Planificación estratégica de la capacidad en una empresa del sector alimentación (Strategic multi-site capacity planning for a food industry)

This paper describes the proposed procedure for the multi-site capacity planning of a food company that was obliged to move one of its production sites to a new location. Due to this change the managers of the company wanted to know the capacity requirement of the new site, the assigned products to...

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Authors: Companys, Ramon, Ribas Vila, Immaculada|||0000-0002-3701-118X, Bautista Valhondo, Joaquín|||0000-0002-2214-4991
Format: article
Publication Date:2012
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/111321
Online Access:https://hdl.handle.net/2117/111321
Access Level:Open access
Keyword:Food industry and trade
Strategic planning
Palabras clave: Planificación capacidad
diseño cadena suministro
caso industrial.
Planificació estratègica
Aliments -- Indústria i comerç
Àrees temàtiques de la UPC::Economia i organització d'empreses
id ES_282e2b2fc348e704c5f1bb6de9dfaa3c
oai_identifier_str oai:upcommons.upc.edu:2117/111321
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Planificación estratégica de la capacidad en una empresa del sector alimentación (Strategic multi-site capacity planning for a food industry)
title Planificación estratégica de la capacidad en una empresa del sector alimentación (Strategic multi-site capacity planning for a food industry)
spellingShingle Planificación estratégica de la capacidad en una empresa del sector alimentación (Strategic multi-site capacity planning for a food industry)
Companys, Ramon
Food industry and trade
Strategic planning
Palabras clave: Planificación capacidad
diseño cadena suministro
caso industrial.
Planificació estratègica
Aliments -- Indústria i comerç
Àrees temàtiques de la UPC::Economia i organització d'empreses
title_short Planificación estratégica de la capacidad en una empresa del sector alimentación (Strategic multi-site capacity planning for a food industry)
title_full Planificación estratégica de la capacidad en una empresa del sector alimentación (Strategic multi-site capacity planning for a food industry)
title_fullStr Planificación estratégica de la capacidad en una empresa del sector alimentación (Strategic multi-site capacity planning for a food industry)
title_full_unstemmed Planificación estratégica de la capacidad en una empresa del sector alimentación (Strategic multi-site capacity planning for a food industry)
title_sort Planificación estratégica de la capacidad en una empresa del sector alimentación (Strategic multi-site capacity planning for a food industry)
dc.creator.none.fl_str_mv Companys, Ramon
Ribas Vila, Immaculada|||0000-0002-3701-118X
Bautista Valhondo, Joaquín|||0000-0002-2214-4991
author Companys, Ramon
author_facet Companys, Ramon
Ribas Vila, Immaculada|||0000-0002-3701-118X
Bautista Valhondo, Joaquín|||0000-0002-2214-4991
author_role author
author2 Ribas Vila, Immaculada|||0000-0002-3701-118X
Bautista Valhondo, Joaquín|||0000-0002-2214-4991
author2_role author
author
dc.subject.none.fl_str_mv Food industry and trade
Strategic planning
Palabras clave: Planificación capacidad
diseño cadena suministro
caso industrial.
Planificació estratègica
Aliments -- Indústria i comerç
Àrees temàtiques de la UPC::Economia i organització d'empreses
topic Food industry and trade
Strategic planning
Palabras clave: Planificación capacidad
diseño cadena suministro
caso industrial.
Planificació estratègica
Aliments -- Indústria i comerç
Àrees temàtiques de la UPC::Economia i organització d'empreses
description This paper describes the proposed procedure for the multi-site capacity planning of a food company that was obliged to move one of its production sites to a new location. Due to this change the managers of the company wanted to know the capacity requirement of the new site, the assigned products to this plant and the impact of these decisions over the other manufacturing sites. In brief, they wanted to know the efficient production map of the company for the next 3 - 5 years. The company had 6 manufacturing sites which produced about 100 products grouped in 22 families. Each family was associated to a production line. The most demanded products could be produced in several plants, at the same time, whereas some other products only on a certain site. Only one raw material was critical and with influence on the productive map, therefore, it was considered in the problem formulation. The plants sent their output to 5 regional centres which were in charge of supplying the demand of 38 distribution centres. This distribution centres, in turn, were in charge of serving the requirements of the points of sale. Therefore, the supply chain consisted of 4 levels: suppliers, plants, regional centres and distribution centres. The problem was formulated as a mathematical program. The main variables were the quantity to produce of each product at each plant, in a certain period of time, the quantity to be transported of each product from the manufacturing sites to the regional centres and the raw material supplied for each supplier to each plant. The mathematical constraints described the production constraints, the supply and transport constraints and the rules established by the company. The parameters were the availability of raw materials from each supplier, the minimum lot size of each product, the capacity of vehicles from transport the products, the demand of each product per distribution centre and the cost associated to suppliers, to the transport, with