• Automated Data Collection
  • Real-time Dashboards
  • Automated Alerts
  • Access Controls
  • Integration Capabilities
  • Steps Timing
  • Observation Notes
  • AI Driven Summaries, Suggestions & Projects
  • *Available 3rd party Integrations

AI Automation Designed for You!

Praxie’s AI-powered Production Monitoring software transforms complex process steps into actionable data insights and significantly boosts productivity of your unique workflows.
AI-Powered Enhanced Visibility and Waste Reduction
Improved Efficiency, Productivity and Decision Making
Customer Focus, Cost Reduction and Process Improvement

“Our team used to take days manually creating status reports. Today, Praxie’s Connected Worker AI automatically creates business summaries, reports and action plans for every layer of management, it’s amazing!.” – Satisfied Customer

Monitor Effectively

Gain real-time visibility into every facet of your production process

Optimize Continuously

Leverage machine analytics to fine-tune operations for maximum efficiency

Alert Proactively

Receive instant notifications for critical events to minimize downtime

Production Monitoring Overview

Production Monitoring in manufacturing is the continuous tracking and analysis of various production metrics, including machine uptime, throughput, quality, and efficiency. Generally utilized by operations managers, floor supervisors, and occasionally by C-suite executives, this system provides real-time data and analytics, which can be accessed through dashboards. The value of production monitoring lies in its ability to offer insights into bottlenecks, inefficiencies, and resource utilization, enabling swift corrective actions. By focusing on real-time data and analytics, companies can drastically reduce downtime, improve quality, and elevate their overall productivity, leading to significant cost savings and a stronger bottom line.

Production Monitoring Details

Production Monitoring in the manufacturing sector serves as the eyes and ears of operational efficiency, providing real-time insights and metrics that facilitate smarter decision-making. To those unfamiliar with this concept, envision a comprehensive system that oversees and reports various aspects of the production lifecycle.

  1. Data Collection: The first step is gathering data from multiple sources like machines, labor inputs, and quality checks. Sensors, IoT devices, and manual input mechanisms work in tandem to collect this data.
  2. Real-time Dashboards: A centralized dashboard displays metrics in real time, offering immediate insights into the production status. These dashboards are customizable and can show data points such as machine uptime, throughput, and resource allocation.
  3. Analytics Engine: Behind the scenes, an analytics engine crunches the numbers. It identifies trends, bottlenecks, and inefficiencies by comparing current performance against historical data and industry benchmarks.
  4. Alert System: A critical feature is the alert system that notifies managers or operators about any irregularities or deviations, like equipment malfunctions or quality issues, allowing for immediate corrective actions.
  5. Report Generation: For in-depth analysis and compliance, the tool can generate detailed reports at regular intervals or on-demand. These reports may focus on aspects like overall equipment effectiveness (OEE), yield rates, and waste reduction.
  6. User Access Control: Various levels of user permissions ensure that data and insights are accessible only by authorized personnel. This not only keeps sensitive information secure but also makes the tool more focused and relevant for different roles within the organization.
  7. Integration Capabilities: Finally, a robust Production Monitoring tool usually offers integration options with other enterprise software like ERP or CRM systems, thus streamlining information flow across departments.

Production Monitoring tools are indispensable in modern manufacturing settings for their ability to offer real-time insights and facilitate rapid, data-driven decision-making. They enable organizations to be proactive rather than reactive, helping them to enhance efficiency, minimize waste, and ultimately, improve their bottom line.

Production Monitoring Process

Introducing a Production Monitoring system into a manufacturing organization is a transformative project that calls for meticulous planning, stakeholder alignment, and flawless execution. By methodically rolling out this system, a project manager not only elevates operational efficiency but also paves the way for data-driven decision-making.

  1. Stakeholder Alignment: The project manager must first secure buy-in from key stakeholders, including senior management and operational heads. This helps in resource allocation and sets the stage for organizational commitment. Success here is determined by the level of support and resources committed by the stakeholders.
  2. Needs Assessment: A thorough needs assessment must be conducted to identify gaps in the existing setup and to align the features of the new system with organizational goals. The success factor is the creation of a well-defined list of requirements that directly correlates with organizational pain points.
  3. Vendor Selection: Based on the needs assessment, the project manager selects a suitable vendor offering a Production Monitoring tool that aligns with organizational requirements. A successful vendor selection will balance budget constraints, feature sets, and future scalability.
  4. Pilot Testing: Before full-scale implementation, a pilot test is run on selected equipment or production lines. This ensures that the tool is compatible with existing processes. The success factors are the tool’s reliability and its ability to deliver actionable insights during the pilot phase.
  5. Training: Once the pilot is successful, training sessions are organized for staff who will be using the system. Effective training minimizes resistance to the new tool and prepares the team for transition.
  6. Implementation: The Production Monitoring tool is now implemented across the manufacturing floor. The project manager oversees this phase to ensure that it aligns with the project plan and timelines. The speed and smoothness of the implementation phase are the key success factors.
  7. Review and Feedback: After a predefined period, the system’s performance is reviewed. Feedback is collected from users and adjustments are made as necessary. Success is gauged by how well the tool has met its initial objectives and its impact on operational efficiency.

The introduction of a Production Monitoring system can be a smooth process if led by a capable project manager who pays close attention to stakeholder alignment, need assessment, and methodical execution. The key success factors to consider include stakeholder buy-in, clear requirements, effective training, and an iterative approach that allows for continual improvement.

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Your Manufacturing Digital Transformation Practice Lead

Michael Lynch

Michael Lynch is a creative and successful executive with extensive leadership experience in delivering innovative collaboration products and building global businesses. Prior to founding Praxie, Michael led the Internet of Things business at SAP. He joined SAP as part of the acquisition of Right Hemisphere Inc., where he held the position of CEO. During his tenure, he transformed a small tools provider for graphics professionals to the global leader in Visualization software for Global 1,000 manufacturers and led the company to a successful acquisition by SAP.