SBS Quality Management Software
The SBS QMS Suite is composed of five interrelated software modules designed to enhance Quality compliance efficiency.
1) The SBS Quality Database includes tools for managing CAPA and 8D corrective actions, overseeing nonconformance issues, conducting risk analyses such as FMEA and SWOT, handling various audit management needs, and ensuring Environmental Health and Safety (EHS/HSE) compliance.
2) SBS Ground Control focuses on managing employee training through a Learning Management System (LMS), offering self-paced training options, and providing document control features.
3) SBS Asset Tracking Database oversees calibrated equipment, preventive maintenance schedules, and comprehensive asset inventory management.
4) The SBS Inspection Database captures and records inspection data for incoming materials, in-process checks, and final product assessments, allowing for the generation of real-time SPC charts, development of inspection and control plans, and archiving data for future statistical evaluations.
5) The SBS Vendor Management maintains an approved vendor list (AVL), formulates vendor qualification plans, and tracks the qualification history of suppliers.
Each of these modules may be purchased individually or in any combination to meet your needs.
On-premise and cloud-based options are available.
Free demos are available for download or contact us for a cloud-based demo.
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TRACTIAN
Tractian serves as the Industrial Copilot focused on enhancing maintenance and reliability by integrating both hardware and software to oversee asset performance, streamline industrial operations, and execute predictive maintenance approaches. The platform, powered by AI, enables companies to avert unexpected equipment failures and improve production efficiency. Headquartered in Atlanta, GA, Tractian also has a global footprint with branches in Mexico City and Sao Paulo, thereby expanding its reach. For more information, you can visit their website at tractian.com, where additional resources and details about their offerings are available.
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IBM Maximo Application Suite
The IBM Maximo® Application Suite is a comprehensive set of tools aimed at efficiently overseeing and handling assets, as well as facilitating predictive maintenance and reliability strategies.
With the Maximo Application Suite, organizations are empowered to fully leverage the potential of their enterprise assets via a cohesive, cloud-centric platform that utilizes AI, IoT, and analytics to boost performance, extend asset longevity, and reduce both operational downtime and costs.
Users of IBM Maximo gain access to cutting-edge applications tailored for CMMS, EAM, APM, and RCM, all while benefiting from streamlined installation and management processes, which enhance the overall user experience through the integration of consistent data and workflows.
The use of AI and analytical tools fosters effective oversight and upkeep of valuable assets, leading to not only improved performance but also longer operational lifespans and reduced expenses and downtime.
By implementing automated asset inspections fueled by real-time data and artificial intelligence, organizations can notably upgrade their inspection methods.
This all-encompassing suite equips users to tackle the complexities of asset management in the rapidly evolving landscape of contemporary business.
Ultimately, the IBM Maximo Application Suite positions organizations to thrive by ensuring their asset management processes are agile, responsive, and efficient in a competitive market.
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AWS IoT Analytics
The information produced by IoT devices is largely unstructured, which poses significant difficulties for conventional analytics and business intelligence systems that are designed primarily for structured data. These devices collect data from various noisy environments, such as temperature fluctuations, motion detection, and sound levels, resulting in common problems like data gaps, message corruption, and unreliable readings that require extensive cleaning prior to any substantial analysis. Moreover, the value of IoT data often hinges on its integration with external data sources from third parties. For example, irrigation systems in vineyards can improve moisture sensor readings through the inclusion of rainfall data, allowing farmers to refine their water use and boost crop productivity effectively. To facilitate the analysis of data generated by IoT devices, AWS IoT Analytics simplifies each intricate step in the process. This fully managed service operates on a pay-as-you-go basis, allowing it to effortlessly scale to accommodate varying requirements while also streamlining the overall data analysis procedure. By utilizing such automated solutions, companies can more effectively extract critical insights from their IoT data, ultimately leading to better decision-making and improved operational efficiency. In this way, organizations can harness the potential of their IoT investments to drive innovation and growth.
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