Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/82455

TítuloEvaluating the statistical process control data acquisition system in a heat exchanger factory
Autor(es)Costa, Diogo
Shah, Vaibhav
Varela, M.L.R.
Monteiro, Caetano
Putnik, Goran D.
Machado, José
Palavras-chaveBPMN
Data acquisition
Industry 4.0
SPC
Data2022
EditoraSpringer, Cham
RevistaLecture Notes in Mechanical Engineering
CitaçãoCosta, D., Shah, V., Varela, L., Monteiro, C., Putnik, G., Machado, J. (2022). Evaluating the Statistical Process Control Data Acquisition System in a Heat Exchanger Factory. In: Hamrol, A., Grabowska, M., Maletič, D. (eds) Advances in Manufacturing III. MANUFACTURING 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-00218-2_10
Resumo(s)Manufacturers of Heating Ventilation and Air Conditioning systems in Brazil are experiencing several challenges to increase competitiveness of their operations, considering the world class companies which are continuously improving their products and processes to deliver better quality products with lower costs. To achieve this target, new opportunities for improvements in management and operation system are welcome. This paper evaluates the statistical process control data acquisition system in a company in Manaus Industrial Zone for heat exchanger manufacturing, by using BPMN for Process Mapping at current state. Following the mission of Industry 4.0, options for improvements were proposed for a new future state, considering quality improvements and resources reduction. The analysis brought process improvements, for instance increased speed of data analysis time, regarding the corrective and preventive actions taken in the production system, and its influences in reducing the failure rate of products due to leakage rate, besides the analysis of the failure rate of product performance, and the reduction of resources used to collect process data.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/82455
ISBN9783031001666
DOI10.1007/978-3-031-00218-2_10
ISSN2195-4356
Versão da editorahttps://link.springer.com/chapter/10.1007/978-3-031-00218-2_10
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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