{"id":276,"date":"2023-05-24T15:06:01","date_gmt":"2023-05-24T13:06:01","guid":{"rendered":"https:\/\/supplybrain.com\/?page_id=276"},"modified":"2024-11-06T10:53:40","modified_gmt":"2024-11-06T09:53:40","slug":"smart-maintenance","status":"publish","type":"page","link":"https:\/\/supplybrain.com\/de\/smart-maintenance\/","title":{"rendered":"Predictive Maintenance"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; next_background_color=&#8221;#000000&#8243; admin_label=&#8221;Section&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; background_enable_image=&#8221;off&#8221; background_size=&#8221;custom&#8221; background_image_width=&#8221;100%&#8221; background_image_height=&#8221;48%&#8221; background_position=&#8221;bottom_center&#8221; background_vertical_offset=&#8221;100%&#8221; bottom_divider_style=&#8221;slant2&#8243; bottom_divider_height=&#8221;55px&#8221; bottom_divider_flip=&#8221;vertical&#8221; bottom_divider_height_tablet=&#8221;43px&#8221; bottom_divider_height_phone=&#8221;43px&#8221; bottom_divider_height_last_edited=&#8221;on|phone&#8221; background_last_edited=&#8221;on|desktop&#8221; background_vertical_offset_tablet=&#8221;-29%&#8221; background_vertical_offset_phone=&#8221;-46%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Poppins||||||||&#8221; text_text_color=&#8221;#444444&#8243; text_font_size=&#8221;72px&#8221; text_line_height=&#8221;64px&#8221; text_font_size_tablet=&#8221;40px&#8221; text_font_size_phone=&#8221;40px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_tablet=&#8221;64px&#8221; text_line_height_phone=&#8221;100%&#8221; text_line_height_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Predictive Maintenance<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Poppins|300|||||||&#8221; text_font_size=&#8221;20px&#8221; text_line_height=&#8221;1.3em&#8221; text_font_size_tablet=&#8221;16px&#8221; text_font_size_phone=&#8221;16px&#8221; text_font_size_last_edited=&#8221;on|desktop&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Predictive maintenance is a proactive maintenance strategy that uses data and analytics to optimize maintenance schedules, reduce costs, and improve equipment performance. By leveraging real-time data from sensors, machine logs, and other sources, organizations can identify potential issues before they become more significant problems. With predictive maintenance, we not only provide an exact status of the systems installed in the plant, we are also able to predict the ideal maintenance time using our AI model.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; background_image=&#8221;https:\/\/supplybrain.com\/wp-content\/uploads\/2024\/10\/AdobeStock_270111669.jpg&#8221; background_position=&#8221;bottom_center&#8221; background_vertical_offset=&#8221;75%&#8221; hover_enabled=&#8221;0&#8243; background_last_edited=&#8221;on|desktop&#8221; background_size_tablet=&#8221;initial&#8221; background_size_phone=&#8221;initial&#8221; background_image_width_tablet=&#8221;100%&#8221; background_image_width_phone=&#8221;100%&#8221; background_image_height_tablet=&#8221;100%&#8221; background_position_tablet=&#8221;top_left&#8221; background_position_phone=&#8221;bottom_right&#8221; background_horizontal_offset_tablet=&#8221;56%&#8221; 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_module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/dsm_icon_list_child][dsm_icon_list_child text=&#8221;Downtime Tracking &#038; Insights&#8221; font_icon=&#8221;&#x39;||divi||400&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/dsm_icon_list_child][dsm_icon_list_child text=&#8221;AI-Driven Anomaly Detection&#8221; font_icon=&#8221;&#x39;||divi||400&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/dsm_icon_list_child][\/dsm_icon_list][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Poppins||||||||&#8221; text_text_color=&#8221;#444444&#8243; text_font_size=&#8221;36px&#8221; text_line_height=&#8221;125%&#8221; custom_margin=&#8221;||3px|||&#8221; text_font_size_tablet=&#8221;40px&#8221; text_font_size_phone=&#8221;40px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_tablet=&#8221;64px&#8221; text_line_height_phone=&#8221;100%&#8221; text_line_height_last_edited=&#8221;off|desktop&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>Optimal Maintenance Timing<\/strong><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Poppins|300|||||||&#8221; text_font_size=&#8221;18px&#8221; text_font_size_tablet=&#8221;16px&#8221; text_font_size_phone=&#8221;16px&#8221; text_font_size_last_edited=&#8221;on|desktop&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Our system not only predicts the optimal maintenance timing for your equipment components but also provides clear maintenance priorities. Thanks to a wear indicator, you can instantly see which parts need special attention, allowing you to efficiently plan maintenance actions and prevent unplanned downtime.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/supplybrain.com\/wp-content\/uploads\/2024\/10\/Health-Status.svg&#8221; title_text=&#8221;Health Status&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; transform_scale=&#8221;110%|110%&#8221; width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; bottom_divider_color=&#8221;gcid-56a6372b-ea76-4279-8fa3-128dc57095b1&#8243; bottom_divider_flip=&#8221;horizontal&#8221; global_colors_info=&#8221;{%22gcid-56a6372b-ea76-4279-8fa3-128dc57095b1%22:%91%22bottom_divider_color%22%93}&#8221;][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_video src=&#8221;https:\/\/supplybrain.com\/wp-content\/uploads\/2024\/10\/10315.mp4&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_video][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Poppins||||||||&#8221; text_text_color=&#8221;#444444&#8243; text_font_size=&#8221;36px&#8221; text_line_height=&#8221;125%&#8221; custom_margin=&#8221;||3px|||&#8221; text_font_size_tablet=&#8221;40px&#8221; text_font_size_phone=&#8221;40px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_tablet=&#8221;64px&#8221; text_line_height_phone=&#8221;100%&#8221; text_line_height_last_edited=&#8221;off|desktop&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>Downtime Monitoring<\/strong><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Poppins|300|||||||&#8221; text_font_size=&#8221;18px&#8221; text_font_size_tablet=&#8221;16px&#8221; text_font_size_phone=&#8221;16px&#8221; text_font_size_last_edited=&#8221;on|desktop&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>With our downtime monitoring, error times for each unit are summed up and clearly displayed for the desired period. This allows for quick identification of idle times, and any problematic equipment components become immediately visible. This enables you to take targeted action and minimize the risk of failures.