International Standard ISO 9001 - An Artificial Intelligence View

Bibliographic Details
Main Author: Neves, José
Publication Date: 2015
Other Authors: Fernandes, Ana, Gomes, Guida, Neves, Mariana, Abelha, António, Vicente, Henrique
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10174/14889
https://doi.org/10.5220/0005328904210428
Summary: ISO 9001 is recognized as a Quality Management Systems standard, i.e., it is the primary phase of a process of constant enhancement that will provide an organisation with the necessary management tools to improve working practices. Indeed, it provides a framework and a set of principles aimed at ensuring a common sense approach to the management of an organization in order to consistently satisfy customers and other stakeholders. Therefore, and in order to add value to ISO 9001, this work focuses on the development of a decision support system, which will allow companies to be able to meet the needs of customers by fulfilling requirements that reflect either the effectiveness or the non-effectiveness of an organization. The procedures for knowledge representation and reasoning used are based on an extension to the Logic Programming language, allowing the handling of incomplete, contradictory and even forbidden data, information and/or knowledge. The computational framework is centred on Artificial Neural Networks to evaluate customer’s satisfaction and the degree of confidence that one has on such a happening.
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spelling International Standard ISO 9001 - An Artificial Intelligence ViewInternational Standard ISO 9001Knowledge Representation and ReasoningLogic ProgrammingArtificial Neural NetworksISO 9001 is recognized as a Quality Management Systems standard, i.e., it is the primary phase of a process of constant enhancement that will provide an organisation with the necessary management tools to improve working practices. Indeed, it provides a framework and a set of principles aimed at ensuring a common sense approach to the management of an organization in order to consistently satisfy customers and other stakeholders. Therefore, and in order to add value to ISO 9001, this work focuses on the development of a decision support system, which will allow companies to be able to meet the needs of customers by fulfilling requirements that reflect either the effectiveness or the non-effectiveness of an organization. The procedures for knowledge representation and reasoning used are based on an extension to the Logic Programming language, allowing the handling of incomplete, contradictory and even forbidden data, information and/or knowledge. The computational framework is centred on Artificial Neural Networks to evaluate customer’s satisfaction and the degree of confidence that one has on such a happening.Scitepress - Science and Technology Publications2015-08-11T14:20:27Z2015-08-112015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/14889http://hdl.handle.net/10174/14889https://doi.org/10.5220/0005328904210428engNeves, J., Fernandes, A., Gomes G., Neves, M., Abelha A. & Vicente, H., International Standard ISO 9001 - An Artificial Intelligence View. In S. Hammoudi, L. Maciaszek & E. Teniente Eds., Proceedings of the 17th International Conference on Enterprise Information Systems (ICEIS 2015), Vol. I, pp. 421-428, Scitepress – Science and Technology Publications, Lisbon, 2015.978-989-758-096-3http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0005328904210428IDQUIjneves@di.uminho.ptanavilafernades@gmail.commguida.mgomes@gmail.commaneves@deloitte.co.ukabelha@di.uminho.pthvicente@uevora.ptProceedings of the 17th International Conference on Enterprise Information SystemsNeves, JoséFernandes, AnaGomes, GuidaNeves, MarianaAbelha, AntónioVicente, Henriqueinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-01-03T19:01:09Zoai:dspace.uevora.pt:10174/14889Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T12:06:47.997136Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv International Standard ISO 9001 - An Artificial Intelligence View
title International Standard ISO 9001 - An Artificial Intelligence View
spellingShingle International Standard ISO 9001 - An Artificial Intelligence View
Neves, José
International Standard ISO 9001
Knowledge Representation and Reasoning
Logic Programming
Artificial Neural Networks
title_short International Standard ISO 9001 - An Artificial Intelligence View
title_full International Standard ISO 9001 - An Artificial Intelligence View
title_fullStr International Standard ISO 9001 - An Artificial Intelligence View
title_full_unstemmed International Standard ISO 9001 - An Artificial Intelligence View
title_sort International Standard ISO 9001 - An Artificial Intelligence View
author Neves, José
author_facet Neves, José
Fernandes, Ana
Gomes, Guida
Neves, Mariana
Abelha, António
Vicente, Henrique
author_role author
author2 Fernandes, Ana
Gomes, Guida
Neves, Mariana
Abelha, António
Vicente, Henrique
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Neves, José
Fernandes, Ana
Gomes, Guida
Neves, Mariana
Abelha, António
Vicente, Henrique
dc.subject.por.fl_str_mv International Standard ISO 9001
Knowledge Representation and Reasoning
Logic Programming
Artificial Neural Networks
topic International Standard ISO 9001
Knowledge Representation and Reasoning
Logic Programming
Artificial Neural Networks
description ISO 9001 is recognized as a Quality Management Systems standard, i.e., it is the primary phase of a process of constant enhancement that will provide an organisation with the necessary management tools to improve working practices. Indeed, it provides a framework and a set of principles aimed at ensuring a common sense approach to the management of an organization in order to consistently satisfy customers and other stakeholders. Therefore, and in order to add value to ISO 9001, this work focuses on the development of a decision support system, which will allow companies to be able to meet the needs of customers by fulfilling requirements that reflect either the effectiveness or the non-effectiveness of an organization. The procedures for knowledge representation and reasoning used are based on an extension to the Logic Programming language, allowing the handling of incomplete, contradictory and even forbidden data, information and/or knowledge. The computational framework is centred on Artificial Neural Networks to evaluate customer’s satisfaction and the degree of confidence that one has on such a happening.
publishDate 2015
dc.date.none.fl_str_mv 2015-08-11T14:20:27Z
2015-08-11
2015-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/14889
http://hdl.handle.net/10174/14889
https://doi.org/10.5220/0005328904210428
url http://hdl.handle.net/10174/14889
https://doi.org/10.5220/0005328904210428
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Neves, J., Fernandes, A., Gomes G., Neves, M., Abelha A. & Vicente, H., International Standard ISO 9001 - An Artificial Intelligence View. In S. Hammoudi, L. Maciaszek & E. Teniente Eds., Proceedings of the 17th International Conference on Enterprise Information Systems (ICEIS 2015), Vol. I, pp. 421-428, Scitepress – Science and Technology Publications, Lisbon, 2015.
978-989-758-096-3
http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0005328904210428
I
DQUI
jneves@di.uminho.pt
anavilafernades@gmail.com
mguida.mgomes@gmail.com
maneves@deloitte.co.uk
abelha@di.uminho.pt
hvicente@uevora.pt
Proceedings of the 17th International Conference on Enterprise Information Systems
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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