If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. IntroductionQuality and reliability of products and manufacturing processes are absolutely critical to the manufacturing outcome -the functional performance of the final products. To ensure good product quality, an efficient and comprehensive quality system must be established in the very early stage of product design. All engineers involved in the project should consider process/product quality and reliability while performing their tasks. For example, the product and design engineers must embed quality and reliability into part design, since even a most advanced and reliable manufacturing operation will not be able to improve the product reliability over the designed reliability. The best product reliability is the designed reliability specified in the product design. Therefore, if there is a reliability problem in the product, engineers must examine the following two things. First, the production team must check the adequacy of the product design. The design may not meet the customer's reliability requirements. Second, the production team should examine the possible flaws in manufacturing operations. In this case, system reliability must be evaluated and improved, and quality control has to be performed at a satisfactory level.In order to meet product reliability requirements, reliability analysis must contain both product design and process operations. Failure mode and effects analysis (FMEA) is a popular tool for reliability and failure-mode analysis. To cover both design and production, FMEA should include the activities at both design and manufacturing stages. It is common and critical to conduct reliability analysis at the earliest stage of the product life cycle. Design and product engineers need to work with a project team that at least includes customers, reliability engineers and manufacturing engineers to identify the potential quality and reliability failures in the design process. Hence, the problems can be eliminated as early as possible to avoid complicated and costly correction processes. Fault tree analysis (FTA) is another popular tool used to analyse product failures. Through known probabilities of each potential failure
2008),"Failure mode and effects analysis (FMEA) in the context of risk management in new product development: A case study in an automotive company", International Journal of Quality & Reliability Management, Vol. 25 Iss 9 pp. 899-912 http:// dx.If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The aim of this research was to call attention to the implementation of failure mode and effects analysis (FMEA) in a collaborative environment, the issues occurred in the implementation process, and a tool that can be used by all parties in a collaborative environment for FMEA process. Design/methodology/approach -The discussion includes the procedure of an integrated FMEA approach, how to implement the procedure in a supply chain, and the common problems occurred in its implementation in automotive industry under a collaborative environment. Findings -The research provided an example of inconsistency in the ranking of severity, occurrence, and detection to show that the inconsistency may delay FMEA implementation in a supply chain. Originality/value -This study offered guidelines for manufacturing industry in correcting the problems in FMEA applications, so companies can adopt their FMEA process into a collaborative supply chain environment. This paper also demonstrated a Microsoft EXCEL-based tool that can ease the FMEA process in a collaborative environment for determining sampling size, reliability and confidence level for tests in design verification and control plan as a part of integrated FMEA process.
Product reliability is determined at its design stage and must be identified to adequately evaluate the feasibility of the current design. Reliability prediction provides the means to design verification and optimum modification. A design team must detect any potential reliability problems before the completion of the product design. This paper presents an approach to include the use of a reliability block diagram for reliability prediction, a fault tree analysis for detecting possible failures, and the axiomatic design procedure in the product design evaluation process. The discussion includes the reliability analysis of a passenger side airbag inflator design. The modification of the current inflator design is also discussed.
Testing integrated circuits under delay defects becomes an essential quality control step in nanometer fabrication technologies, which encounter inevitable process variations. Prior methods on automatic test pattern generation (ATPG) for delay defects, however, are either overly simplified (e.g., timing unaware) or computationally too expensive. This paper proposes a viable ATPG method based on a satisfiability (SAT) formulation using timed characteristic functions (TCFs), which gained notable scalability enhancement very recently. The approach provides a balanced trade-off between accuracy and efficiency. Experimental results show promising runtime and fault coverage improvements over prior SAT-based timing-aware ATPG methods. Moreover, our method provides a nice complement to commercial tools in enhancing test quality.
Purpose -To show that handling warranty returns is essential in a supply chain for product/process improvement and that the major step in resolving warranty return problems is to correctly classify the returned parts and identify the problem(s). Design/methodology/approach -Demonstrates two classification processes that separate available warranty returned parts into correct categories. Findings -The result of these two processes provides pertinent parties in the supply chain more accurate warranty failure information, so the companies involved can precisely pin-point the source of the failure cause in the products and improve the product's design and manufacturing. Meanwhile, it also resolves potential conflicts in a supply chain and assigns responsibility to the right party to cover incurred warranty repair cost. Its applications can enhance quality and reliability management in a supply chain and streamline the reverse logistics operations in the chain. Originality/value -This paper offers companies an effective procedure in reducing wrongly classified warranty returns and makes root cause analysis of warranty returns more efficient.
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