Publicação
Decision support system in logistical processes management: Primus Vitoria case study
| 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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| Autores principais: | Caloba, Marco Paulo |
| Assunto: | DSS Warehouse Inventory management ABC Knapsack |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Aveiro |
| Idioma: | inglês |
| Origem: | RIA - Repositório Institucional da Universidade de Aveiro |
| 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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