Latest news with #ManufacturingExecutionSystems
Yahoo
22-04-2025
- Business
- Yahoo
Emerson is Recognized as the Leader in the 2024 SPARK Matrix™: Manufacturing Execution Systems (MES) - Process and Batch Manufacturing by QKS Group
The QKS Group SPARK Matrix™ provides competitive analysis and ranking of the leading Manufacturing Execution Systems (MES) - Process and Batch Manufacturing platform vendors. Emerson, with its comprehensive technology and customer experience management, has received strong ratings across the parameters of technology excellence and customer impact. MIDDLETON, Mass., April 22, 2025 /PRNewswire/ -- QKS Group has named Emerson as a technology leader in their analysis of the SPARK Matrix™: Manufacturing Execution Systems (MES) - Process and Batch Manufacturing, 2024 platform market. The QKS Group SPARK Matrix™ evaluates vendors based on technology excellence and customer impact. It offers an in-depth analysis of global market dynamics, major trends, vendor landscapes, and competitive positioning. By providing a competitive analysis and ranking of leading technology vendors, the SPARK Matrix™ delivers strategic insights that help users assess provider capabilities, differentiate competitively, and understand market positions. Emerson was recognized as a technology leader in the SPARK Matrix™: Manufacturing Execution Systems (MES) - Process and Batch Manufacturing, 2024 for its advanced capabilities in optimizing process and batch manufacturing operations. Leveraging its DeltaV™ MES software solutions including DeltaV Workflow Management, Emerson delivers a comprehensive solution that enhances operational efficiency, ensures regulatory compliance, and provides near real-time data insights. With a strong focus on automation, digital transformation, and scalability, the company empowers manufacturers to streamline production, improve decision-making, and drive sustainable growth. As a global leader in automation technology, Emerson continues to expand its impact, offering innovative and intelligent solutions that meet the evolving needs of modern manufacturing. QKS Group defines the Manufacturing Execution Systems (MES) - Process and Batch Manufacturing category as a software-based solution used in process-oriented manufacturing industries to monitor, control, and optimize production processes. It encompasses functions such as workflow management, process monitoring, quality control, inventory management, weighing & dispensing, recipe management, resource allocation, traceability, and reporting. A modern MES also integrates with Enterprise Resource Planning (ERP) systems and production process control systems for offering real-time visibility into the shop floor. This visibility is instrumental in optimizing work schedules, monitoring equipment efficiency, ensuring regulatory compliance, and meticulously tracking materials. Additionally, process and batch MES enable organizations to streamline various departments, enabling effective utilization of real-time production data and data-driven decision-making processes." Emerson sets itself apart in the MES market by offering highly adaptable solutions designed to meet the complex requirements of GMP-regulated industries, particularly in the life sciences segment. By integrating DeltaV MES with the DeltaV distributed control system (DCS) and ERP systems, Emerson ensures seamless data exchange, enhancing operational efficiency and compliance. The company's innovative DeltaV Workflow Management simplifies recipe authoring with a no-code/low-code approach through a SaaS model, reducing implementation costs while improving accessibility with its modern, browser-agnostic interface. Additionally, the integration of DeltaV Spectral Process Analytical Technology (PAT) into batch execution strengthens real-time quality control, enabling predictive analytics and proactive quality management. The company is also exploring further opportunities to enhance data management with AspenTech's Inmation™ software to enhance data analytics and connectivity while expanding data lake capabilities to drive real-time insights. Its future developments include an upgraded DeltaV MES with an enhanced user interface, improved cybersecurity, and increased usability to support scale-up and scale-out manufacturing processes. Additionally, DeltaV Workflow Management is expected to see expanded equipment tracking, material management, and enhanced system integration, all while maintaining its intuitive, no-code/low-code design, said Nithin A K, Analyst at QKS Group. As a global organization, Emerson continually strengthens its presence in key markets of North America, and Europe, Asia and Latin America to meet the growing global demand for digital transformation in life sciences manufacturing. With a strong focus on drug substance and drug product manufacturing, Emerson's MES solutions have enabled seamless MES-DCS integration, significantly reducing batch release times and improving operational efficiency. As life sciences manufacturers seek scalable, compliant, and innovation-driven MES solutions, Emerson remains at the forefront of digital transformation and operational excellence. "Emerson's comprehensive DeltaV MES, including Workflow Management, helps life sciences companies get life-saving therapies to patients faster by enabling pipeline acceleration, real time release, and flexible manufacturing – with solutions ranging from discovery to commercial manufacturing." - Kristel Biehler, vice president of life sciences, Emerson Additional Resources: For more information about Emerson SPARK Matrix™: Manufacturing Execution Systems - Process