Decision support system in logistical processes management: Primus Vitoria case study

Detalhes bibliográficos
Autor(a) principal: Caloba, Marco Paulo
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/35136
Resumo: Managing a warehouse can involve a large flow of production which results in large amounts of volume to be stored. Being this the company’s case, the main problem found was that there is no system for the phase of storing the products. The decision of where to store all the final products is made only by an employee which leaves no way to evaluate if the storing is done optimally and it is a very big risk for a company of it’s size to have so much dependency on one person. With this, the objectives established for this project were the reorganisation of the company’s external warehouse and developing a model for a decision support system, serving as a pilot project for later application to their internal warehouse. The framework designed and proposed meets the company’s current needs. From this framework, are presented analyses and algorithms to classify the products according to the customer orders and to store them in the warehouse using two different methods: a direct allocation through the ABC classification method and an allocation using the Knapsack problem, an optimisation method. Some important notes on how to continue the work started here are also presented.
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spelling Decision support system in logistical processes management: Primus Vitoria case studyDSSWarehouseInventory managementABCKnapsackManaging a warehouse can involve a large flow of production which results in large amounts of volume to be stored. Being this the company’s case, the main problem found was that there is no system for the phase of storing the products. The decision of where to store all the final products is made only by an employee which leaves no way to evaluate if the storing is done optimally and it is a very big risk for a company of it’s size to have so much dependency on one person. With this, the objectives established for this project were the reorganisation of the company’s external warehouse and developing a model for a decision support system, serving as a pilot project for later application to their internal warehouse. The framework designed and proposed meets the company’s current needs. From this framework, are presented analyses and algorithms to classify the products according to the customer orders and to store them in the warehouse using two different methods: a direct allocation through the ABC classification method and an allocation using the Knapsack problem, an optimisation method. Some important notes on how to continue the work started here are also presented.A gestão de um armazém pode envolver um grande fluxo de produção, o que resulta em grandes quantidades de volume para serem armazenadas. Sendo este o caso da empresa, o principal problema encontrado foi a inexistência de um sistema para a fase de armazenamento dos produtos. A decisão de onde armazenar todos os produtos finais é tomada apenas por um funcionário, não permitindo uma avaliação sobre como o armazenamento é feito e é um risco muito grande para uma empresa da sua dimensão ter tanta dependência em apenas uma pessoa. Com isto, os objetivos estabelecidos para este projeto foram a reorganização do armazém externo da empresa e o desenvolvimento de um modelo de sistema de apoio à decisão, servindo como projeto piloto para posterior aplicação ao armazém interno. A estrutura desenvolvida e proposta atende às necessidades atuais da empresa e, desta, são apresentadas análises e algoritmos para classificar os produtos de acordo com os pedidos dos clientes e para armazená-los usando dois métodos diferentes: uma alocação direta através do método de classificação ABC e uma alocação usando o problema da mochila, um método de otimização. Também são apresentados algumas notas importantes sobre como dar continuidade ao trabalho aqui iniciado.2022-11-07T10:27:55Z2022-07-27T00:00:00Z2022-07-27info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/35136engCaloba, Marco Pauloinfo: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:RCAAP2024-02-22T12:07:45Zoai:ria.ua.pt:10773/35136Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:06:15.858926Repositório 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 Decision support system in logistical processes management: Primus Vitoria case study
title Decision support system in logistical processes management: Primus Vitoria case study
spellingShingle Decision support system in logistical processes management: Primus Vitoria case study
Caloba, Marco Paulo
DSS
Warehouse
Inventory management
ABC
Knapsack
title_short Decision support system in logistical processes management: Primus Vitoria case study
title_full Decision support system in logistical processes management: Primus Vitoria case study
title_fullStr Decision support system in logistical processes management: Primus Vitoria case study
title_full_unstemmed Decision support system in logistical processes management: Primus Vitoria case study
title_sort Decision support system in logistical processes management: Primus Vitoria case study
author Caloba, Marco Paulo
author_facet Caloba, Marco Paulo
author_role author
dc.contributor.author.fl_str_mv Caloba, Marco Paulo
dc.subject.por.fl_str_mv DSS
Warehouse
Inventory management
ABC
Knapsack
topic DSS
Warehouse
Inventory management
ABC
Knapsack
description Managing a warehouse can involve a large flow of production which results in large amounts of volume to be stored. Being this the company’s case, the main problem found was that there is no system for the phase of storing the products. The decision of where to store all the final products is made only by an employee which leaves no way to evaluate if the storing is done optimally and it is a very big risk for a company of it’s size to have so much dependency on one person. With this, the objectives established for this project were the reorganisation of the company’s external warehouse and developing a model for a decision support system, serving as a pilot project for later application to their internal warehouse. The framework designed and proposed meets the company’s current needs. From this framework, are presented analyses and algorithms to classify the products according to the customer orders and to store them in the warehouse using two different methods: a direct allocation through the ABC classification method and an allocation using the Knapsack problem, an optimisation method. Some important notes on how to continue the work started here are also presented.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-07T10:27:55Z
2022-07-27T00:00:00Z
2022-07-27
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/35136
url http://hdl.handle.net/10773/35136
dc.language.iso.fl_str_mv eng
language eng
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