Achieve the Promise of Industry 4.0
Reduce costs and meet operational targets with insights and AI
Gain situational awareness and insights through manufacturing IoT analytics, empowering plant managers and facility operations managers with the confidence to prevent unplanned downtime from equipment failure, optimize planned maintenance, and reduce operational costs.
Manufacturing companies are navigating a complex business environment characterized by supply chain disruptions, rising costs, and labor shortages. Global supply chain issues, combined with inflation and higher expenses for raw materials, energy, and labor, are putting significant pressure on profit margins. In this challenging landscape, analytics from manufacturing IoT becomes a critical tool, helping companies compete with smaller, more agile firms and larger corporations that have the resources to absorb these challenges.
Manufacturers are increasingly pressured to adopt advanced technologies like AI, IoT, and automation to stay competitive. However, limited budgets and IT resources make digital transformation a daunting task. And they face growing regulatory demands, particularly around environmental compliance, adding to their operational burdens. In this uncertain economic climate, manufacturers must leverage analytics from manufacturing IoT and other strategic technologies to navigate these challenges with agility and ensure long-term viability.
The Challenge of Data Collection and Action in Manufacturing
The whitepaper, "The Challenge of Data Collection and Action in Manufacturing: Navigating Legacy Equipment and Manual Processes" examines the complexities manufacturers encounter when dealing with legacy equipment and manual processes. It addresses the financial and technical barriers associated with integrating modern IoT systems into older machinery, as well as the impact of human factors in manual operations
Navigating Legacy Equipment and Manual Processes
The paper offers practical strategies, such as incremental modernization and collaborating with external experts, to enhance data collection and boost efficiency. Explore the full whitepaper to understand how organizations can navigate these challenges and move toward a data-driven future.
Manufacturing use cases
Real-time Production Monitoring
Manufacturing plant managers need better visibility into operations to identify bottlenecks and improve efficiency. By implementing a system to monitor all machines in real-time, plant manager can collect and analyze data on machine performance. This results in clear insights and daily reports that enable data-driven decisions, ultimately helping to improve efficiency and consistently meet delivery deadlines.
Scale Operations with Integrated Systems
Manufacturing facility managers face challenges in gaining a holistic view of operations as the company scales. By implementing a centralized dashboard that integrates data from existing systems, facility managers can receive AI-driven insights into scalability issues and process optimizations. This integration allows for informed decisions on technology investments, helping to scale operations efficiently and effectively.
Optimize Production Across Facilities
Production executives need to standardize processes and optimize production across facilities. Implementing a system that gathers standardized data from all sites allows AI to identify best practices and inefficiencies. This leads to greater process standardization, improved production efficiency, and real-time visibility into operations across sites.
Improve Machine Operator Efficiency
Machine operators need to quickly identify and resolve issues to minimize machine downtime and meet production targets. By using a real-time dashboard on a tablet, the operator can receive alerts and AI-generated suggestions for quick fixes. This approach enables faster issue resolution, reducing downtime and enhancing the operator's efficiency and contribution to overall production goals.
Implement Predictive Maintenance
Machine technicians aim to shift from reactive to predictive maintenance to reduce unexpected breakdowns. By using a system that provides AI-driven predictive maintenance alerts and schedules, technicians can proactively address potential issues before they cause downtime. This approach not only optimizes workflow but also extends machine lifespan and reduces unplanned maintenance costs.
Build a foundation for better decisions
Milvian Group manufacturing IoT analytics solutions deliver rapid value to the customer by ingesting and visualizing data from IoT connected devices. Often referred to as the "First Mile Challenge," this process consists mainly of instrumentation and ingestion of data from edge devices.
We start off by identifying a use case tied to a strong ROI for the business and work backwards to design and implement a bespoke solution that incorporates device instrumentation via sensors, data ingestion and analysis.
Improving Uptime in Auto Manufacturing
Automotive manufacturers face significant challenges in maintaining peak operational performance while managing complex production lines. Equipment downtime, unplanned maintenance, and inefficient use of resources can lead to costly delays and reduced output. The growing pressure to adopt sustainable practices and optimize supply chains further complicates operations. These challenges are amplified by the need to ensure quality, meet stringent regulatory standards, and adapt to shifting market demands—all while managing tight margins in a highly competitive industry.
Tier 1 Auto Success Story
Learn how a leading automotive manufacturer unlocked peak performance and maximized uptime using enhanced equipment insights.
Read how our team of experts built data-driven solutions to transform operations and drive efficiency gains.
Explore our Solutions
IoT Manufacturing Solution Sheet
IoT solutions enable manufacturers to monitor, analyze, and optimize assets, reducing operational inefficiencies and driving informed decision-making. Find out how our IoT manufacturing solution can help.
Preventative Maintenance Overview
Minimize downtime, reduce costs, and enhance operational efficiency through proactive equipment monitoring. Learn how AI and IoT can optimize maintenance schedules, ensure greater reliability and customer satisfaction.
Controlled Environment Agriculture
Learn how to optimize your controlled environment agriculture operations while reducing costs, energy, and water consumption. IoT and AI combine to drive sustainability and efficiency.
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Talk to our experts to find out how to gain insights to optimize manufacturing operation and ensure quality today.
