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Pharma 4.0 Methodology to implement Predictive Maintenance Solutions in Healthcare industry",{"rendered":507,"protected":508},"\u003Ch2 class=\"wp-block-heading\" id=\"h-implementing-predictive-technical-diagnoses\">IMPLEMENTING PREDICTIVE TECHNICAL DIAGNOSES\u003C\u002Fh2>\n\n\n\u003Cp>Development of a predictive maintenance solution for laboratory systems of our client, using SAS.\u003C\u002Fp>\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"h-goals-of-our-client\">Goals of our client\u003C\u002Fh2>\n\n\n\u003Cp>Conceptual design and implementation of a predictive maintenance framework for an innovative laboratory diagnosis system to\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>Minimize system downtimes\u003C\u002Fli>\n\n\n\n\u003Cli>Optimize maintenance and service\u003C\u002Fli>\n\n\n\n\u003Cli>Enable long term application possibility\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"our-approach-for-predictive-maintenance-in-healthcare\">Our approach for Predictive Maintenance in Healthcare\u003C\u002Fh2>\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>Identifying and making provisions for the necessary sensor technology during the development process\u003C\u002Fli>\n\n\n\n\u003Cli>Design of a predictive maintenance framework on the basis of SAS Data Management Platform\u003C\u002Fli>\n\n\n\n\u003Cli>Extensive automation of the process from the transmission of the sensor data to warnings\u003C\u002Fli>\n\n\n\n\u003Cli>Visualization of the key performance indicators\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"results\">Results\u003C\u002Fh2>\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>58 system and process components monitored proactively\u003C\u002Fli>\n\n\n\n\u003Cli>Downtimes have significantly lowered compared to the reactive services\u003C\u002Fli>\n\n\n\n\u003Cli>Optimized deployment of service technicians, as they know in advance the parts are needed at a particular location\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"initial-situation\">Initial Situation\u003C\u002Fh3>\n\n\n\u003Cp>In the future, reporting malfunctions to customer service should be the exception rather than the \u003Cstrong>“rule” \u003C\u002Fstrong>for users of the \u003Ca href=\"https:\u002F\u002Fwww.siemens-healthineers.com\u002Ffr-be\u002Fintegrated-chemistry\u002Fsystems\u002Fatellica-solution-analyzers\" target=\"_blank\" rel=\"noreferrer noopener\">laboratory diagnostics system Atellica® Solution\u003C\u002Fa>. To fulfil the mentioned objective, the client partnered with us and our experts in data analytics and data science.\u003C\u002Fp>\n\n\n\n\u003Cp>The company developed a \u003Cem>\u003Cstrong>predictive service and maintenance solution\u003C\u002Fstrong>\u003C\u002Fem>. This allows for:\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>Increases in the laboratory system’s availability\u003C\u002Fli>\n\n\n\n\u003Cli>Reduces service costs\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>The solution is based on the data analytics platform from SAS, one of the world’s biggest software providers of analytical software. (external link)\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"h-clinical-laboratory-diagnostics-with-a-vision-to-nbsp-transform-to-pharma-4-0\">Clinical laboratory diagnostics with a vision to \u003Ca href=\"https:\u002F\u002Fcollaborationbetterstheworld.com\u002Finsights\u002Fimplementing-pharma-4-0-automated-production\">transform to Pharma 4.0\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\u003Cp>Our client is among the world’s leading companies in healthcare. It focuses on imaging for diagnosis and therapy, as well as clinical laboratory diagnostics \u003Ca href=\"https:\u002F\u002Fwww.siemens-healthineers.com\u002Fintegrated-chemistry\u002Fsystems\u002Fatellica-solution-analyzers\" target=\"_blank\" rel=\"noreferrer noopener\">Atellica Solution\u003C\u002Fa> sets groundbreaking standards in immunoassay and clinical chemistry analysis via innovations designed to optimize workflow and clinical performance.