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; prev_background_color=&#8221;#ffffff&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#232323&#8243; background_enable_image=&#8221;off&#8221; top_divider_style=&#8221;slant2&#8243; top_divider_height=&#8221;131px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Poppins||||||||&#8221; text_font_size=&#8221;36px&#8221; text_line_height=&#8221;125%&#8221; background_layout=&#8221;dark&#8221; custom_margin=&#8221;||3px|||&#8221; text_font_size_tablet=&#8221;40px&#8221; text_font_size_phone=&#8221;40px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_tablet=&#8221;64px&#8221; text_line_height_phone=&#8221;100%&#8221; text_line_height_last_edited=&#8221;off|desktop&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>Asset Insights<\/strong><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Poppins|300|||||||&#8221; text_font_size=&#8221;18px&#8221; background_layout=&#8221;dark&#8221; text_font_size_tablet=&#8221;16px&#8221; text_font_size_phone=&#8221;16px&#8221; text_font_size_last_edited=&#8221;on|desktop&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Our solution offers comprehensive asset details, including usage data and maintenance history. <br \/>These clear and concise insights are displayed in historical and graphical formats, so you always have an overview of the condition and performance of your assets, enabling you to make informed decisions.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][dsm_perspective_image src=&#8221;https:\/\/supplybrain.com\/wp-content\/uploads\/2024\/10\/2024-10-23-06_25_21-asset_details.png&#8221; title_text=&#8221;2024-10-23 06_25_21-asset_details&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; animation_direction=&#8221;bottom&#8221; sticky_position=&#8221;top&#8221; scroll_vertical_motion_enable=&#8221;on&#8221; scroll_vertical_motion=&#8221;0|34|34|100|4|0|0&#8243; border_radii=&#8221;on|8px|8px|8px|8px&#8221; global_colors_info=&#8221;{}&#8221;][\/dsm_perspective_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; background_enable_color=&#8221;off&#8221; background_image=&#8221;https:\/\/supplybrain.com\/wp-content\/uploads\/2024\/10\/AdobeStock_416652175.jpg&#8221; parallax=&#8221;on&#8221; custom_padding=&#8221;120px||120px||true|false&#8221; top_divider_color=&#8221;gcid-56a6372b-ea76-4279-8fa3-128dc57095b1&#8243; top_divider_height=&#8221;131px&#8221; custom_css_after=&#8221; content: &#8221;; \/* Create empty content for the overlay *\/||    position: absolute; \/* Position it absolutely within the section *\/||    top: 0;||    left: 0;||    right: 0;||    bottom: 0;||    background-color: rgba(0, 0, 0, 0.5); \/* Change to your desired color and opacity *\/||    z-index: 1;&#8221; global_colors_info=&#8221;{%22gcid-56a6372b-ea76-4279-8fa3-128dc57095b1%22:%91%22top_divider_color%22%93}&#8221;][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Poppins||||||||&#8221; text_font_size=&#8221;36px&#8221; text_line_height=&#8221;125%&#8221; background_layout=&#8221;dark&#8221; custom_margin=&#8221;||3px|||&#8221; text_font_size_tablet=&#8221;40px&#8221; text_font_size_phone=&#8221;40px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_tablet=&#8221;64px&#8221; text_line_height_phone=&#8221;100%&#8221; text_line_height_last_edited=&#8221;off|desktop&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>Anomaly Detection<\/strong><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Poppins|300|||||||&#8221; text_font_size=&#8221;18px&#8221; background_layout=&#8221;dark&#8221; text_font_size_tablet=&#8221;16px&#8221; text_font_size_phone=&#8221;16px&#8221; text_font_size_last_edited=&#8221;on|desktop&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Our anomaly detection identifies unusual usage patterns in your equipment. The system detects irregularities early and alerts you when components deviate from normal operation. This allows potential issues to be addressed promptly and unexpected failures to be avoided.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Predictive MaintenancePredictive maintenance is a proactive maintenance strategy that uses data and analytics to optimize maintenance schedules, reduce costs, and improve equipment performance. By leveraging real-time data from sensors, machine logs, and other sources, organizations can identify potential issues before they become more significant problems. With predictive maintenance, we not only provide an exact status [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"class_list":["post-276","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Predictive Maintenance - Supplybrain<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/supplybrain.com\/de\/smart-maintenance\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Predictive Maintenance - Supplybrain\" \/>\n<meta property=\"og:description\" content=\"Predictive MaintenancePredictive maintenance is a proactive maintenance strategy that uses data and analytics to optimize maintenance schedules, reduce costs, and improve equipment performance. By leveraging real-time data from sensors, machine logs, and other sources, organizations can identify potential issues before they become more significant problems. 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