Initial Electronic Spare Parts Stock and Consumption Forecasting

Detalhes bibliográficos
Autor(a) principal: NEVES,Guilherme
Data de Publicação: 2008
Outros Autores: DIALLO,Madiagne, LUSTOSA,Leonardo Junqueira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S0874-51612008000100004
Resumo: There is a consensus that conventional continuous demand distribution methods are not appropriate for forecasting replacement parts. However, many forecasting tools available in market still use them. This work presents an application of the Poisson distribution to forecast the needs of electronic spare parts. Using basic stock management notions and usual concepts of reliability, availability and the Poisson process, an alternative method is proposed for sizing the initial stock of replacement parts to be purchased along with a electronic equipment. The results from the application of the proposed method and its comparison to the SAGA method, which is based on time series and normal distribution, are presented. The analyses of results have shown that it is possible to reduce the forecast errors; hence the stock costs, and the number of stockouts, thus enhancing the operational availability.
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spelling Initial Electronic Spare Parts Stock and Consumption ForecastingReplacement partssparesforecaststock managementsupplytime seriesavailabilityreliabilityPoissonThere is a consensus that conventional continuous demand distribution methods are not appropriate for forecasting replacement parts. However, many forecasting tools available in market still use them. This work presents an application of the Poisson distribution to forecast the needs of electronic spare parts. Using basic stock management notions and usual concepts of reliability, availability and the Poisson process, an alternative method is proposed for sizing the initial stock of replacement parts to be purchased along with a electronic equipment. The results from the application of the proposed method and its comparison to the SAGA method, which is based on time series and normal distribution, are presented. The analyses of results have shown that it is possible to reduce the forecast errors; hence the stock costs, and the number of stockouts, thus enhancing the operational availability.APDIO - Associação Portuguesa de Investigação Operacional2008-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0874-51612008000100004Investigação Operacional v.28 n.1 2008reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0874-51612008000100004NEVES,GuilhermeDIALLO,MadiagneLUSTOSA,Leonardo Junqueirainfo:eu-repo/semantics/openAccess2024-02-06T17:14:09Zoai:scielo:S0874-51612008000100004Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:24:10.015093Repositório 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 Initial Electronic Spare Parts Stock and Consumption Forecasting
title Initial Electronic Spare Parts Stock and Consumption Forecasting
spellingShingle Initial Electronic Spare Parts Stock and Consumption Forecasting
NEVES,Guilherme
Replacement parts
spares
forecast
stock management
supply
time series
availability
reliability
Poisson
title_short Initial Electronic Spare Parts Stock and Consumption Forecasting
title_full Initial Electronic Spare Parts Stock and Consumption Forecasting
title_fullStr Initial Electronic Spare Parts Stock and Consumption Forecasting
title_full_unstemmed Initial Electronic Spare Parts Stock and Consumption Forecasting
title_sort Initial Electronic Spare Parts Stock and Consumption Forecasting
author NEVES,Guilherme
author_facet NEVES,Guilherme
DIALLO,Madiagne
LUSTOSA,Leonardo Junqueira
author_role author
author2 DIALLO,Madiagne
LUSTOSA,Leonardo Junqueira
author2_role author
author
dc.contributor.author.fl_str_mv NEVES,Guilherme
DIALLO,Madiagne
LUSTOSA,Leonardo Junqueira
dc.subject.por.fl_str_mv Replacement parts
spares
forecast
stock management
supply
time series
availability
reliability
Poisson
topic Replacement parts
spares
forecast
stock management
supply
time series
availability
reliability
Poisson
description There is a consensus that conventional continuous demand distribution methods are not appropriate for forecasting replacement parts. However, many forecasting tools available in market still use them. This work presents an application of the Poisson distribution to forecast the needs of electronic spare parts. Using basic stock management notions and usual concepts of reliability, availability and the Poisson process, an alternative method is proposed for sizing the initial stock of replacement parts to be purchased along with a electronic equipment. The results from the application of the proposed method and its comparison to the SAGA method, which is based on time series and normal distribution, are presented. The analyses of results have shown that it is possible to reduce the forecast errors; hence the stock costs, and the number of stockouts, thus enhancing the operational availability.
publishDate 2008
dc.date.none.fl_str_mv 2008-06-01
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://scielo.pt/scielo.php?script=sci_arttext&pid=S0874-51612008000100004
url http://scielo.pt/scielo.php?script=sci_arttext&pid=S0874-51612008000100004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S0874-51612008000100004
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv APDIO - Associação Portuguesa de Investigação Operacional
publisher.none.fl_str_mv APDIO - Associação Portuguesa de Investigação Operacional
dc.source.none.fl_str_mv Investigação Operacional v.28 n.1 2008
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
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