scholarly journals Extended process failure mode and effect analysis (PFMEA) for the automotive industry: The FSQC-PFMEA

2018 ◽  
Vol 13 (2) ◽  
pp. 206-215 ◽  
Author(s):  
N. Banduka ◽  
D. Tadic ◽  
I. Macuzic ◽  
M. Crnjac
Author(s):  
Nikola Banduka ◽  
Aleksandar Aleksić ◽  
Nikola Komatina ◽  
Amanda Aljinović ◽  
Danijela Tadić

Traditionally, in the automotive industry, the risk posed by failures in manufacturing is based on the conventional process failure mode and effect analysis. The market changes, as well as limited financial resources dedicated to business improvement, induce the need for employment of advanced management tools. The rating of failures is derived from the research using the suggested fuzzy classification method based on the Pareto analysis. It is assumed that the classification criterion should be determined as the product of the overall product choice and the risk priority numbers given by applying the traditional process failure mode and effect analysis. All the uncertainties that exist in the problem under consideration are represented by linguistic expressions that are modeled on the interval type-2 triangular fuzzy numbers. The overall product choice is based on a fuzzy analytical hierarchy process with interval type-2 triangular fuzzy numbers. The execution of management initiatives based on the priority of failures can result in the improvement of the manufacturing process and overall business efficiency. The proposed model is tested using real-life data from a single vehicle manufacturer operating in the Western Balkans and representing a part of a global automotive supply chain.


2014 ◽  
Vol 564 ◽  
pp. 72-76
Author(s):  
Shukriah Abdullah ◽  
Aziz Abdul Faieza

Headlamp assembly entailed a complex assembly process and error in assembled can result in technical problem and higher reject rate at the end of the assembly process. A study has been conducted, in one of the automotive headlamp assembly in Malaysia, where there are numerous defect detected during the assembly process, such as metal spacing missing, wrong model housing, wrong sticker affix, wrong orientation with a total of 80% defects detected. Currently the headlamps are assembled with no dimensional control, results in high physical nonconformity product. The main objective of this project is to identify potential failure in headlamp assembly process. The approach used was risk assessment tool which is Process Failure Mode and Effect. This work also developed the corrective action plan for accurate ranking of Failure Modes by Risk Priority Number-based method and implement it to the process assembly. The result showed that there was increased of 5% in preventive action and 4% increment of the detection action


2018 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Muhamad Bob Anthony

This research was conducted in an international company engaged in iron and steel products manufacturing industries. One of the equipment that is often damaged is a hot roller table machine in the furnace section mill unit. The availability results obtained in hot roller table equipment is 96.571% and is still below the company standard which is set at 98%. Therefore, we need an analysis of the root causes of the problem and search for the best solution to fix the existing problem by applying the method of Failure Mode and Effect Analysis (FMEA). FMEA is a method that can systematically and structurally analyze and identify the consequences of a system or process failure, and also reduce or analyze the probability of failure. The purpose of this study is to identify and analyze the level of damage and its causes with the application of the FMEA method. Based on the pareto diagram the damage to the hot roller table machine, it was found that the highest frequency of damage was in the rotary coupling with a down time percentage of 26.9%. From the FMEA Analysis, two components that have very high RPN values are categorized as potential severit i.e. bearing as the first with an RPN value of 392 and the second is a seal ring with an RPN value of 294. The two components are the main priority for repair of the furnace section. mill, especially for machine and human aspects.


Author(s):  
Annamária Koncz ◽  
László Pokorádi ◽  
Zsolt Csaba Johanyák

The automotive industry is one of the most dynamically growing fields of the manufacturingarea. Besides this, it has very strict rules concerning safety and reliability. In our work, our aim is to point out the importance of the automotive industry (based on statistics) and the rules in connection with risk and root cause analysis. The most important risk analysis method is the Failure Mode and Effect Analysis (FMEA). According to standards and OEM regulations, FMEA is obligatory in the automotive sector. In our study, we summarise the area of FMEA usage, its types and process steps.


Author(s):  
Dimas Campos Aguiar ◽  
Helder Jose Celani De Souza ◽  
Valerio Salomon

<p>The Failure Mode and Effect Analysis (FMEA) has been developed by several researchers who have proposed distinct reference tables to score the Severity, Occurrence and Detection of a failure. This paper aims to evaluate, using AHP, several proposals for the application of Process FMEA, as well as to obtain and offer recommendations for its application. Five reference tables for Severity, six tables for Occurrence, and six tables for Detection are presented. These reference tables are evaluated for their application in the Brazilian automotive industry by using critical analysis and proper judgments. The scientific contribution of this paper is to provide a way to select a reference table, available in the FMEA literature, for the application of the FMEA process.</p><p>http://dx.doi.org/10.13033/ijahp.v2i1.69</p>


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