{"id":74,"date":"2023-10-22T18:46:51","date_gmt":"2023-10-22T18:46:51","guid":{"rendered":"https:\/\/nspglobaltech.com\/case-studies\/?p=74"},"modified":"2024-03-06T10:23:43","modified_gmt":"2024-03-06T10:23:43","slug":"predictive_maintenance_case_study","status":"publish","type":"post","link":"https:\/\/www.nspglobaltech.com\/case-studies\/industry\/predictive_maintenance_case_study\/","title":{"rendered":"Predictive maintenance in the process and manufacturing industries"},"content":{"rendered":"\n
\"Predictive<\/figure>\n\n\n\n

DCM Shriram Ltd, is having sugar manufacturing unit at Ajbapur, Rupapur, Hariawan and Loni, in Hardoi District of Uttar Pradesh. The production facilities have co – generation power plants, based on bagasse, a sugar by-product. They have an installed co-generation capacity of 155 MW, out of which supply some renewable energy to the national grid and the rest is for captive use. Each of these units has invested in state-of-the-art technology that gives one of the best manufacturing efficiencies in the country.<\/p>\n\n\n\n

<\/p>\n\n\n\n

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Download PDF<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

DCM Shriram Ltd, is having sugar manufacturing unit at Ajbapur, Rupapur, Hariawan and Loni, in Hardoi District of Uttar Pradesh. The production facilities have co – generation power plants, based on bagasse, a sugar by-product. They have an installed co-generation capacity of 155 MW, out of which supply some renewable energy to the national grid […]<\/p>\n","protected":false},"author":1,"featured_media":89,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-74","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry"],"yoast_head":"\nPredictive Maintenance Case Study in Manufacturing | NSP<\/title>\n<meta name=\"description\" content=\"NSP's predictive maintenance solutions transformed process and manufacturing industries, enhancing efficiency and reducing downtime.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.nspglobaltech.com\/case-studies\/industry\/predictive_maintenance_case_study\/\" \/>\n<meta property=\"og:locale\" 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