A Case Study: A Process FMEA Tool to Enhance Quality and Efficiency of Manufacturing Industry

Parsana, Tejaskumar S.; Patel, Mihir Thakorbhai

doi:10.9756/bijiems.10350

Cited by 40 publications

(25 citation statements)

References 5 publications

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“…Risk Priority Number can figure out the seriousness of potential risk indicated the larger RPN values. If the RPN is identical, the Severity (S) multiply by Occurrence (O) = S x O should be considered because the occurrence plays more role after the severity in risk management [11]. 2) Project Risk Management Project risk management is part of the Project Management Book of Knowledge (PMBOK) which are generally accepted as the greatest practice within project management [13].…”

Section: Methodsmentioning

confidence: 99%

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IT Risk Identification and Evaluation: a Case Study on XYZ University

Albertivan¹,

Limantara²,

Rachmadiati³

et al. 2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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The purpose of this paper is to demonstrate that Failure Mode Effect Analysis (FMEA) can be applied to the educational field to identify various failure modes and its potential failure effect that could occur in anytime. FMEA is widely used in a design, a manufacturing or assembly process, or a product and service for identifying all possible failures. Risk identification is part of risk management. Therefore it is a critical first step of it. This paper is a case study on XYZ University which trying to implement risk management which only focused on how to identify the risk using FMEA. FMEA needs some parameters to be defined which are severity values, the likelihood of occurrence, and detection. Risk Priority Number (RPN) is a matrix that indicates potential risk calculated by multiplying the three components, and it used to classify which should be taken care of first based on the highest RPN value. Filtering the ticketing system and mapped the incidents that happened to the current business process is how the data collected, also the interview to end user for validation. The result of this paper is astonishing because it is different from the initial expectation that business process like LMS or network facility will get the highest RPN value, but after doing all the process, it is found that telecommunication is at the top. Surely this provides a new perspective to risk management to be slicker in handling potential one.

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Section: Methodsmentioning

confidence: 99%

“…FMEA is also studied by Tejaskumar S.Parsana dan Mihi T. Patel to improve the quality and efficiency of Manufacturing Industry. The prevention action also proposed according to risk prioritization [26].…”

Section: Related Workmentioning

confidence: 99%

IT Risk Identification and Evaluation: a Case Study on XYZ University

Albertivan¹,

Limantara²,

Rachmadiati³

et al. 2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…The higher number RPN represents a higher risk of defects. [6] For the analysis of the various failure modes and their potential consequences could be applied Ishikawa diagram also called as Fishbone diagram. This diagram is simple graphic method for root cause analysis of any problems.…”

Section: Rpn Severity Occurence Detectionmentioning

confidence: 99%

Methodologies to Improve Experimental Research Processes in Soldering Technology

Benešová

Hirman

Navrátil

et al. 2016

Period. Polytech. Elec. Eng. Comp. Sci.

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This article introduces the possibility of using optimization methods Failure Mode and Effect Analysis (FMEA) and Design of Experiments (DOE) IntroductionThis article is aimed at verifying the use of optimization methods commonly used to optimize manufacturing processes to improve experimental research processes. The experiment is an essential part of scientific research. Each experiment has three phases: pre-experimental planning, execution and finally the analysis of collected data. The aim of the experiment is to verify certain predetermined hypothesis. For this reason, scientific experiments should be repeatable and therefore verifiable. The experiment is actually a pre-planned process in which the researcher can change the input conditions and parameters. It is therefore a process of factors combination testing that will affect the final result of the experiment. It would be appropriate to reduce the duration of the experiment and to prevent defects and testing of all factors. That means only test factors with the greatest influence on the experiment are tested.[1]The impact of cleaning methods on mechanical shear strength of the solder joints on the rigid substrate flame retardant (FR-4) was selected to verify the suitability of optimization methods using to experiment evaluating. After the phase of the experiment results were evaluated according to the Design of Experiments (DOE) methodology, which is used to determine the important factors and Student's t-test, method of mathematical statistics. J.C.F. de Winter presented in his article, e.g [2], that the t-test can be applied if the researcher conducts research with an extremely small sample size (N ≤ 5) and also in case of unequal variances or unequal sample sizes. The evaluated factors were compared with selected factors by Failure Mode and Effect Analysis (FMEA) methodology. At the end of the experiment there was evaluation whether it is useful and appropriate to use FMEA methodology for determining factors that should be tested.FMEA methodology is currently used to optimize not only manufacturing processes, but also in new product concepts. Currently, there are three basic types of FMEA methodology. These types include: System FMEA, Process FMEA and Design FMEA. These types differ on the basis of what is to be assessed. System FMEA is focused on entire system. Conversely Design FMEA assesses the risks associated only with

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“…Several studies have shown that FMEA is a fairly effective technique for assessing risk [25]. For example, it has been employed in studies on supply chain risk management [26], analysis and problems on small-scale textile business [27], waste risk measurement [28], and new product development [29]. Other studies on FMEA have been carried out related to the improvement of the quality and efficiency of manufacturing [30].…”

Section: Introductionmentioning

confidence: 99%

The Integration of MAFMA and AHP Methods for Analysis and Risk Mitigation of Pasteurized Milk Production

Santoso

Sa’adah

Sari

et al. 2018

J. Eng. Technol. Sci.

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Risk and uncertainty management is an important task in industry. Risks in raw materials such as livestock products may occur from the feed. The production process is also exposed to risks, which may be caused by controllable variables. In final products, uncontrollable actions may also pose risks. This research aimed to figure out the risks and their causes in the production process of milk and to discover applicable mitigation strategies. The methods used in this study were the Multi-Attribute Failure Mode Analysis (MAFMA) method to find the causes and Analytic Hierarchy Process (AHP) to discover mitigation strategies. The results were in the form of risks in the production process caused by: 1) raw materials, 2) the production process, 3) human resources, and 4) machinery and equipment. The highest risk in the production process is posed by undetected damage to machinery and contamination during the production process. However, both are rooted in human error: poorly trained workers, omission of checking or testing, and poor supervision of the process. Mitigation strategies, i.e. standardization and supervision of the raw materials, production process, and final product, were implemented to reduce the potential risks. In the implementation of these strategies, worker participation, either as controller or as supervisor, is very important.

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A Case Study: A Process FMEA Tool to Enhance Quality and Efficiency of Manufacturing Industry

Abstract: Abstract---

Cited by 40 publications

References 5 publications

IT Risk Identification and Evaluation: a Case Study on XYZ University

IT Risk Identification and Evaluation: a Case Study on XYZ University

Methodologies to Improve Experimental Research Processes in Soldering Technology

The Integration of MAFMA and AHP Methods for Analysis and Risk Mitigation of Pasteurized Milk Production

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