A IMPORTÂNCIA DA CLASSIFICAÇÃO E QUALIDADE DA MATÉRIA-PRIMA COURO: UM ESTUDO DE CASO

Este artigo envolve o tema sobre a classificação e qualidade da matéria-prima couro na empresa Gobba Leather Indústria e Comércio Ltda. Os objetivos são analisar o processo interno de classificação e as medições da qualidade como ocorrem na empresa. Justifica-se este escrito pela relevância econômica e social da empresa, no seu ramo de atuação desde 1915, sendo esta empresa fortemente influenciadora do Produto Interno Bruto do município de Nova Esperança do Sul, no Vale do Jaguari - RS, além dos produtos da empresa serem exportados para os cinco continentes do mundo. O problema de pesquisa visa verificar como se procede na classificação da matéria-prima couro e como são os controles de qualidade da empresa? A metodologia adotada apresenta características quali-quantitativa, de abordagem exploratória descritiva. Sendo um levantamento bibliográfico com pesquisa documental e na forma de estudo de caso. Formulou-se um questionário estruturado com respostas nas escalas de sensibilidade e aplicados na população de vinte colaboradores ligados diretamente ao processo operacional. Conclui-se que a empresa trabalha satisfatóriamente em relação à classificação e qualidade da matéria-prima couro. Como aperfeiçoamento sugere-se melhorias na forma parcial de plano de ação, entre elas, sugere-se o uso da ferramenta FMECA (Failure Mode, Effect and Criticality Analysis), os conceitos de classificação de Perfetti (2004) e monitoramento das imperfeições no couro de Georgieva et. al.(2004), reduzindo às perdas na matéria-prima.

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Semiquantitative Failure Mode, Effect and Criticality Analysis for Reliability Analysis of Solid Rocket Propulsion System

Transactions of the Korean Society of Mechanical Engineers A ◽

10.3795/ksme-a.2015.39.6.631 ◽

2015 ◽

Vol 39 (6) ◽

pp. 631-638 ◽

Cited By ~ 1

Author(s):

Keun Hwan Moon ◽

Jin Kon Kim ◽

Joo Ho Choi

Keyword(s):

Reliability Analysis ◽

Failure Mode ◽

Propulsion System ◽

Rocket Propulsion ◽

Mode Effect ◽

Solid Rocket ◽

Criticality Analysis

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Failure Rate Determination and Failure Mode, Effect and Criticality Analysis (FMECA) Based on Historical Data for Photovoltaic Plants

Proceedings of SWC2017/SHC2017 ◽

10.18086/swc.2017.20.04 ◽

2017 ◽

Author(s):

Sara Gallardo Saavedra ◽

Javier Pérez Moreno ◽

Luis Hernandez Callejo ◽

Óscar Duque Pérez

Keyword(s):

Failure Mode ◽

Failure Rate ◽

Historical Data ◽

Mode Effect ◽

Photovoltaic Plants ◽

Criticality Analysis

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Failure Mode, Effect and Criticality Analysis of CNC Grinder

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.141.284 ◽

2011 ◽

Vol 141 ◽

pp. 284-288

Author(s):

Hong Jun Wang ◽

Lei Sun ◽

Lei Shi

Keyword(s):

Failure Mode ◽

Production Line ◽

Failure Modes ◽

Mode Effect ◽

Technical Basis ◽

Criticality Analysis ◽

Fault Record

CNC grinder is considered as the key equipment of camshaft production line. Its reliability directly influences the quality of the products. This article takes an analysis of fault record of 15 sets of CNC grinders of production line, gets failure positions analysis, and then reaches data of failure modes, fault reason of CNC grinder. Comprehensive analyses of criticality for the machine are done through establishing models. Therefore, this analysis provides technical basis for repair, maintenance and update of CNC grinder of camshaft production line.

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Application of Failure Mode Effect and Criticality Analysis (FMECA) to a Computer Integrated Manufacturing (CIM) Conveyor Belt

Engineering, Technology & Applied Science Research ◽

10.48084/etasr.2043 ◽

2018 ◽

Vol 8 (3) ◽

pp. 3023-3027

Author(s):

I. Elbadawi ◽

M. A. Ashmawy ◽

W. A. Yusmawiza ◽

I. A. Chaudhry ◽

N. B. Ali ◽

...

Keyword(s):

Failure Mode ◽

Failure Modes ◽

Production Systems ◽

Conveyor Belt ◽

Computer Integrated Manufacturing ◽

Formal Specifications ◽

Production Time ◽

Integrated Manufacturing ◽

Mode Effect ◽

Criticality Analysis

Fault finding and failure predicting techniques in manufacturing and production systems often involve forecasting failures, their effects, and occurrences. The majority of these techniques predict failures that may appear during the regular system production time. However, they do not estimate the failure modes and they require extensive source code instrumentation. In this study, we suggest an approach for predicting failure occurrences and modes during system production time intervals at the University of Hail (UoH). The aim of this project is to implement failure mode effect and criticality analysis (FMECA) on computer integrated manufacturing (CIM) conveyors to determine the effect of various failures on the CIM conveyor belt by ranking and prioritizing each failure according to its risk priority number (RPN). We incorporated the results of FMECA in the development of formal specifications of fail-safe CIM conveyor belt systems. The results show that the highest RPN values are for motor over current failure (450), conveyor chase of vibration (400), belt run off at the head pulley (200), accumulated dirt (180), and Bowed belt (150). The study concludes that performing FMECA is highly effective in improving CIM conveyor belt reliability and safety in the mechanical engineering workshop at UoH.

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