scholarly journals Development of quality improvement matrix: An integrated tools for quality improvement

2018 ◽  
Vol 204 ◽  
pp. 01013
Author(s):  
Katon Muhammad ◽  
Putu Dana Karningsih
Keyword(s):  
Quality Improvement ◽  
Failure Mode ◽  
Manufacturing Industries ◽  
House Of Quality ◽  
Statistical Process ◽  
Effect Analysis ◽  
Root Cause ◽  
Second Stage ◽  
Continuous Quality ◽  
Analysis Quality

Continuous quality improvement is essential to ensure the competitiveness of manufacturing industries. Design of Experiments, Statistical Process Control and Failure Mode and Effect Analysis are common tools for improving quality. This study proposes a new tool that could encompass quality improvement steps comprehensively, namely Quality Improvement Matrix. This tool integrates several techniques which are House of Quality, Failure Mode and Effect Analysis (FMEA) and Root Cause Analysis. Quality Improvement Matrix covers identification of defects and its root causes, measuring the magnitude of defects (source of defects), formulating alternatives of solutions for reducing root cause of defects and selecting effective solutions to be implemented. Quality Improvement Matrix is developed by following a similar approach as House of Risk. Thus, it also consists of two matrixes that represent two major stages. The first stage is the identification and prioritizing root causes of defect. Then, the second stage is formulating and selecting solutions for improvements.

scholarly journals Monitoring of the Production Processing in a Metallurgical Company Using FMEA Method

2017 ◽  
Vol 62 (4) ◽  
pp. 2089-2094 ◽  
Author(s):  
M. Dudek-Burlikowska
Keyword(s):  
Quality Improvement ◽  
Research Methods ◽  
Failure Mode ◽  
Continuous Quality Improvement ◽  
Effect Analysis ◽  
Quality Research ◽  
Continuous Quality ◽  
Production Processes ◽  
Metallurgical Company ◽  
Fmea Method

Abstract The possibility of use of Failure Mode and Effect Analysis methods is connected with continuous quality improvement of production processes in companies. Interdependence of the quality research methods and production process’s requirements have been taken into account. FMEA method is the analysis aimed at the disclosure and elimination of potential weaknesses of the process, that is the variants that may cause defects during its implementation. The example of implementing Failure Mode and Effect Analysis in polish companies have been presented.

Production System Improvement by Integration of FMEA with 5-Whys Analysis

2013 ◽  
Vol 748 ◽  
pp. 1203-1207 ◽  
Author(s):  
Siew Hong Ding ◽  
Nur Amalina Muhammad ◽  
Nur Hanisah Zulkurnaini ◽  
Amanina Nadia Khaider ◽  
Shahru Kamaruddin
Keyword(s):  
Failure Mode ◽  
Rapid Growth ◽  
Production System ◽  
Lower Cost ◽  
Semiconductor Industry ◽  
Drilling Machine ◽  
Effect Analysis ◽  
Marketing Environment ◽  
Root Cause ◽  
System Improvement

With the rapid growth of semiconductor industry, manufacturers are always seeking for improvement to produce better product quality with lower cost in order to survive under competitive marketing environment. However, these matters are easily affected by the failures occurred on the machines. Thus, this paper proposes framework using failure mode and effect analysis (FMEA) with 5-Whys analysis to discover the root cause of the failure furthermore to identify the effective solutions. Drilling machine has been used to justify the practicability of the proposed framework.

scholarly journals Risk Analysis in the Automotive Industry

2020 ◽  
Author(s):  
Annamária Koncz ◽  
László Pokorádi ◽  
Zsolt Csaba Johanyák
Keyword(s):  
Risk Analysis ◽  
Failure Mode ◽  
Automotive Industry ◽  
Root Cause Analysis ◽  
Automotive Sector ◽  
Analysis Method ◽  
Effect Analysis ◽  
Cause Analysis ◽  
Root Cause ◽  
Safety And Reliability

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.

scholarly journals Analisa defect produk sheet area corrugator 301 menggunakan metode SPC dan FMEA di PT Indah Kiat

2020 ◽  
Vol 12 (3) ◽  
pp. 332
Author(s):  
Evan Mandala Putra ◽  
Sri Mukti Wirawati ◽  
Pugy Gautama
Keyword(s):  
Process Control ◽  
Production Process ◽  
Statistical Process Control ◽  
Failure Mode ◽  
Failure Modes ◽  
Uneven Surface ◽  
Statistical Process ◽  
Effect Analysis ◽  
Product Defect ◽  
Fmea Method

This study aims to analyze defects in the sheet production process in the 301 Corrugator area by analyzing the total number of sheets produced and the number of sheets that have been damaged over a certain period of time using the Statistical Process Control (SPC) method and Failure Modes and Effect Analysis (FMEA). Based on the research results, there are 6 defects, namely untidy cuts, wrinkled sheets, uneven surface, curved sheets, uneven sides, loose sheet layers. The most dominant defect is uneven surface, which is 185.141 Kg or 60%. Based on the value of the RPN table, the product defect that has the highest value is the loose sheet layer with an RPN value of 245 from the calculation stage of the RPN value, a suggestion is made to reduce defects resulting from the loose sheet layer. From the stage of making improvements, the company should prioritize and focus on the types of disabilities and types of disabilities that have the highest RPN ranking when using the Failure Mode and Effect Analysis (FMEA) method.

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