scholarly journals An analysis for providing safety in the cooking oil production process through FMECA approach

2016 ◽  
Vol 5 (2) ◽  
pp. 151
Author(s):  
Benedictus Rahardjo ◽  
Bernard Jiang
Keyword(s):  
Production Process ◽  
Failure Mode ◽  
Mode Effects ◽  
Cooking Oil ◽  
Before And After ◽  
Potential Failure ◽  
Corrective Actions ◽  
The Difference ◽  
Criticality Analysis

This study attempts to apply Failure Mode Effects and Criticality Analysis (FMECA) to improve the safety of production system, especially on the production process of an oil company in Indonesia. Since food processing is a worldwide issue and the self management of a food company is more important than relying on government regulations, so the purpose of this study is to identify and analyze the criticality of potential failure mode on the production process, then take corrective actions to minimize the probability of making the same failure mode and re-analyze its criticality. This corrective actions are compared with the before improvement condition by testing the significance of the difference between before and after improvement using two sample t-test. Final result that had been measured is Criticality Priority Number (CPN), which refers to severity category and probability of making the same failure mode. Recommended actions that proposed on the part of FMECA give less CPN significantly compare with before improvement, with increment by 48.33% on coconut cooking oil case study.

scholarly journals Clarisa Product Quality Control Using Methods Lean Six Sigma and Fmeca Method (Failure Mode And Effect Cricitality Analysis) (Case Study: Pt. Maspion Iii)

2021 ◽  
Vol 4 (1) ◽  
pp. 47-56
Author(s):  
Achmad Rifki Andriansyah ◽  
Wiwik Sulistyowati
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Product Quality ◽  
Failure Mode ◽  
Six Sigma ◽  
Lean Six Sigma ◽  
Qualitative Approaches ◽  
Criticality Analysis ◽  
A Company

PT. Maspion III is a company engaged in household appliances products, In carrying out its production process activities PT. Maspion III experiences various problems. Clarisa products are products that are found reject or defective. because it is caused by suboptimal quality control. This can be seen from the number of reject or defect products. This study aims to determine the type of waste that causes defects, determine the capability of the production process, and provide recommendations for improvement in the production process. The research methods are quantitative and qualitative approaches to lean six sigma and yang and FMECA (Failure Mode and Effect Criticality Analysis). lean six sigma is a systemic and systematic approach to identifying and eliminating waste. FMECA (Failure Mode and Effect Criticality Analysis) is used as a reference for companies to take corrective actions to identify product critical points in the production process. The results obtained are waste that affects product quality, namely waste defect, there are two highest defects, namely floi with a cumulative presentation of 51% and a breakage of 65%. In August the capability process is 1.5012, In September the capability process is 1.6818, In October the capability process is 1.3727, In November the capability process is 1.4275, In December the capability process is 1.4366

FTA-Based Reliability Measurement of Test-Bed System

2013 ◽  
Vol 791-793 ◽  
pp. 922-925 ◽  
Author(s):  
Qi Lin ◽  
Yong Chen
Keyword(s):  
Reliability Analysis ◽  
Failure Mode ◽  
Fault Tree Analysis ◽  
Reliability Function ◽  
Test Bed ◽  
Tree Analysis ◽  
Mode Effects ◽  
Criticality Analysis ◽  
Reliability Measurement

The significance of reliability researches are described first. It is necessary to know concepts of reliability without a doubt, and most common measures of reliability are discussed, including reliability function and failure rate. It emphasizes two important analysis approaches: Failure Mode, Effects, and Criticality Analysis (FMECA) and Fault-Tree Analysis (FTA). Last, it provides the quantified result of reliability analysis of a test-bed system with FTA-based RiskA software as a case study, which shows the usefulness of FTA-based reliability measurement.

