use of Process Mining techniques to improve ERPs usability
Autor(a) principal: | |
---|---|
Data de Publicação: | 2024 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/164641 |
Resumo: | Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics |
id |
RCAP_071bab2a09fb0dfa89af3aca71e998d6 |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/164641 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Use of Process Mining in ERPs: A model for the use of Process Mining techniques to improve ERPs usabilityProcess MiningERPAutomation TechnologiesData MiningSDG 8 - Decent work and economic growthSDG 12 - Responsible production and consumptionSDG 16 - Peace, justice and strong institutionsDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsEnterprise Resource Planning (ERP) Systems collect data and information across the enterprises, helping users and managers perform operations and processes more efficiently while also allowing for more informed decision making. Process Mining on the other hand is a specific technique of data mining that is process-centric and uses event data to provide a holistic view of the different processes. ERPs produce event log data suitable to be used in Process Mining to better understand the different processes of a particular business. This study presents a model that consists of an abstract representation of an architecture that efficiently integrates process mining techniques within the workflow on an ERP system improving its usability and increasing its value to the organizations. This research follows a design science research methodology to create an artifact through a systematic literature review that supports the design and development of a model considered to be the artifact. The possible applications of the model are demonstrated through a use case, and its evaluation is done recurring to interviews to experts. The model presents an alternative to integrate process mining into ERP systems that can be adopted by organizations and works as base ground to incorporate other technologies such as machine learning and robotic process automation (RPAs).Santos, Vítor Manuel Pereira Duarte dosRUNLucas, João Pedro Rolo2024-03-08T12:19:59Z2024-02-072024-02-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/164641TID:203546890enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:53:40Zoai:run.unl.pt:10362/164641Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:00:18.194190Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Use of Process Mining in ERPs: A model for the use of Process Mining techniques to improve ERPs usability |
title |
Use of Process Mining in ERPs: A model for the use of Process Mining techniques to improve ERPs usability |
spellingShingle |
Use of Process Mining in ERPs: A model for the use of Process Mining techniques to improve ERPs usability Lucas, João Pedro Rolo Process Mining ERP Automation Technologies Data Mining SDG 8 - Decent work and economic growth SDG 12 - Responsible production and consumption SDG 16 - Peace, justice and strong institutions Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
title_short |
Use of Process Mining in ERPs: A model for the use of Process Mining techniques to improve ERPs usability |
title_full |
Use of Process Mining in ERPs: A model for the use of Process Mining techniques to improve ERPs usability |
title_fullStr |
Use of Process Mining in ERPs: A model for the use of Process Mining techniques to improve ERPs usability |
title_full_unstemmed |
Use of Process Mining in ERPs: A model for the use of Process Mining techniques to improve ERPs usability |
title_sort |
Use of Process Mining in ERPs: A model for the use of Process Mining techniques to improve ERPs usability |
author |
Lucas, João Pedro Rolo |
author_facet |
Lucas, João Pedro Rolo |
author_role |
author |
dc.contributor.none.fl_str_mv |
Santos, Vítor Manuel Pereira Duarte dos RUN |
dc.contributor.author.fl_str_mv |
Lucas, João Pedro Rolo |
dc.subject.por.fl_str_mv |
Process Mining ERP Automation Technologies Data Mining SDG 8 - Decent work and economic growth SDG 12 - Responsible production and consumption SDG 16 - Peace, justice and strong institutions Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
topic |
Process Mining ERP Automation Technologies Data Mining SDG 8 - Decent work and economic growth SDG 12 - Responsible production and consumption SDG 16 - Peace, justice and strong institutions Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
description |
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-03-08T12:19:59Z 2024-02-07 2024-02-07T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/164641 TID:203546890 |
url |
http://hdl.handle.net/10362/164641 |
identifier_str_mv |
TID:203546890 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799138178554134528 |