{"title":"Thought-provoking gems from my reliability experience","authors":"C. Ryerson","doi":"10.1109/ARMS.1989.49607","DOIUrl":"https://doi.org/10.1109/ARMS.1989.49607","url":null,"abstract":"The authors discuss the following seven topics: key government documents; elementary frustrations; the realistic approach syndrome; brain pool management; software reliability management; optimum packaging; and achievement vs. demonstration. The three other factors that are basic to cost-effective product assurance are identified, namely, control, assurance, and confirmation.<<ETX>>","PeriodicalId":430861,"journal":{"name":"Proceedings., Annual Reliability and Maintainability Symposium","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115001644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multilevel modular decomposition for multistate systems","authors":"J. Shao, K. Kapur","doi":"10.1109/ARMS.1989.49583","DOIUrl":"https://doi.org/10.1109/ARMS.1989.49583","url":null,"abstract":"A multilevel modular decomposition method along with a judgement of cumulative efficiency for s-coherent multistate systems is presented as an extension of modular decomposition. The concept of state tree analysis (STA), generalized module, and modular decomposition are introduced. The cumulative efficiency index of this method is developed and is found to be satisfactory. The method is comprehensive, applicable and easy to use by professionals in engineering to compute and analyze reliability of complex s-coherent multistate systems. A hypothetical airborne radar system is used as a case study to illustrate, step-by-step, the multilevel modular decomposition approach. The results are compared with the binary model.<<ETX>>","PeriodicalId":430861,"journal":{"name":"Proceedings., Annual Reliability and Maintainability Symposium","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129840864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reliability fix effectiveness factor estimation","authors":"G. J. Gibson, L. H. Crow","doi":"10.1109/ARMS.1989.49595","DOIUrl":"https://doi.org/10.1109/ARMS.1989.49595","url":null,"abstract":"A practical, statistically sound methodology is developed for estimating the average fix-effectiveness factor for corrective actions implemented during a reliability growth test phase. A fix-effectiveness factor is defined to be the percent decrease in a problem failure mode due to a corrective action. The approach utilizes the reliability growth projection model developed by L.H. Crow (1974). This model projects the reliability at the beginning of phase II of development testing based on failure data from phase I of development testing and assumes subjective fix-effectiveness factors. The authors reversed this process to estimate an average fix-effectiveness factor using the model and failure data from phase I and phase II. This approach is based on a number of assumptions which are developed and discussed in detail. Examples illustrating the practical application of the procedure are given.<<ETX>>","PeriodicalId":430861,"journal":{"name":"Proceedings., Annual Reliability and Maintainability Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128417021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"DESC testing program is a frontline defense for reliability","authors":"G. Robinson, B.P. McNicholl","doi":"10.1109/ARMS.1989.49645","DOIUrl":"https://doi.org/10.1109/ARMS.1989.49645","url":null,"abstract":"A description is given of the Defense Electronics Supply Center's (DESC's) testing program and test results. The primary objective of the program is to verify quality and reliability of replacement parts for the Center's customers. Five general programs have been developed to monitor and verify the key areas of quality relative to DESC procurements. Test results indicate increased quality with sampling. The DESC test facility is increasing the number of federal supply classes now sampled, as well as expanding their basic electronic testing capacity to include more environmental and specialized testing. Although areas such as environmental stress screening (ESS) are being studied, part characterization is identified as a much more urgent need.<<ETX>>","PeriodicalId":430861,"journal":{"name":"Proceedings., Annual Reliability and Maintainability Symposium","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126925953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sparing analysis-a multi-use planning tool","authors":"A. Myrick","doi":"10.1109/ARMS.1989.49553","DOIUrl":"https://doi.org/10.1109/ARMS.1989.49553","url":null,"abstract":"The applicability of the author's PC based sparing model to a typical supply system is shown with emphasis on the analysis as a tool for planning warranty costs, maintenance, the number of service personnel and level of training requirements, factory/repair facility workloads, and capital investment. This additional information is valuable in the R&M (reliability and maintainability) and logistics areas and is available early on in the development process. The model, which is based on a modified Poisson probability distribution, computes the number of initial spares required in inventory to assure at a preselected probability (confidence level) that a spare is available. It takes into account the number of units in service, failure rate for each replaceable unit, average turnaround time for repair or time to secure a replacement unit, confidence level selected for having a spare available, the support period, operational time, duty cycle, and whether units are screened before being returned for repair. The model is applicable to simple systems or to complex, multilevel systems and works equally well for repairable or discardable parts.