Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/52783
Título: | Scheduling of nonconforming devices: the case of a company in the automotive sector |
Autor(es): | Nogueira, Mariana Araújo Carvalho, Maria Sameiro Oliveira, José A. |
Palavras-chave: | Complaints Lekin Priorization Quality Scheduling |
Data: | Fev-2018 |
Editora: | Springer International Publishing AG |
Revista: | Springer Proceedings in Mathematics and Statistics |
Resumo(s): | This article presents a project developed in a company’s quality department aiming at scheduling the nonconforming devices analysis’ process. The company faced a problem of low compliance with pre-established time requests, resulting in large fines paid to its customers of the automotive sector. In order to overcome this problem, scheduling tools were developed and tested, with the goal of minimizing the number of tardy tasks in identical parallel machines. The simulation of different scheduling rules allowed confirmation that the current prioritization rule is not the most effective one. Preliminary simulations were carried out using Lekin software [18], showing that other criteria promote better results. The use of a newly developed algorithm, combining two different criteria, resulted in a reduction of tardy tasks, thus decreasing tardiness fines paid to customers. Despite the preliminary status of present results, it is possible to foresee some improvements in the analysis process performance, by using decision making support tools based on scheduling algorithms. This way, a significant improvement on the number of analysis which fulfills the defined pre-requirements will be achieved. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/52783 |
ISBN: | 978-3-319-71582-7 |
DOI: | 10.1007/978-3-319-71583-4_18 |
ISSN: | 2194-1009 |
Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-319-71583-4_18 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Artigo_Final.pdf | 1,97 MB | Adobe PDF | Ver/Abrir |