scholarly journals An integrated lean approach to Process Failure Mode and Effect Analysis (PFMEA): A case study from automotive industry

2016 ◽  
Vol 11 (4) ◽  
pp. 355-365 ◽  
Author(s):  
N. Banduka ◽  
I. Veža ◽  
B. Bilić
Keyword(s):  
Failure Mode ◽  
Automotive Industry ◽  
Effect Analysis ◽  
Process Failure

The prioritization of failures within the automotive industry: The two-step failure mode and effect analysis integrated approach

2020 ◽  
Vol 234 (12) ◽  
pp. 1559-1570
Author(s):  
Nikola Banduka ◽  
Aleksandar Aleksić ◽  
Nikola Komatina ◽  
Amanda Aljinović ◽  
Danijela Tadić
Keyword(s):  
Failure Mode ◽  
Automotive Industry ◽  
Fuzzy Numbers ◽  
Fuzzy Classification ◽  
Product Choice ◽  
Triangular Fuzzy Numbers ◽  
Effect Analysis ◽  
Process Failure ◽  
Interval Type

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.

scholarly journals Failure Mode and Effect Analysis in Automotive Industry: A Case Study

2019 ◽  
Vol 19 (2) ◽  
pp. 10-15
Author(s):  
L. Petrescu ◽  
E. Cazacu ◽  
Maria-Cătălina Petrescu
Keyword(s):  
Failure Mode ◽  
Automotive Industry ◽  
Failure Modes ◽  
Action Plan ◽  
Electronic Devices ◽  
Area Network ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Iso 26262

AbstractNowadays, Failure Mode and Effect Analysis (FMEA) is more present in any standard evaluation of a product or process. In automotive industry, the IEC 61508 Standard adapted the ISO 26262 restrictions for Electrical and Electronic Devices. Conducting an FMEA reduces the costs by focusing on preventing failures, improving safety and increasing customer satisfaction. This paper presents a case study of a FMEA on a CAN (Controller Area Network) Bus Harness considering the entire process from defining the scope and building the team, to the action plan that will reduce the Risk Priority Number below the acceptable risk value. Also, the brainstorming that identifies the possible failure modes is presented.

An Application of Failure Mode and Effect Analysis to Cylinder Head during Dismantle of Remanufacturing Process: A Case Study

2013 ◽  
Vol 845 ◽  
pp. 841-851 ◽  
Author(s):  
Mohd Yazid Abu ◽  
Khairur Rijal Jamaludin ◽  
Amiril Sahab Abdul Sani ◽  
Tajul Ariffin Abdullah ◽  
Dzuraidah Abdul Wahab
Keyword(s):  
Failure Mode ◽  
Automotive Industry ◽  
Real Life ◽  
Developed Countries ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Business Opportunity ◽  
Work Outcome ◽  
Industry Sectors

While the concept of remanufacturing is gaining in popularity, in practice the remanufacturing industry in Malaysia is still in its nascent stage, with approximately 32 fields in various industries claiming to be involved in the process. This is an indication for Malaysia to further develop the industry as competing developed countries already view remanufacturing as a huge business opportunity. The aim of this study is to identify and minimize the frequent failures occurring during the dismantling process. Ishikawa diagram is used to identify all possible causes of failures while the Failure Mode and Effect Analysis (FMEA) with two Risk Priority Number (RPNs), identifies the most significant failures. The case study is performed in an automotive industry as well as in a contract remanufacturing environment in Malaysia, specifically pertaining to the dismantling of cylinder heads. The work outcome of this project is expected to be the enhancement of the robustness of DfRem investigations among researchers in real life applications and to provide better solution to a wider variety of industry sectors in a developing country like Malaysia.

Failure mode and effect analysis (FMEA) to improve collaborative project-based learning: Case study of a Study and Research Path in mechanical engineering

2021 ◽  
pp. 030641902199904
Author(s):  
Elena Bartolomé ◽  
Paula Benítez
Keyword(s):  
Active Learning ◽  
Failure Mode ◽  
Mechanical Engineering ◽  
Failure Modes ◽  
Collaborative Study ◽  
Project Based Learning ◽  
Educational Process ◽  
Effect Analysis ◽  
Questions And Answers

Failure Mode and Effect Analysis (FMEA) is a powerful quality tool, widely used in industry, for the identification of failure modes, their effects and causes. In this work, we investigated the utility of FMEA in the education field to improve active learning processes. In our case study, the FMEA principles were adapted to assess the risk of failures in a Mechanical Engineering course on “Theory of Machines and Mechanisms” conducted through a project-based, collaborative “Study and Research Path (SRP)” methodology. The SRP is an active learning instruction format which is initiated by a generating question that leads to a sequence of derived questions and answers, and combines moments of study and inquiry. By applying the FMEA, the teaching team was able to identify the most critical failures of the process, and implement corrective actions to improve the SRP in the subsequent year. Thus, our work shows that FMEA represents a simple tool of risk assesment which can serve to identify criticality in educational process, and improve the quality of active learning.

Application of failure mode and effects analysis to reduce microplastic emissions

2021 ◽  
pp. 0734242X2110031
Author(s):  
Ana Pires ◽  
Paula Sobral
Keyword(s):  
Failure Mode ◽  
Quantitative Methods ◽  
Policy Instruments ◽  
Effect Analysis ◽  
Advantages And Disadvantages ◽  
Heuristic Technique ◽  
Single Use ◽  
Regulatory Measures ◽  
Plastic Products

A complete understanding of the occurrence of microplastics and the methods to eliminate their sources is an urgent necessity to minimize the pollution caused by microplastics. The use of plastics in any form releases microplastics to the environment. Existing policy instruments are insufficient to address microplastics pollution and regulatory measures have focussed only on the microbeads and single-use plastics. Fees on the use of plastic products may possibly reduce their usage, but effective management of plastic products at their end-of-life is lacking. Therefore, in this study, the microplastic–failure mode and effect analysis (MP–FMEA) methodology, which is a semi-qualitative approach capable of identifying the causes and proposing solutions for the issue of microplastics pollution, has been proposed. The innovative feature of MP–FMEA is that it has a pre-defined failure mode, that is, the release of microplastics to air, water and soil (depending on the process) or the occurrence of microplastics in the final product. Moreover, a theoretical recycling plant case study was used to demonstrate the advantages and disadvantages of this method. The results revealed that MP–FMEA is an easy and heuristic technique to understand the failure-effect-causes and solutions for reduction of microplastics and can be applied by researchers working in different domains apart from those relating to microplastics. Future studies can include the evaluation of the use of MP–FMEA methodology along with quantitative methods for effective reduction in the release of microplastics.

Sign in / Sign up

Export Citation Format

Share Document