the set up of lines and the changeover cost in each line. The objective was to minimize the operating cost. The mathematical model had to allow simulating several scenarios of demand, capacity and configuration of plants. The system was implemented in three modules. The first module was a pre-processor to set the information and scenario to simulate with different hypothesis of demand, minimum lot size, and constraints. Next, the processor implemented in Lindo and finally, the postprocessor to summarize the obtained and to prepare and show several reports. Finally, the results and conclusions were presented to the steering committee. Our proposal was not the cheapest but was the one that demanded less inversion and changes. The implemented system was transferred to the company who continued with the study to take the final decision.
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-12-01
2017
2017-11-29
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/111321
url https://hdl.handle.net/2117/111321
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Ciencia e Innovación http://doi.org/10.13039/501100004837 DPI2010-16759 PROGRAMACION RESTRINGIDA DE OPERACIONES EN TALLERES HIBRIDOS INTEGRADOS SOBRE UNIDADES EN SECUENCIA. INDUSTRIA DEL AUTOMOVIL (ASPECTOS ECONOMICOS, JURIDICOS Y SOCIALES)
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
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
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Politécnica de Madrid (UPM)
publisher.none.fl_str_mv Universidad Politécnica de Madrid (UPM)
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
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spelling Planificación estratégica de la capacidad en una empresa del sector alimentación (Strategic multi-site capacity planning for a food industry)Companys, RamonRibas Vila, Immaculada|||0000-0002-3701-118XBautista Valhondo, Joaquín|||0000-0002-2214-4991Food industry and tradeStrategic planningPalabras clave: Planificación capacidaddiseño cadena suministrocaso industrial.Planificació estratègicaAliments -- Indústria i comerçÀrees temàtiques de la UPC::Economia i organització d'empresesThis paper describes the proposed procedure for the multi-site capacity planning of a food company that was obliged to move one of its production sites to a new location. Due to this change the managers of the company wanted to know the capacity requirement of the new site, the assigned products to this plant and the impact of these decisions over the other manufacturing sites. In brief, they wanted to know the efficient production map of the company for the next 3 - 5 years. The company had 6 manufacturing sites which produced about 100 products grouped in 22 families. Each family was associated to a production line. The most demanded products could be produced in several plants, at the same time, whereas some other products only on a certain site. Only one raw material was critical and with influence on the productive map, therefore, it was considered in the problem formulation. The plants sent their output to 5 regional centres which were in charge of supplying the demand of 38 distribution centres. This distribution centres, in turn, were in charge of serving the requirements of the points of sale. Therefore, the supply chain consisted of 4 levels: suppliers, plants, regional centres and distribution centres. The problem was formulated as a mathematical program. The main variables were the quantity to produce of each product at each plant, in a certain period of time, the quantity to be transported of each product from the manufacturing sites to the regional centres and the raw material supplied for each supplier to each plant. The mathematical constraints described the production constraints, the supply and transport constraints and the rules established by the company. The parameters were the availability of raw materials from each supplier, the minimum lot size of each product, the capacity of vehicles from transport the products, the demand of each product per distribution centre and the cost associated to suppliers, to the transport, with the set up of lines and the changeover cost in each line. The objective was to minimize the operating cost. The mathematical model had to allow simulating several scenarios of demand, capacity and configuration of plants. The system was implemented in three modules. The first module was a pre-processor to set the information and scenario to simulate with different hypothesis of demand, minimum lot size, and constraints. Next, the processor implemented in Lindo and finally, the postprocessor to summarize the obtained and to prepare and show several reports. Finally, the results and conclusions were presented to the steering committee. Our proposal was not the cheapest but was the one that demanded less inversion and changes. The implemented system was transferred to the company who continued with the study to take the final decision.Peer ReviewedUniversidad Politécnica de Madrid (UPM)20122012-12-0120172017-11-29journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/111321reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengMinisterio de Ciencia e Innovación http://doi.org/10.13039/501100004837 DPI2010-16759 PROGRAMACION RESTRINGIDA DE OPERACIONES EN TALLERES HIBRIDOS INTEGRADOS SOBRE UNIDADES EN SECUENCIA. INDUSTRIA DEL AUTOMOVIL (ASPECTOS ECONOMICOS, JURIDICOS Y SOCIALES)open accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1113212026-05-27T15:37:01Z
score 15.300719

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