<<ETX>>","PeriodicalId":430861,"journal":{"name":"Proceedings., Annual Reliability and Maintainability Symposium","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121064293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Availability analysis for series-parallel systems","authors":"H. R. Barton","doi":"10.1109/ARMS.1989.49657","DOIUrl":"https://doi.org/10.1109/ARMS.1989.49657","url":null,"abstract":"The application of complex redundancy relationships can enhance the cost-effective achievement of system availability objectives, but makes analysis more difficult. An automated state probability model called RELCOM2 is presented that can facilitate analysis, and assure accurate evaluation. The model can analyze a complex arrangement of up to six blocks, each comprised of up to 99 units. Larger numbers of units may be analyzed, but standard block diagram display formats are limited to 99. Since redundancy relationships in systems like AEGIS use large numbers of parallel units, such capacity is important in their analysis.<<ETX>>","PeriodicalId":430861,"journal":{"name":"Proceedings., Annual Reliability and Maintainability Symposium","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123820503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Less reliability and maintainability . . . not more . . . is better (effectively applying R&M influence to the design process)","authors":"N. Glassman, E. E. Rodriguez","doi":"10.1109/ARMS.1989.49603","DOIUrl":"https://doi.org/10.1109/ARMS.1989.49603","url":null,"abstract":"The authors offer a solution, implemented at Hughes Aircraft Company, to the problem of lack of communication between those responsible for reliability and maintainability and the design community. The solution, the supportability design evaluation system (SDES), recognizes that the result of effective communication can be achieved by reducing the need to communicate. This solution embeds reliability and maintainability analytical tools directly into the designer's CAD/CAE (computer-aided design/engineering) workstations. This provides the designer with online capability to evaluate his design in process and to capture reliability and maintainability improvements before metal is cut or mind-sets are established, and while time is available to do so.<<ETX>>","PeriodicalId":430861,"journal":{"name":"Proceedings., Annual Reliability and Maintainability Symposium","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127740067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Heger, F. A. Patterson-Hine, R. J. Harrington, B. Koen
{"title":"Reliability database development for use with an object-oriented fault tree evaluation program","authors":"A. Heger, F. A. Patterson-Hine, R. J. Harrington, B. Koen","doi":"10.1109/ARMS.1989.49616","DOIUrl":"https://doi.org/10.1109/ARMS.1989.49616","url":null,"abstract":"A description is given of the development of a fault-tree analysis method using object-oriented programming. In addition, the authors discuss the programs that have been developed or are under development to connect a fault-tree analysis routine to a reliability database. To assess the performance of the routines, a relational database simulating one of the nuclear power industry databases has been constructed. For a realistic assessment of the results of this project, the use of one of existing nuclear power reliability databases is planned.<<ETX>>","PeriodicalId":430861,"journal":{"name":"Proceedings., Annual Reliability and Maintainability Symposium","volume":"03 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127746782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The proportional hazards model in reliability","authors":"T. Mazzuchi, R. Soyer, R. Spring","doi":"10.1109/ARMS.1989.49611","DOIUrl":"https://doi.org/10.1109/ARMS.1989.49611","url":null,"abstract":"The regression model for survival analysis introduced by D.R. Cox (1972) was developed with applications to industrial reliability studies and medical studies in mind. While this model has had a significant impact on the biomedical field, it has received little attention in the reliability literature. An overview is presented of the Cox model (often referred to as the proportional hazards model), and the use of this model in several typical and important reliability applications is discussed. Possible extensions to the theory that arise out of these reliability applications are examined.<<ETX>>","PeriodicalId":430861,"journal":{"name":"Proceedings., Annual Reliability and Maintainability Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122949864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A top-down SFP analysis of a complex system","authors":"O. R. Green","doi":"10.1109/ARMS.1989.49591","DOIUrl":"https://doi.org/10.1109/ARMS.1989.49591","url":null,"abstract":"The single-failure points (SFPs) in a system can be found by either bottom-up or top-down analysis, since each SFP must cause a significant system-level failure effect. For a large complex system, top-down analysis can be more efficient. The authors present, as an example, a high-pressure air heater and its pressure controller, which are part of a hypersonic wind tunnel. The failure effect of concern is heater overpressurization. At least one failure in the pressure controller and one or more in the application safety features would be required for overpressure to occur. It is therefore concluded that there are no SFPs for heater overpressurization in this wind tunnel.<<ETX>>","PeriodicalId":430861,"journal":{"name":"Proceedings., Annual Reliability and Maintainability Symposium","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121433908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}