• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.271-274
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• 2002

The aim of FMEA method which is already generalized in the industry engineering is to grasp a possibility that defect forms will appear. And it is a means of prevention step to let person remove obstacles which have an influence on customers beforehand in order. The two parts of FMEA are Design FMEA which we prepare in an early stage and Process FMEA which we prepare in time previous to mass production. This Study apply Process FMEA to execution fields of the construction industry.

• International Journal of Quality Innovation
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• v.8 no.1
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• pp.137-153
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• 2007

Failure mode and effects analysis (FMEA) is a preventive technique in reliability management field. The successful implementation of FMEA technique can avoid or reduce the probability of system failure and achieve good product quality. The FMEA technique had applied in vest scopes which include aerospace, automatic, electronic, mechanic and service industry. The marking process is one of the back ends testing process that is the final process in semiconductor process. The marking process failure can cause bad final product quality and return although is not a primary process. So, how to improve the quality of marking process is one of important production job for semiconductor testing factory. This research firstly implements FMEA technique in laser marking process improvement on semiconductor testing factory and finds out which subsystem has priority failure risk. Secondly, a CCD position solution for priority failure risk subsystem is provided and evaluated. According analysis result, FMEA and CCD position implementation solution for laser marking process improvement can increase yield rate and reduce production cost. Implementation method of this research can provide semiconductor testing factory for reference in laser marking process improvement.

• Industrial Engineering and Management Systems
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• v.14 no.4
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• pp.379-391
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• 2015

Several risk assessment techniques have been presented and investigated in previous research, focusing mainly on the failure mode and effect analysis (FMEA). FMEA can be employed to determine where failures can occur within industrial systems and to assess the impact of such failures. This research proposes a novel methodology for hazard analysis and risk assessments that integrates FMEA with the bow-tie model. The proposed method has been applied and evaluated in a real industrial process, illustrating the effectiveness of the proposed method. Specifically, the bowtie diagram of the critical equipment in the adopted plant in the case study was built. Safety critical barriers are identified and each of these is assigned to industrial process with an individual responsible. The detection rating to the failure mode and the values of risk priority number (RPN) are calculated. The analysis shows the high values of RPN are 500 and 490 in this process. A global corrective actions are suggested to improve the RPN measure. Further managerial insights have been provided.

• Proceedings of the Korea Society of Design Studies Conference
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• 2003.05a
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• pp.78-79
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• 2003

• Journal of Applied Reliability
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• v.17 no.1
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• pp.28-37
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• 2017

Purpose: This paper proposes a procedure that may infer and identify interaction failures in a module. Methods: In design FMEA, we defined an interaction model between components and proposed a method for selecting a single component by using the standard specification classification table and four methods for choosing the related components. We also introduced the function tree for function and requirement characteristic analysis and proposed utilization of standard stress lists and 1st and 2nd stress analysis tables to determine the effect the stress analysis has on interactions. Finally, the interaction mechanism diagram was proposed and used to infer the failure mechanism. Process FMEA also established procedures in a similar way. Results: We established a procedure for predicting the failure mode due to interaction between components based on Company A's multi-step FMEA procedure. Conclusion: By applying the proposed interaction FMEA procedure to the development model, we were able to confirm the effect of the new derivation on the failure mode of interaction, which was not predicted by the existing FMEA.

• Proceedings of the KSR Conference
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• 2006.11b
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• pp.251-261
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• 2006

FMEA(Failure Mode and Effects) is a procedure for the analysis of a system to identify the potential failure modes, and their effects and causes to reduce or mitigate the critical effects of the system. Recently, FMEA is used in various industries and it is specialized in each industry. For instance, MIL-1629a in Military industry, SAE-J1739 in Automotive industry and other industry are using specialized FMEA method. Though Railroad industry requires the high reliability system, it does not have the FMEA method which is specialized to them. So in this paper, we examined the MIL-1629a, SAE-J1739, IEC-60812 and compared those standards. Furthermore, we propose the FMEA method that is specialized to the railroad system.

• Journal of Applied Reliability
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• v.10 no.2
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• pp.123-135
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• 2010

Failure mode and effects analysis (FMEA) is a widely used technique to assess or to improve reliability of products or processes at early stage of development. Traditionally, the prioritization of failures for corrective actions is performed by evaluating risk priority numbers (RPN). In practice, due to insufficient evaluation criteria specific to related products and processes, RPN is not always evaluated properly. This paper reestablishes an effective methodology for prioritization of failure modes in FMEA procedure. Revised evaluation criteria of RPN are devised and a refined FMEA sheet is introduced. To verify the proposed methodology, it is applied to inspection processes of PCB products.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.1
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• pp.177-186
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• 2014

Failure mode and effect analysis (FMEA) is a systematic approach for identifying potential failures before they occur, with the intent to minimize the risk associated with them. It has been widely used in the various manufacturing industries as a solution to reliability problems. As the importance of the service sector is increasing, however, it has been recently extended to some applications in services. Despite these attempts, FMEA cannot be directly applied to the reliability problems in a service industry. Due to the heterogeneity and customer participation in service process, we cannot perfectly prevent service failures. For this reason, we suggest a new risk priority number with three input parameters that consist of severity, probability of occurrence, and recoverability. In this paper, we propose an approach for assessing service risk and service reliability using the service-oriented risk priority number (S-RPN). An example regarding a hypermarket service process is used to demonstrate the proposed approach.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.252-258
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• 2016

Risk identification based on the government quality assurance activity for military goods is being conducted to determine the risks to be reflected in a government quality assurance plan. On the other hand, current risk evaluation method focuses mainly on the functional requirements of the product specifications, which is a lack of reflection and identification of risks considering the process and the method is determined from a personal opinion, for example experience and know-how, which results in a lack of objectivity. Therefore, a standard of judgment according to quantitative data, which includes the present process control data using the FMEA method is required to improve the objectivity and dependability. This paper proposes useful suggestions for a government quality planning method to apply the results of FMEA to hand grenades.

• Journal of Korean Society for Quality Management
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• v.39 no.2
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• pp.217-233
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• 2011

This paper introduces service failure management on internet shopping environment. The purpose of this study is to find and improve service failure modes at the time of customer's complaint thereby reducing that. To achieve this purpose, this study combines the Service Blueprint which describes the online shopping process and FMEA which finds each encounter of service failures and proposes how to recover them. First of all this study generates internet shopping process using Service Blueprint then matches customer's purchase decision making process and company's service provide process. After this process customer complaint types in real purchasing process are fell in according to their occurrence and more frequently occurred complaint is more risky. Finally 6 Risk Priority Numbers(unfair exchange/return policies, slow response/poor customer service support, purchase arrived later than promised/deliverly service dissatisfaction, dissatisfaction short period to take back/exchange/cancels order, A/S or handle defective item) are extracted and suggest their improvement.