Say good-bye to manual time tracking
Shop Floor Insight is a comprehensive solution for barcoded time capture, time and attendance, and employee time management.
Eliminate manual time entry with barcode scanning for Production Orders, Jobs, Service Orders, and Maintenance
Capture operational data on the shop floor or in the field, including consumption, output, scrap, and quality
Record non-productive and rework time for advanced reporting
Record time and attendance based on employee shifts with exception reporting
Multi-level timecard approval from shop floor or NAV
Automatically calculate overtime and shift differentials for integration with payroll systems
Access via a web browser to enable data entry from mobile devices in the field or shop floor
Certified for Microsoft Dynamics
Shop Floor Insight has been certified by Microsoft which means it meets Microsoft’s highest standards for Dynamic implementation. You can trust Shop Floor Insight to work seamlessly with your implementation of Microsoft Dynamics NAV.
Professional production management
Shop Floor Insight utilizes barcoded production orders to simplify data capture on the shop floor and reduce the errors associated with manual time entry.
Streamline shop floor data capture
Enhance data capture and management using Shop Floor Insight’s intuitive user interface. Employees can quickly record setup and/or run time against production orders, nonproductive time, and maintenance using shared shop terminals or handheld devices.
Significantly reduce rework
Calculating rework (the amount of time spent repairing defective product) can be extremely tedious and hard to determine. Shop Floor Insight provides readily available insight into not only how much rework is taking place, but also allows users to drill-down for root cause analysis and rework.
Real-time Reporting
Real-time reporting enables users to analyze job progression and costing; providing immediate feedback to supervisors and planners while maintaining
a detailed production history. Shop Floor Insight also provides pre-configured reports for managing operations, which can be used for safety program compliance.
Drastically reduce time and attendance data entry
Reduce labor costs and data entry errors
Automate the time collection process to significantly reduce the labor costs and data entry errors associated with manual entry. Users enter time and attendance information directly into NAV, with simple supervisor approvals.
Built-in validation and configurable payroll rules eliminates manual payroll data management. Shop Floor Insight’s intuitive shop floor interface, which emulates the look and feel of a paper time card, reduces training time and minimizes change for the end users, helping to ensure a successful and cost effective rollout.
Customizable and configurable
Customizable rules further reduce the time and effort required to calculate overtime and other variables. Configurable work types, payroll codes, project types, and shift patterns adapt to all potential workforce configurations.
Clear communication
In the event of time card issues, collaboration tools allow the payroll department to efficiently communicate directly to responsible personnel. Resolving time card issues at the source helps to minimize the time required for resolving discrepancies after payroll has been run.
An investment in your company
Shop Floor Insight pays for itself in as little as three months. By automating your shop floor data collection, you will increase data accuracy, reduce unnecessary overhead costs and improve the efficiency of your staff; helping to enable your staff to focus on value added tasks to drive business performance.
The Shop Floor insight ROI calculator will help you to estimate some key financial benefits of the solution:
How much overhead time can be saved by automating your shop floor data collection.
Savings gained from increased quality.
The increase in sales driven by improved efficiency and quality.
The payback period for Shop Floor Insight.
Packed with all the features you need…
and then some
and then some
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