Economic disposal quantity of leftovers kept in storage: a Monte Carlo simulation method

Detalhes bibliográficos
Autor(a) principal: Assis, Rui
Data de Publicação: 2019
Outros Autores: Marques, Pedro Carmona, Santos, José Oliveira, Vidal, Raphaela
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10437/13107
Resumo: This article describes how to reach an item’s threshold, or in other words, the limit time for it to be re 5 trieved from stock and sold for a different use, as well as the remaining foreseen period for this situation to occur. Once a minimum length, or weight, is reached, left quan tities are more difficult to sell, as demand often exceeds the remaining parts or leftovers. The number of unfulfilled 10 orders increases, as time goes by, until it becomes further cost effective to dispose the leftover and sell it for a lower price and alternative use. A Monte Carlo simulation model was built in order to consider the randomness of future transactions and quantifying consequences providing this 15 way a simple and effective decision-making. KEYWORDS: Decision-making ; Economical Optimization ; Monte-Carlo Simulation ; Stochastic Process
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spelling Economic disposal quantity of leftovers kept in storage: a Monte Carlo simulation methodGESTÃOGESTÃO DE STOCKSTOMADA DE DECISÃOOTIMIZAÇÃOPROCESSOS ESTOCÁSTICOSMANAGEMENTSTOCK MANAGEMENTDECISION MAKINGOPTIMIZATIONSTOCHASTIC PROCESSESThis article describes how to reach an item’s threshold, or in other words, the limit time for it to be re 5 trieved from stock and sold for a different use, as well as the remaining foreseen period for this situation to occur. Once a minimum length, or weight, is reached, left quan tities are more difficult to sell, as demand often exceeds the remaining parts or leftovers. The number of unfulfilled 10 orders increases, as time goes by, until it becomes further cost effective to dispose the leftover and sell it for a lower price and alternative use. A Monte Carlo simulation model was built in order to consider the randomness of future transactions and quantifying consequences providing this 15 way a simple and effective decision-making. KEYWORDS: Decision-making ; Economical Optimization ; Monte-Carlo Simulation ; Stochastic Process2022-09-19T10:52:06Z2019-01-01T00:00:00Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10437/13107engAssis, RuiMarques, Pedro CarmonaSantos, José OliveiraVidal, Raphaelainfo: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:RCAAP2023-03-09T14:07:40Zoai:recil.ensinolusofona.pt:10437/13107Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:14:58.878203Repositório 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 Economic disposal quantity of leftovers kept in storage: a Monte Carlo simulation method
title Economic disposal quantity of leftovers kept in storage: a Monte Carlo simulation method
spellingShingle Economic disposal quantity of leftovers kept in storage: a Monte Carlo simulation method
Assis, Rui
GESTÃO
GESTÃO DE STOCKS
TOMADA DE DECISÃO
OTIMIZAÇÃO
PROCESSOS ESTOCÁSTICOS
MANAGEMENT
STOCK MANAGEMENT
DECISION MAKING
OPTIMIZATION
STOCHASTIC PROCESSES
title_short Economic disposal quantity of leftovers kept in storage: a Monte Carlo simulation method
title_full Economic disposal quantity of leftovers kept in storage: a Monte Carlo simulation method
title_fullStr Economic disposal quantity of leftovers kept in storage: a Monte Carlo simulation method
title_full_unstemmed Economic disposal quantity of leftovers kept in storage: a Monte Carlo simulation method
title_sort Economic disposal quantity of leftovers kept in storage: a Monte Carlo simulation method
author Assis, Rui
author_facet Assis, Rui
Marques, Pedro Carmona
Santos, José Oliveira
Vidal, Raphaela
author_role author
author2 Marques, Pedro Carmona
Santos, José Oliveira
Vidal, Raphaela
author2_role author
author
author
dc.contributor.author.fl_str_mv Assis, Rui
Marques, Pedro Carmona
Santos, José Oliveira
Vidal, Raphaela
dc.subject.por.fl_str_mv GESTÃO
GESTÃO DE STOCKS
TOMADA DE DECISÃO
OTIMIZAÇÃO
PROCESSOS ESTOCÁSTICOS
MANAGEMENT
STOCK MANAGEMENT
DECISION MAKING
OPTIMIZATION
STOCHASTIC PROCESSES
topic GESTÃO
GESTÃO DE STOCKS
TOMADA DE DECISÃO
OTIMIZAÇÃO
PROCESSOS ESTOCÁSTICOS
MANAGEMENT
STOCK MANAGEMENT
DECISION MAKING
OPTIMIZATION
STOCHASTIC PROCESSES
description This article describes how to reach an item’s threshold, or in other words, the limit time for it to be re 5 trieved from stock and sold for a different use, as well as the remaining foreseen period for this situation to occur. Once a minimum length, or weight, is reached, left quan tities are more difficult to sell, as demand often exceeds the remaining parts or leftovers. The number of unfulfilled 10 orders increases, as time goes by, until it becomes further cost effective to dispose the leftover and sell it for a lower price and alternative use. A Monte Carlo simulation model was built in order to consider the randomness of future transactions and quantifying consequences providing this 15 way a simple and effective decision-making. KEYWORDS: Decision-making ; Economical Optimization ; Monte-Carlo Simulation ; Stochastic Process
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01T00:00:00Z
2019
2022-09-19T10:52:06Z
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/10437/13107
url http://hdl.handle.net/10437/13107
dc.language.iso.fl_str_mv eng
language eng
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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
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