A STATE-OF-THE-ART REVIEW OF FMEA/FMECA

1994 ◽  
Vol 01 (04) ◽  
pp. 515-543 ◽  
Author(s):  
ABDELKADER BOUTI ◽  
DAOUD AIT KADI
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
State Of The Art ◽  
Analysis Procedure ◽  
Basic Principles ◽  
Mode Effects ◽  
System Service ◽  
Computer Codes ◽  
Potential Failure ◽  
Criticality Analysis

The Failure Mode and Effects Analysis (FMEA) documents single failures of a system, by identifying the failure modes, and the causes and effects of each potential failure mode on system service and defining appropriate detection procedures and corrective actions. When extended by Criticality Analysis procedure (CA) for failure modes classification, it is known as Failure Mode Effects and Criticality Analysis (FMECA). The present paper presents a literature review of FME(C)A, covering the following aspects: description and review of the basic principles of FME(C)A, types, enhancement of the method, automation and available computer codes, combination with other techniques and specific applications. We conclude with a discussion of various issues raised as a result of the review.

scholarly journals A Novel Approach to Support Failure Mode, Effects, and Criticality Analysis Based on Complex Networks

Entropy ◽  
2019 ◽  
Vol 21 (12) ◽  
pp. 1230 ◽  
Author(s):  
Lixiang Wang ◽  
Wei Dai ◽  
Guixiu Luo ◽  
Yu Zhao
Keyword(s):  
Complex Networks ◽  
Failure Mode ◽  
Failure Modes ◽  
Weighted Graph ◽  
Complex Network Theory ◽  
Mode Effects ◽  
Novel Approach ◽  
Potential Failure ◽  
The Impact ◽  
Criticality Analysis

Failure Mode, Effects and Criticality Analysis (FMECA) is a method which involves quantitative failure analysis. It systematically examines potential failure modes in a system, as well as the components of the system, to determine the impact of a failure. In addition, it is one of the most powerful techniques used for risk assessment and maintenance management. However, various drawbacks are inherent to the classical FMECA method, especially in ranking failure modes. This paper proposes a novel approach that uses complex networks theory to support FMECA. Firstly, the failure modes and their causes and effects are defined as nodes, and according to the logical relationship between failure modes, and their causes and effects, a weighted graph is established. Secondly, we use complex network theory to analyze the weighted graph, and the entropy centrality approach is applied to identify influential nodes. Finally, a real-world case is presented to illustrate and verify the proposed method.

Failure Mode, Effects, and Criticality Analysis (FMECA)

1993 ◽  
Author(s):  
Robert Borgovini ◽  
Stephen Pemberton ◽  
Michael Rossi
Keyword(s):  
Failure Mode ◽  
Mode Effects ◽  
Criticality Analysis

scholarly journals Addressing Health Insurance Deductions through an Interventional Study: the Case of a Large Central Hospital

2016 ◽  
Vol 11 (2) ◽  
pp. 39-48
Author(s):  
Erfan Kharazmi ◽  
Asiyeh Salehi ◽  
Neda Hashemi ◽  
Shekufe Ghaderi ◽  
Nahid Hatam
Keyword(s):  
Healthcare Provider ◽  
Failure Mode ◽  
Armed Forces ◽  
Healthcare Services ◽  
Intervention Programs ◽  
Medical Services ◽  
Mode Effects ◽  
The Social ◽  
Potential Failure ◽  
Efficiency And Productivity

Objective: A large proportion of hospitals’ private income is provided by insurance organisations. Hospitals in Iran face various problems in terms of insurance deductions from insurance organisations resulting from inefficient performance by both the hospitals and the insurers. These problems necessitate more specific cost control in this area. This research assesses the causes of insurance deductions by using the Failure Mode Effects Analysis (FMEA) technique, and addresses the issues resulting in deductions by providing some interventions through the Pareto technique. Design: The 10-step pattern of FMEA was implemented for assessing the main causes of insurance deduction in this study. Setting: Data was collected from deduced amounts by three main/largest contracting party insurance organisations (e.g. the Social Security Insurance Organisation, Medical Services Insurance Organisation and Armed Forces Medical Services Insurance Organisation of Namazi Hospital, a large healthcare provider in the South of Iran, in 2014. Findings: Sixty-five potential failure causes were identified, of which 26 were related to the anaesthesia unit, 23 were related to the surgery room unit and 16 were related to the hospitalisation unit. Deductions in the anaesthesia and hospitalisation units and the surgery room were reduced after intervention programs by 14.42%, 57.76%, and 51.52%, respectively. Conclusions: Using the FMEA technique in a large healthcare provider in Iran resulted in identifying the main causes of insurance deductions and provided intervention programs in order to increase the efficiency and productivity of healthcare services. Abbreviations: FMEA – Failure Mode Effects Analysis; RPN – Risk Priority Number.

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