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large is-resized\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"768\" src=\"https:\u002F\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002Fsiemens-healthineers_integrated-chemistry_immunoassay_and_clinical_chemistry_analyzers-1024x768.jpg\" alt=\"Atellica Solution \" class=\"wp-image-2394\" style=\"width:552px;height:auto\" srcset=\"https:\u002F\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002Fsiemens-healthineers_integrated-chemistry_immunoassay_and_clinical_chemistry_analyzers-1024x768.jpg 1024w, https:\u002F\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002Fsiemens-healthineers_integrated-chemistry_immunoassay_and_clinical_chemistry_analyzers-800x600.jpg 800w, https:\u002F\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002Fsiemens-healthineers_integrated-chemistry_immunoassay_and_clinical_chemistry_analyzers-100x75.jpg 100w, https:\u002F\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002Fsiemens-healthineers_integrated-chemistry_immunoassay_and_clinical_chemistry_analyzers.jpg 1728w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>The system features patented bidirectional magnetic sample-transport technology and supports a multi-camera vision system to independently control every sample.\u003C\u002Fp>\n\n\n\n\u003Cp>At the same time, the software offers intelligent scheduling for the individual management of samples throughout the testing process. Atellica Solution immunoassay system can perform up to \u003Cstrong>440* tests per hour\u003C\u002Fstrong>, \u003Cem>the highest productivity per square meter in the industry\u003C\u002Fem>**.\u003C\u002Fp>\n\n\n\n\u003Cp>For customers, it’s crucial that throughput is \u003Cstrong>uninterrupted\u003C\u002Fstrong>. Therefore, the engineers from our client in product development wished to incorporate the integration of a \u003Cstrong>predictive service and maintenance solution\u003C\u002Fstrong> as early as the development phase, they defined which data could be relevant for predictive maintenance.\u003C\u002Fp>\n\n\n\n\u003Cp>This brought a key benefit, that the necessary sensors were integrated and provisions were made for the principle connection to the client’s database. Thereafter, enabling the subsequent processing of the data.\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"proactive-service-on-the-sas-platform\">Proactive service on the SAS Platform\u003C\u002Fh3>\n\n\n\u003Cp>Once the first development phase for the product series was complete, the next step was the dedicated development of the predictive service and maintenance solution. Here, our client decided to use the \u003Cstrong>SAS Data Analytics Platform\u003C\u002Fstrong>, comprising the SAS Data Integration Server and the SAS Data Integration Studio.\u003C\u002Fp>\n\n\n\n\u003Cp>Furthermore, in its predictive service and maintenance project, our customer opted to deploy \u003Cstrong>SAS Visual Analytics\u003C\u002Fstrong> for data preparation while \u003Cstrong>SAS Enterprise Guide\u003C\u002Fstrong> was selected for data analysis.\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"h-our-role-for-the-project-implementation-for-predictive-maintenance-in-healthcare-industry\">Our role for the project implementation for Predictive Maintenance in Healthcare industry\u003C\u002Fh3>\n\n\n\u003Cp>For the conceptual design and implementation, our client chose the SAS partnered with us, with whom they had already worked successfully on earlier projects.\u003C\u002Fp>\n\n\n\n\u003Cp>Our team was tasked with the complete process: \u003Cstrong>from implementing the data loading points\u003C\u002Fstrong>, through setting up the predictive service and maintenance framework, to preparing the data for the creation of reports.\u003C\u002Fp>\n\n\n\n\u003Cp>To work as time-efficiently and cost-effectively as possible, the team took an \u003Cstrong>iterative \u003C\u002Fstrong>approach, where the basic requirements were first determined, and then modified during the project as needed.\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"efficient-analysis-remotely\">Efficient analysis – remotely\u003C\u002Fh3>\n\n\n\u003Cp>The predictive service and maintenance solution offered to the users of Atellica® Solution within the framework of the Guardian Program™ is almost fully \u003Cstrong>automated\u003C\u002Fstrong>.