{"id":7146,"date":"2016-01-09T10:00:24","date_gmt":"2016-01-09T15:00:24","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=7146"},"modified":"2016-01-04T12:21:27","modified_gmt":"2016-01-04T17:21:27","slug":"predictive-analytics-can-help-with-the-challenges-facing-manufacturing-in-the-21st-century","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predictive-analytics-can-help-with-the-challenges-facing-manufacturing-in-the-21st-century\/7146\/","title":{"rendered":"Predictive Analytics Can Help with the Challenges Facing Manufacturing in the 21st Century"},"content":{"rendered":"Historically, data and analytics have been key to the success of manufacturing. The biggest contributor to the success of the 100+ year old assembly line technology was the development of interchangeable parts. Clearly, data was central to this concept. It was really the emphasis on making interchangeable parts that led to the invention of statistical quality control (SQC) and statistical process control. The recognition of variability as a manufacturing issue and the recognition that this variation is different from variation seen in natural or social phenomenon was essential to the development of methods to track, diagnose and control <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/predictive-analytics-can-help-with-the-challenges-facing-manufacturing-in-the-21st-century\/7146\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Historically, data and analytics have been key to the success of manufacturing. The biggest contributor to the success of the 100+ year old assembly line technology was the development of interchangeable parts. Clearly, data was central to this concept. It was really the emphasis on making interchangeable parts that led to the invention of statistical [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[390,8,613,416],"class_list":["post-7146","post","type-post","status-publish","format-standard","hentry","category-leading-stories","tag-manufacturing","tag-predictive-analytics","tag-preventive-maintenance","tag-simafore"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7146","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=7146"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7146\/revisions"}],"predecessor-version":[{"id":7147,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7146\/revisions\/7147"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=7146"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=7146"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=7146"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}