and Batch Manufacturing (MES) About Emerson: Emerson is a global industrial technology leader that provides advanced automation. With an unmatched portfolio of intelligent devices, control systems and industrial software, Emerson delivers solutions that automate and optimize business performance. Headquartered in Saint Louis, Missouri, Emerson combines innovative technology with proven operational excellence to power the future of automation. For more information, visit Media Contact Myra Mash Public Relations Manager for Emerson 512-289-8067 About QKS Group: QKS Group is a global advisory and consulting firm focused on helping clients achieve business transformation goals with Strategic Business and Growth advisory services. At QKS Group, our vision is to become an integral part of our client's business as a strategic knowledge partner. Our research and consulting deliverables are designed to provide comprehensive information and strategic insights for helping clients formulate growth strategies to survive and thrive in ever-changing business environments. For more available research, please visit Media Contact:QKS Group Shraddha Roy PR & Media Relations Regus Business Center 35 Village Road, Suite 100, Middleton Massachusetts 01949 United States Email: shraddha.r@ Source: us on LinkedIn: Logo: View original content: SOURCE QKS Group
Forbes
02-04-2025
- Business
- Forbes
How To Unlock Manufacturing Data With AI
By Matt Lowe, chief strategy officer for MasterControl. getty In life sciences manufacturing, some of the most valuable data remains trapped in spreadsheets, scattered across different systems or simply uncollected. This fragmentation creates blind spots around how equipment performs, what drives maintenance costs and where inefficiencies lurk in production processes. However, a new approach is emerging that can then be enhanced with new advances in AI: the convergence of asset management, batch-level manufacturing and quality system data. Asset data offers a unique opportunity in manufacturing because it's the only place where organizations can access equipment performance data down to the serial number level. This granular insight reveals not just how well equipment is performing, but also its operational costs and maintenance challenges. Surprisingly, even equipment suppliers themselves often lack this detailed performance data about their own machines in actual production environments. The current manufacturing landscape typically features disconnected systems. Asset Management Systems (AMS), Manufacturing Execution Systems (MES) and Quality Management Systems (QMS) operate in isolation, while critical equipment performance data often resides in basic spreadsheets that make trend analysis difficult. This separation makes it challenging to understand the true cost and efficiency of producing drugs, devices or therapeutics. The integration of these data streams enables manufacturers to optimize their operations in ways that were previously impossible. By combining asset management data with batch-level manufacturing information and quality system metrics, organizations can make more informed decisions about their production processes. For instance, manufacturers can track how specific pieces of equipment perform across different manufacturing sites, understand their impact on product quality and optimize maintenance schedules. Consider a piece of manufacturing equipment that must perform within specific parameters, such as a bioreactor. Traditional maintenance might occur every three months regardless of necessity. However, with integrated data analysis, if the analytics shows no performance drift over three years, the system might recommend extending the maintenance interval to eight months. If performance remains stable, the interval could be further adjusted, optimizing both maintenance costs and equipment uptime while ensuring quality standards are maintained. Machine learning and AI applications play a crucial part in this optimization. When combined with IoT sensors, these systems can revolutionize traditional manufacturing approaches. Instead of relying on periodic analysis, manufacturers can implement real-time reviews of processes, usage and performance patterns. For example, customer complaints may be stored in a QMS, but when integrated with other systems, AI can significantly speed up the identification of the core issue. By linking this data with asset management and MES, the company can detect which specific piece of equipment or which of all the batches is the culprit behind the issue and suggest proactive resolutions to problems faster. The business case for data integration and AI adoption extends beyond operational efficiency. When manufacturers can see the complete picture of their production process—from equipment performance to quality outcomes—AI can suggest better decisions about equipment purchases, maintenance scheduling and process optimization. This integrated approach minimizes costs while enhancing product quality, ensuring safety and maximizing production uptime. For life sciences manufacturers, the convergence of manufacturing data isn't just about efficiency—it's about creating a more intelligent, responsive and cost-effective production environment. As the industry continues to evolve, those who can effectively integrate and analyze their manufacturing data will be better positioned to optimize their operations and reduce production costs while maintaining the high-quality standards required in life sciences manufacturing. Forbes Business Development Council is an invitation-only community for sales and biz dev executives. Do I qualify?