\u003C\u002Fp>\n\n\n\n\u003Cp>As far as circumstances in the individual countries permit, the data is first transmitted to the respective country databases via the \u003Cstrong>Smart Remote Service (SRS)\u003C\u002Fstrong>. It comes from various sources, for example, pre-structured sensor data or log files.\u003C\u002Fp>\n\n\n\n\u003Cp>The data is then transferred to the SAS system by means of SRS. Based on analytic models developed by our client in a team of data scientists and system experts, the data is then analyzed and failure probabilities are determined.\u003C\u002Fp>\n\n\n\n\u003Cp>The results are processed, visualized, and made available via a web-based front end!\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"additional-feature-that-aids-in-driving-results\">Additional feature that aids in driving results\u003C\u002Fh3>\n\n\n\u003Cp>To simplify and automate the process still further, we had also developed an e-mail notification service. The employees responsible recieved an automatic warnings with detailed information.\u003C\u002Fp>\n\n\n\n\u003Cp>This happened as soon as new information about an Atellica Solution component is received, that\u003Cstrong> \u003C\u002Fstrong>requires an action.\u003C\u002Fp>\n\n\n\n\u003Cp>In addition, the incoming information is used to assess the entire solution. This is processed with SAS Visual Analytics.\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>58 system and process components are being monitored proactively\u003C\u002Fli>\n\n\n\n\u003Cli>System downtimes are significantly lower compared to the reactive service: Interim analyses of the first system installations show that, generally, the proactive service produces 36% less system downtime compared to the reactive service.\u003C\u002Fli>\n\n\n\n\u003Cli>Optimized deployment of service technicians, because they know in advance which parts are needed at a particular location.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"successful-realization-of-predictive-maintenance-in-healthcare-industry\">Successful realization of Predictive Maintenance in Healthcare industry\u003C\u002Fh3>\n\n\n\u003Cp>The starting point for this was the development of the equipment with the aim of implementing predictive service and maintenance solutions. The software from \u003Ca href=\"https:\u002F\u002Fwww.sas.com\u002Fen_be\u002Fhome.html\" target=\"_blank\" rel=\"noreferrer noopener\">SAS\u003C\u002Fa> is an ideal platform. Due to the fact that it can be used for all analyses and can be easily scaled, if required.\u003C\u002Fp>\n\n\n\n\u003Cp>And, finally, our structured realization of the framework ensures tremendous flexibility. The solution evolves through the continuous expansion of the analytical data models and the data basis. The modular structure and intuitive framework ensures that our client’s team can make modifications on their own.\u003C\u002Fp>\n",false,{"rendered":510,"protected":508},"\u003Cp>Development of a predictive maintenance solution for laboratory systems of our client, using 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insights","https:\u002F\u002Fstaging.cbtw.tech\u002Finsights","_self","\u003C!-- This site is optimized with the Yoast SEO Premium plugin v25.4 (Yoast SEO v25.4) - https:\u002F\u002Fyoast.com\u002Fwordpress\u002Fplugins\u002Fseo\u002F -->\n\u003Ctitle>Revolutionizing Pharma: Predictive Maintenance in Healthcare\u003C\u002Ftitle>\n\u003Cmeta name=\"description\" content=\"Discover how predictive maintenance is transforming the pharmaceutical industry, enhancing efficiency and ensuring operational excellence.\" \u002F>\n\u003Cmeta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \u002F>\n\u003Clink rel=\"canonical\" href=\"https:\u002F\u002Fstaging.cbtw.tech\u002Finsights\u002Fpredictive-maintenance-pharmaceutical-industry\" \u002F>\n\u003Cmeta property=\"og:locale\" content=\"en_US\" \u002F>\n\u003Cmeta property=\"og:type\" content=\"article\" \u002F>\n\u003Cmeta property=\"og:title\" content=\"Our Pharma 4.0 Methodology to 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