Economic disposal quantity of leftovers kept in storage: a Monte Carlo simulation method
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
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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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 |
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 |
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1799131246606942208 |