Implementing statistical methods to solve DDMRP main issues

This master thesis analyses the supply chain methodology called DDMRP and its known issues. However, DDMRP presents two main matters for the stock planners of the companies. The first one is the computation of the ADU and the second one is the sizing of the Red Zone of the Stock Buffers. The goal of...

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Detalles Bibliográficos
Autor: Xifré Martín, Núria
Tipo de recurso: tesis de maestría
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/368989
Acceso en línea:https://hdl.handle.net/2117/368989
Access Level:acceso abierto
Palabra clave:Mathematical statistics -- Applications
DDMRP
ARIMA
Prophet
Holt-Winters
Montecarlo
Supply Chain
Stock
Estadística matemàtica -- Aplicacions
Classificació AMS::62 Statistics::62P Applications
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
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repository_id_str
spelling Implementing statistical methods to solve DDMRP main issuesXifré Martín, NúriaMathematical statistics -- ApplicationsDDMRPARIMAProphetHolt-WintersMontecarloSupply ChainStockEstadística matemàtica -- AplicacionsClassificació AMS::62 Statistics::62P ApplicationsÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàticaThis master thesis analyses the supply chain methodology called DDMRP and its known issues. However, DDMRP presents two main matters for the stock planners of the companies. The first one is the computation of the ADU and the second one is the sizing of the Red Zone of the Stock Buffers. The goal of the study is to find alternatives to these two issues. To compute the ADU more accurately, three time series methodologies are proposed: ARIMA, Holt-Winters and Prophet. On the other hand, the Red Zone size is computed minimizing a formulated cost function. Using a Montecarlo simulation, the number of stock units that minimizes the cost function can be found. With this procedure the planner would not need to establish any parameter, only known values of the product.Universitat Politècnica de CatalunyaAcosta Argueta, Lesly María20222022-06-0120222022-06-22master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/368989reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3689892026-05-27T15:37:01Z
dc.title.none.fl_str_mv Implementing statistical methods to solve DDMRP main issues
title Implementing statistical methods to solve DDMRP main issues
spellingShingle Implementing statistical methods to solve DDMRP main issues
Xifré Martín, Núria
Mathematical statistics -- Applications
DDMRP
ARIMA
Prophet
Holt-Winters
Montecarlo
Supply Chain
Stock
Estadística matemàtica -- Aplicacions
Classificació AMS::62 Statistics::62P Applications
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
title_short Implementing statistical methods to solve DDMRP main issues
title_full Implementing statistical methods to solve DDMRP main issues
title_fullStr Implementing statistical methods to solve DDMRP main issues
title_full_unstemmed Implementing statistical methods to solve DDMRP main issues
title_sort Implementing statistical methods to solve DDMRP main issues
dc.creator.none.fl_str_mv Xifré Martín, Núria
author Xifré Martín, Núria
author_facet Xifré Martín, Núria
author_role author
dc.contributor.none.fl_str_mv Acosta Argueta, Lesly María
dc.subject.none.fl_str_mv Mathematical statistics -- Applications
DDMRP
ARIMA
Prophet
Holt-Winters
Montecarlo
Supply Chain
Stock
Estadística matemàtica -- Aplicacions
Classificació AMS::62 Statistics::62P Applications
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
topic Mathematical statistics -- Applications
DDMRP
ARIMA
Prophet
Holt-Winters
Montecarlo
Supply Chain
Stock
Estadística matemàtica -- Aplicacions
Classificació AMS::62 Statistics::62P Applications
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
description This master thesis analyses the supply chain methodology called DDMRP and its known issues. However, DDMRP presents two main matters for the stock planners of the companies. The first one is the computation of the ADU and the second one is the sizing of the Red Zone of the Stock Buffers. The goal of the study is to find alternatives to these two issues. To compute the ADU more accurately, three time series methodologies are proposed: ARIMA, Holt-Winters and Prophet. On the other hand, the Red Zone size is computed minimizing a formulated cost function. Using a Montecarlo simulation, the number of stock units that minimizes the cost function can be found. With this procedure the planner would not need to establish any parameter, only known values of the product.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-06-01
2022
2022-06-22
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/368989
url https://hdl.handle.net/2117/368989
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869420295450787840
score 15,228081

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