{"id":2358,"date":"2015-05-06T10:30:00","date_gmt":"2015-05-06T17:30:00","guid":{"rendered":"http:\/\/www.fmsreliability.com\/publishing\/?p=2358"},"modified":"2015-05-23T10:23:15","modified_gmt":"2015-05-23T17:23:15","slug":"making-use-of-reliability-statistics","status":"publish","type":"post","link":"https:\/\/www.fmsreliability.com\/publishing\/making-use-of-reliability-statistics\/","title":{"rendered":"Making Use of Reliability Statistics"},"content":{"rendered":"<p>If you and your team want to make better decisions with fewer errors or mistakes, then use the appropriate set of tools to gather and understand the data. Let the data inform you.<\/p>\n<p>Mastering the statistical tools related to reliability engineering allows you to master reliability. Identify, characterize, understand, predict, and improve reliability all require statistics. Let\u2019s discuss how it works and will work for you.<br \/>\nVariability causes failures. From the variability of material properties to use conditions all lead to the uncertainty of when and what will fail. Statistics is the language of variability. Given nearly everyone truly enjoyed their undergraduate probability and statistics course, let\u2019s start the discussion on essential elements of reliability statistics.<br \/>\nUnderstanding when something will likely fail provide real value to the design team and the business and the customer. We don\u2019t use statistics just because it\u2019s cool (which it is, btw), we use statistics to reveal problems, to characterize variability, and to make decisions. We use statistics to create reliable products. Let\u2019s review a couple of case studies where reliability statistics made the difference.<br \/>\nLet\u2019s explore maintenance planning for a fleet of escalators. Then let\u2019s examine a medical product field data and help the team focus on specific areas to improve the system\u2019s reliability. We\u2019ll finish the discussion with a short discussion on the next steps to get started when confronted with some data. Let\u2019s find the motivation to use reliability statistics, plus find the resources to learn the statistical tools necessary to be successful.<\/p>\n<p>Fred Schenkelberg, IEEE Reliability Society Evening Meeting, Santa Clara, CA May 7th 2015.<\/p>\n<p>Here&#8217;s the presentation.<\/p>\n<p><iframe loading=\"lazy\" src=\"\/\/www.slideshare.net\/slideshow\/embed_code\/key\/q81ytOllQqpFJ3\" width=\"595\" height=\"485\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" style=\"border:1px solid #CCC; border-width:1px; margin-bottom:5px; max-width: 100%;\" allowfullscreen> <\/iframe> <\/p>\n<div style=\"margin-bottom:5px\"> <strong> <a href=\"\/\/www.slideshare.net\/fms95032\/making-use-of-reliability-statistics\" title=\"Making use of reliability statistics\" target=\"_blank\">Making use of reliability statistics<\/a> <\/strong> from <strong><a href=\"\/\/www.slideshare.net\/fms95032\" target=\"_blank\">FMS Reliability<\/a><\/strong> <\/div>\n","protected":false},"excerpt":{"rendered":"<p>If you and your team want to make better decisions with fewer errors or mistakes, then use the appropriate set of tools to gather and understand the data. Let the data inform you. Mastering the statistical tools related to reliability engineering allows you to master reliability. Identify, characterize, understand, predict, and improve reliability all require [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,7],"tags":[],"class_list":["post-2358","post","type-post","status-publish","format-standard","hentry","category-hoc-opus","category-presentations"],"_links":{"self":[{"href":"https:\/\/www.fmsreliability.com\/publishing\/wp-json\/wp\/v2\/posts\/2358","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.fmsreliability.com\/publishing\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fmsreliability.com\/publishing\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fmsreliability.com\/publishing\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fmsreliability.com\/publishing\/wp-json\/wp\/v2\/comments?post=2358"}],"version-history":[{"count":6,"href":"https:\/\/www.fmsreliability.com\/publishing\/wp-json\/wp\/v2\/posts\/2358\/revisions"}],"predecessor-version":[{"id":2370,"href":"https:\/\/www.fmsreliability.com\/publishing\/wp-json\/wp\/v2\/posts\/2358\/revisions\/2370"}],"wp:attachment":[{"href":"https:\/\/www.fmsreliability.com\/publishing\/wp-json\/wp\/v2\/media?parent=2358"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fmsreliability.com\/publishing\/wp-json\/wp\/v2\/categories?post=2358"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fmsreliability.com\/publishing\/wp-json\/wp\/v2\/tags?post=2358"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}