{"id":16213,"date":"2016-10-14T05:00:00","date_gmt":"2016-10-14T12:00:00","guid":{"rendered":"http:\/\/insidebigdata.com\/?p=16213"},"modified":"2016-10-08T15:38:17","modified_gmt":"2016-10-08T22:38:17","slug":"predictive-maintenance-how-data-can-increase-production","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2016\/10\/14\/predictive-maintenance-how-data-can-increase-production\/","title":{"rendered":"Predictive maintenance: How Data Can Increase Production"},"content":{"rendered":"<p>In this special technology white paper,\u00a0<a href=\"http:\/\/insidebigdata.com\/white-paper\/predictive-maintenance\/\" target=\"_blank\">Predictive maintenance: How Data Can Increase Production<\/a>, you\u2019ll learn why predictive maintenance has become the holy grail for manufacturers trying to predict equipment maintenance needs just in time, thus ensuring that neither breakdowns nor maintenance will slow down production.<\/p>\n<p>Predictive maintenance involves gathering targeted data for analysis, the results of which will help anticipate potential failures before they occur.\u00a0 Companies opt for this type of maintenance to avoid predictable incidents and repair equipment, assembly lines, or machinery with minimum impact on their operations.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-full wp-image-16214\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2016\/10\/TIBCO_predictive_maint.png\" alt=\"tibco_predictive_maint\" width=\"632\" height=\"373\" \/><\/p>\n<p>Machine operators in particular will find that predictive maintenance quickly helps to reduce downtime. In fact, TIBCO Software has installed a\u00a0 sampling system for a semiconductor manufacturer that collects real-time data on events related to each item of equipment. A software engine learns the sequence of events and, in particular, the sequence that could lead to a problematic situation. As soon as it detects this pattern emerging, it\u00a0 triggers an alarm to let the maintenance teams know that this specific piece of equipment needs to be checked.<\/p>\n<p>A predictive maintenance solution can cut overall maintenance costs by 20 to 30%. This takes into account the cost of the software and offsets it\u00a0 against the costs of all actions and resulting downtime avoided.<\/p>\n<p>The white paper includes the following high level topics:<\/p>\n<ul>\n<li>Maintenance Made Easy With the Help of Data<\/li>\n<li>10% Fewer Outages Bring an Annual Saving of USD 1.4 Million<\/li>\n<li>The Four Success Factors of Predictive Maintenance<\/li>\n<li>Kick-start With a POC<\/li>\n<li>Selecting the Right Tools to Avoid Incidents<\/li>\n<li>Data Scientist: The Architects of Predictive Maintenance<\/li>\n<\/ul>\n<p>The\u00a0<em>Predictive maintenance: How Data Can Increase Production <\/em>white paper is\u00a0available\u00a0for\u00a0download in PDF from the<a href=\"http:\/\/insidebigdata.com\/white-paper\/predictive-maintenance\/\" target=\"_blank\">\u00a0insideBIGDATA White Paper Library<\/a>, courtesy of <a href=\"http:\/\/www.tibco.com\/\" target=\"_blank\">TIBCO Software Inc.<\/a> <a href=\"http:\/\/www.brightcomputing.com\/\" target=\"_blank\"><br \/>\n<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this special technology white paper, Predictive maintenance: How Data Can Increase Production, you\u2019ll learn why predictive maintenance has become the holy grail for manufacturers trying to predict equipment maintenance needs just in time, thus ensuring that neither breakdowns nor maintenance will slow down production.<\/p>\n","protected":false},"author":37,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[65,115,180,268,56,222,1,58],"tags":[314,95],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - 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Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \\\"data scientist\\\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. 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Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \"data scientist\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. 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