A Systematized FMEA Practice for Magnet Relays

2010 ◽  
Vol 146-147 ◽  
pp. 757-769
Author(s):  
Ching Ming Cheng ◽  
Wen Fang Wu ◽  
Yao Hsu

The Design Failure Modes and Effects Analysis (DFMEA) are generally applied to risk management of New Product Development (NPD) through standardization of potential failure modes and effect-ranking of rating criterion with failure modes. Typical 1 to 10 of effect-ranking are widely weighed the priority of classification, that framing effects and status quo senses might cause decision trap happening thus. The FMEA follows considerable indexes which are including Severity, Occurrence and Detection, and need be associated with difference between every two failures individually. However, we suspect that a more systematic construction of the analysis by which failure modes belong is necessary in order to make intellectual progress in this area. Two ways of such differentiation and construction are improvable effect-ranking and systematized indexes; here we resolve for attributes of failures with classification, maturity and experiance of indexes according to an existing rule. In Severity model, the larger differentiation is achieved by separating indexes to the classification of the Law & Regulation, Function and Cosmetic. Occurrence model has its characteristic a reliable ranking indexwhich assists decisionmakers to manage their venture. This is the model most closely associate with product maturity by grouping indexes to the new, extend and series product. Detection model offers a special perspective on cost; here the connections concerned with phase occasion of the review, verification and validation. Such differentiations will be proposed and mapped with the Life Cycle Profile (LCP) to systematize FMEA. Meanwhile, a more reasonable Risk Priority Number (RPN) with the new weighting rule will be worked out for effect-ranking and management system will be integrated systematiclly

2004 ◽  
Vol 47 (1) ◽  
pp. 51-56 ◽  
Author(s):  
John Bowles

The Risk Priority Number methodology for prioritizing failure modes is an integral part of the Automobile Failure Modes and Effects Analysis (FMECA) technique. This technique consists of ranking potential failures from 1 to 10 with respect to their severity, probability of occurrence, and likelihood of detection in later tests, and multiplying the numbers. The result is a numerical ranking, called the RPN, on a scale from 1 to 1000. Potential failure modes having higher RPNs are assumed to have a higher design risk than those having lower values. Although this method is well documented and easy to apply, it is seriously flawed from a technical perspective, making the interpretation of the analysis results problematic. Problems with the methodology include: use of ordinal ranking numbers as numeric quantities; lack of continuity in the RPN measurement scale; duplicate RPN values with extremely different characteristics; and varying sensitivity to small changes. Recommendations for an improved methodology are provided.


2012 ◽  
Vol 522 ◽  
pp. 842-846
Author(s):  
Song Chen ◽  
Ye Zhuang Tian ◽  
Yang Yang ◽  
Liu Yan

Design-manufacturing integration is one of the most signicant contemporary trends in new product development (NPD) for manufacturing enterprises. Exploring the implementation capability of manufacturing enterprises through the assessment of design-manufacturing integration is an important and crucial step for determining what kind of design-manufacturing integration is appropriate for manufacturing enterprises. However, quantitative evaluation of design-manufacturing integration is rather limited so far. In this paper, we view design-manufacturing integration as a complex adaptive system (CAS), an effective evaluation method for design-manufacturing integration is proposed. To classify the manufacturing enterprises into which can quickly adapt to the environment or not, support vector machine is utilized. Selecting relevant features among the features available for classification of was also dealt with. The experiment results demonstrate the proposed method is useful for Design-manufacturing integration quantitatively.


2009 ◽  
Vol 12 (1) ◽  
pp. 62-85 ◽  
Author(s):  
Eric Brun ◽  
Alf Steinar Saetre ◽  
Martin Gjelsvik

2012 ◽  
Vol 32 (3) ◽  
pp. 505-514 ◽  
Author(s):  
Sibel Ozilgen

The Failure Mode and Effect Analysis (FMEA) was applied for risk assessment of confectionary manufacturing, in whichthe traditional methods and equipment were intensively used in the production. Potential failure modes and effects as well as their possible causes were identified in the process flow. Processing stages that involve intensive handling of food by workers had the highest risk priority numbers (RPN = 216 and 189), followed by chemical contamination risks in different stages of the process. The application of corrective actions substantially reduced the RPN (risk priority number) values. Therefore, the implementation of FMEA (The Failure Mode and Effect Analysis) model in confectionary manufacturing improved the safety and quality of the final products.


