Information Technology


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Cyber security: A standard CMDB data model for pharmaceutical manufacturing shop floor systems

Pharmaceutical manufacturers are developing and using Configuration Management Databases (CMDB) to maintain inventories of the IT and automation assets used by the manufacturing and laboratory systems at their production facilities. A CMDB can provide access to accurate data, including available assets, where they are, how they are configured, and the relationships that exist between them; all of which are vital functions for lifecycle management, change management, incident management and patching.

The information model typically used by the standard CMDB installation is based on the idea that all systems used by the enterprise are software based and described by a class of objects called an application. This does not always align to the needs within an operations technology (OT) environment. Therefore, the BioPhorum Cyber Security members, using their extensive combined knowledge, have collaborated to design a common information model describing a manufacturing system detailed in a shop floor/OT CMDB. The proposed model is intended to be a free, reusable, standard structure which can be adapted for specific company needs, providing a good starting point for configuration data modelers working in the OT space.

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Smart maintenance: digital evolution for biopharmaceutical manufacturing

The pressures to achieve more with less in the world of equipment and facilities maintenance has always been there, but what part can smart maintenance and the use of digital technologies do for us? What would an investment deliver in terms of lower costs and improved asset utilisation? This paper defines what ‘smart maintenance’ means to the biopharma industry and how to measure its maturity. It showcases a tool to assess ways of working and level of digital maturity, by mapping to BioPhorum’s ‘Digital Plant Maturity Model’. It will help you and your organisation make the case for investment and justify adopting higher levels of maintenance practice, better framing the contribution of maintenance with digital maturity transition – where to build and with which capabilities. The paper articulates the value and benefits of achieving the higher digital maturity levels for smart maintenance, such as improved asset utilization and management, cost reduction and elimination of unplanned activities. The paper includes a discussion on ‘next-generation’ analytics, describing how current and future analytics packages can integrate with data solutions and the benefits they can bring to the smart maintenance approach.

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