Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/50906
Título: | A Knowledge Based System for Supporting Sustainable Industrial Management in a Clothes Manufacturing Company Based on a Data Fusion Model |
Autor(es): | Vieira, Gaspar Gonçalves Varela, Maria Leonilde Rocha Ribeiro, Rita A. |
Palavras-chave: | Knowledge based system Industrial management decision making Dynamic multi-criteria decision model Manufacturing resources selection |
Data: | 2016 |
Editora: | Springer Verlag |
Revista: | Lecture Notes in Business Information Processing |
Resumo(s): | In this paper we propose a knowledge based system (KBS), based on smart objects and a data fusion model to support industrial management decision making applied to a clothes manufacturing enterprise. The management processes cover factory-production levels to higher decision-making levels. Therefore, the proposed KBS contributes to solving different kind of decision problems, including factory supervision, production planning and control, productivity management, real-time monitoring, and data acquisition and processing. The web access via different middleware devices and tools at different process levels, along with the use of integrated algorithms, decision methods, and smart objects, promote an optimized use of knowledge and resources. In this paper the proposed KBS is introduced and an example of its use is illustrated with an example of a clothes manufacturing resources selection, using the embedded dynamic multi-criteria fusion model. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/50906 |
ISBN: | 9783319328768 |
DOI: | 10.1007/978-3-319-32877-5_9 |
ISSN: | 1865-1348 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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ICDSST2016_paper GVetal-CR.pdf | 654,41 kB | Adobe PDF | Ver/Abrir |