2010 ◽  
Vol 29-32 ◽  
pp. 2386-2391 ◽  
Author(s):  
Xing Yu Jiang ◽  
Xue Yan Sun ◽  
Shi Jie Wang ◽  
Wan Shan Wang

To cope with the challenges of product quality design system applied in new product development (NPD), a new method of quality control for NPD-collaborative quality design mode, which integrates voice of customer, quality function deployment (QFD) and failure modes and effect analysis (FMEA) , and corresponding functional modules and framework were all put forward. This mode dealt mainly with constructing and running collaborative quality design system, integrated several enabling technologies such as the integration of QFD and FMEA, task distribution of quality design, integrated technology of computer-supported-collaborative work (CSCW). On the basis of these, applying Java, JSP and JavaServlet to the system, improve working efficiency and shorten the development cycle so as to respond to the fluctuation of market demands as quick as possible. The quality design of some automobile was introduced as an example to verify that the system developed would efficiently meet the requirements of NPD.


2018 ◽  
Vol 204 ◽  
pp. 01012
Author(s):  
Hilma Raimona Zadry ◽  
Dendi Adi Saputra ◽  
Agung Budiman Tabri ◽  
Difana Meilani ◽  
Dina Rahmayanti

The Failure Modes and Effects Analysis (FMEA) method has been widely recognized as a tool that systematically identifies the consequences and failures of the system or process, and reduces or eliminates the chances of the failure. This study applies that method to evaluate the causes of failure in the use of sugarcane machine that have been designed in the previous studies. FMEA approach anticipated the failures at the design stage, so that a more reliable and ergonomic design can be produced for future sugarcane machine. The potential failure identified from the machine consists of capacity issues, machine maintenance, preliminary treatment, and procedures of use. The study found that capacity issues are the priority problems that cause the machine failure. Then, this study proposed some actions to reduce the risk priority number (RPN) on 12 failures.


1988 ◽  
Vol 22 (5) ◽  
pp. 412-415
Author(s):  
Ramon M. Fusaro

A flexible system of classifying topical corticosteroid proprietaries is proposed to help the clinician understand the relative antiinflammatory potency of these products. This system has the advantage of indicating not only the relative potency of a specific proprietary preparation but also noting the number of divisions in the classification. It allows for new product development and keeps the clinician informed of the change by the number of divisions being used. The system also has the potential for the classification of relative severity of both local and systemic side effects of corticosteroids.


Author(s):  
Amihud Hari ◽  
Menachem P. Weiss

Abstract It has been established and widely accepted that the early phases of the engineering design process are the most critical to the technical and economical success of a new product. Most of the product’s performance and failures are determined and more than 75% of its life cycle cost is committed during the conceptual design phase. A major step in all conceptual design methodologies is the concept selection phase, where out of the many concepts generated, one is selected and it becomes the basis for the favored solution. Such a selection must be influenced by the potential failure modes, that the product, which is based on the chosen concept, may suffer from and will be exposed to in the future. In the past, the well established Failure Mode and Effects Analysis - FMEA was used for this purpose, but in the system level only. The proposed, new Conceptual Failure Mode Analysis - CFMA is a modified version of FMEA, that was developed for use in the conceptual design phase of a new product. CFMA enables to select the preferred concept (out of many generated), based also on future potential failure modes. CFMA is considered by the authors, as a major and important attribute in concept selection, that can now be taken into account in new concepts evaluation. CFMA is also shown as a vital part of the prescriptive Integrated, Customer Driven, Conceptual Design Method - ICDM, that has recently been introduced by the authors. It is the aim of this paper to introduce CFMA as a substantial additional tool for concept selection.


2019 ◽  
Vol 25 (2) ◽  
pp. 250-270 ◽  
Author(s):  
Debora Bettiga ◽  
Federica Ciccullo

Purpose Co-creation along the new product development (NPD) seems the winning approach in nowadays market. The purpose of this paper is to explore the collaboration and interaction flows between suppliers and customers in co-creation initiatives devoted to NPD. Design/methodology/approach After developing a classification of demand-side and supply-side involvement in co-creation along the NPD process, 13 cases of co-creation in the consumer goods industry, within the Italian context, have been analyzed. Findings Three patterns of co-creation have been identified: supplier-driven approach: companies co-creating with suppliers in multiple NPD phases, while involving customers only in one; customer-driven approach: companies involving customers in multiple phases, while engaging suppliers only in one and firm-driven approach: companies involving both customers and suppliers in one single phase. Further, the locus of relevant knowledge drives to different co-creation approaches. Research limitations/implications The work contributes to extant literature by: providing a classification of demand-side and supply-side involvement in NPD; empirically investigating the interaction flows between customers and suppliers in co-creation initiatives along the NPD; highlighting the factors potentially affecting a concurrent involvement of customers and suppliers in NPD. Practical implications The findings can help to efficiently and effectively design and manage the relation with both suppliers and customers in co-creation projects devoted to NPD. Originality/value The involvement of suppliers and customers in co-creation initiatives has been so far analyzed only separately in literature. This study opens a new stream of research, stressing how the evolution of the market, toward a more participative one, spurs the need to investigate the collaboration and interaction flows between the two actors.


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