Smart manufacturing
Improve Production, Performance Efficiency, Product Quality, Maintenance, Traceability, Inventory, Scheduling Optimization, Worker Communications, Energy Usage, Compliance, and Overall Standardization
Your Digital Transformation Journey
To remain competitive, manufacturers need to leverage their data and the latest digital tools to improve productivity; but determining how best to address existing gaps and opportunities can be challenging. Typical approaches often involve implementing one-off solutions to solve each problem, with no strategy in place.
At Polytron, We See a Better Way
Our holistic, proven approach to improving manufacturing starts with developing a digital transformation strategy tailored to each manufacturer’s specific needs and opportunities to improve productivity. Then, by leveraging best practices and proven solutions, we create an agile implementation plan designed to improve efficiency and profitability.
How We Work
Best Practice Methodology
We apply an agile, best-practice framework that prioritizes high-ROI initiatives, aligns business drivers and stakeholders, and evolves technology roadmaps. Our process spans from identification to piloting to measuring results and scaling solutions across multiple plants.
Discovery and Alignment
Engagement begins with discovery and demo sessions led by senior system architects, not sales, who assess your current landscape, prioritize requirements, showcase technology options, and build a tailored agile MES strategy that reduces risk and drives adoption.
Digital Transformation Partnerships
We deliver the greatest value to our clients under our digital transformation partner model where we combine our decades of experience with best practices, proven technologies, and a well-tested implementation approach.
You Have Manufacturing Challenges, We Have Solutions
| Your Challenge | Our Solution | How it Works |
|---|---|---|
| Unplanned downtime or unmet production targets | Performance & Downtime Tracking | Monitors equipment performance and OEE in real time to identify bottlenecks, understand causes of downtime, and drive continuous improvement. |
| A production schedule that is constantly changing and unoptimized | Production Tracking & Production Scheduling | Tracks production orders through the plant and optimizes scheduling based on order volume, inventory levels, asset capacity, utilization, and downtime. |
| High scrap and rework costs due to inconsistent quality | Quality Management | Enforces quality standards by providing clear instructions, timely notifications, and meaningful information to eliminate the high cost of poor quality. |
| Regulations that require full traceability | Traceability | Tracks materials and processes across each step to ensure transparency and regulatory compliance, such as FSMA 204. |
| Processes rely on tribal knowledge and paper-based instructions. | Connected Worker / Visual Workflow | Digitizes work instructions, checklists, and approvals to capture tribal knowledge and guide operators, enabling collaboration and supporting an aging workforce. |
| Unexpected equipment breakdowns | Maintenance Management & Predictive Maintenance | Provides real-time metrics for machine run times, performance, historical trends and maintenance records, helping prevent breakdowns; predictive maintenance leverages analytics to address issues before they occur. |
| Inventory inaccuracies cause stock-outs or overstock | Inventory Management & Scheduling | Optimizes the flow of raw materials, work-in-progress, and finished goods to reduce working capital requirements, manage lead times, avoid production disruptions, and improve on-time delivery. |
| Lack of a central repository for process and production data or intuitive dashboards to support decision making | Historian & Reporting Tools | Collects and contextualizes process and production data, enabling dashboards, scoreboards, and reporting for informed decision-making based on roles. |
| Batch recipes that are inconsistently executed | Recipe Management & Batching | Manages complex recipes and batch execution with full traceability and compliance. |
| Inaccurate material and labor planning | Resource Planning & Tracking | Tracks materials and labor to improve capacity planning and reduce overtime. |
| Energy costs are rising and process parameters are drifting | Energy Management and Centerlining | Monitors energy consumption and process settings to support sustainability and cost reduction. |
| Equipment isn’t connected and can’t capture real-time data or integrate with the ERP or other systems | IoT Mesh Sensors and System Integration | Implements wireless/mesh sensors, RFID readers, and other hardware to capture data and integrate with existing systems. |
| It takes too much time to generate reports | AI Queries Using Natural Language | Uses AI capabilities to provide natural-language queries and rapid insights into operational data. |
Polytron + Parsec: Built for Smart Manufacturing Success
At the core of Polytron’s smart manufacturing solutions lies Parsec Automation’s TrakSYS software. Our highly experienced team uses this unified, best-in-class platform to deliver targeted, data‑driven insights across inventory, production, quality, and maintenance to help manufacturers optimize operations and maximize ROI.
- Parsec Certified Strategic Partner
- 20+ years of digital manufacturing experience
- CSIA‑certified team
- Three-time System Integrator of the Year award recipient
Polytron x TrakSYS Connected Worker
The Connected Worker platform unifies people, processes, and data to improve visibility, coordination, and performance across your operations.
Enable real-time communication between teams to quickly resolve issues, share critical updates, and keep production running smoothly.
Deliver timely, role-based alerts that help teams respond faster to events, reduce downtime, and stay aligned with operational priorities.
Easily configure users, workflows, and system preferences to tailor the platform to your processes and ensure consistent execution.
Start Your MES Strategy
Develop a better understanding of your landscape, gaps, and business drivers and develop an MES Strategy for your specific business based on best practices and proven case studies with three complimentary road map sessions led by senior system architects, not sales.
Resources
More Production with Less Capital
Best Practices for a Successful MES Strategy
Strategy & Business Case FAQs
A best-practice based, proven approach is to find the highest ROI opportunities for MES/MOM so you can demonstrate measurable financial outcome/ROI for the first phase of implementation. Leverage proven case studies from other manufacturers for credibility and best-in-class technologies as identified by leading global research and advisory firms and trusted independent integrators. For Example, one of our clients postponed building a $60MM factory by 18 months by implementing a solution that improved throughput at their existing facility, allowing them to meet demand with their current assets.
With the right strategy and tools in place, MES can integrate seamlessly with your existing PLCs, SCADA, ERP, and other legacy systems without requiring a full rip-and-replace. Our phased implementation approach allows value to be delivered within three months in most cases by focusing on the biggest pain points first, without disturbing working legacy systems.
In a best-practices architecture, an ERP manages business-level functions like orders, inventory, and financials; a SCADA system controls and monitors real-time equipment and process data on the plant floor; and MES bridges the two by managing production execution, tracking performance, enforcing quality, and providing actionable insights.
The best way is through a phased, business-first approach that starts with a clear roadmap aligned to operational goals then uses pilots in targeted areas to prove value before scaling plant-wide.
