How to Calculate Performance in SyteLine

Manufacturing performance is a crucial aspect of any production process. It helps businesses identify areas for improvement, optimize efficiency, and enhance overall productivity. In today’s highly competitive market, having a clear understanding of manufacturing performance can give companies a distinct advantage. SyteLine, a powerful enterprise resource planning (ERP) system, offers robust tools for calculating and analyzing manufacturing performance. This article will guide you through the process of calculating manufacturing performance in SyteLine, step by step.

Value of Performance Metric When Calculating OEE

One of the key performance metrics used in manufacturing is Overall Equipment Effectiveness (OEE). OEE provides valuable insights into how effectively machines and equipment are being utilized. By calculating OEE, businesses can identify potential bottlenecks and areas of improvement, leading to increased efficiency and reduced downtime.

There are three main components of OEE:

1. Availability: The percentage of time that equipment is available for production.
2. Performance: The speed and efficiency at which equipment operates compared to its optimal performance.
3. Quality: The percentage of produced units that meet the required quality standards.

By calculating these three components and combining them, businesses can obtain an overall OEE score that reflects their manufacturing performance accurately.

Availability is a crucial factor in OEE calculations as it directly impacts the potential output of a manufacturing process. Factors such as scheduled downtime, breakdowns, and changeovers can all affect the availability of equipment. By monitoring and improving availability, businesses can ensure that their machines are running optimally, maximizing production capacity.

Performance, another key component of OEE, focuses on how efficiently equipment is running in relation to its designed capacity. Factors such as speed losses, minor stops, and idling can all contribute to a decrease in performance. By addressing these issues and optimizing equipment performance, businesses can enhance their overall productivity and output.

Analyzing Production Cycle Times for Improved Performance

Production cycle times play a significant role in determining manufacturing performance. By analyzing and optimizing cycle times, businesses can identify areas of inefficiency and implement strategies to reduce production time.

One approach to analyzing production cycle times is to break down the process into individual steps and measure the time taken for each step. This helps in identifying bottlenecks and areas where improvements can be made. Once these areas are identified, businesses can focus on streamlining processes, improving equipment utilization, and eliminating non-value-added activities.

Continuous monitoring and analysis of production cycle times are essential for maintaining high manufacturing performance.

Moreover, in today’s competitive market, reducing production cycle times can provide a significant competitive advantage. Shorter cycle times not only lead to cost savings but also enable businesses to respond more quickly to changing market demands. This agility in production can result in increased customer satisfaction and loyalty.

Another important aspect of analyzing production cycle times is the utilization of technology. Advanced data analytics tools can help businesses gather real-time data on production processes, identify patterns, and predict potential bottlenecks. By leveraging technology, companies can make data-driven decisions to optimize their production cycle times effectively.

Step-by-Step Guide to Calculating Performance in SyteLine

Step 1: Access SyteLine (Infor CloudSuite Industrial)

1. Log in to SyteLine: Use your credentials to access the system. The interface and available modules will depend on your user role and permissions.
2. Navigate to the Manufacturing or Production Module: This module provides access to the tools and data needed for managing and monitoring production activities.

Step 2: Gather the Required Data

To calculate performance, you need three key data points:

1. Ideal Cycle Time: This is the standard time required to produce one unit under optimal conditions.
   • In SyteLine, navigate to the Items or Routing module.
   • Select the relevant item or product.
   • The ideal cycle time is usually detailed in the Routing or Operations section, associated with the specific part or job.
2. Total Count: This is the total number of units produced during the run time.
   • Go to the Work Orders or Job Orders module.
   • Find the specific job or production order you are analyzing.
   • The total count (quantity produced) can be found in the Job Details or Production Summary section.
3. Run Time: This is the total time the production equipment was actively running to produce the total count.
   • In the same job or production summary section, locate the Run Time data, often labeled as Actual Run Time or Production Time.
   • Ensure that this time only includes productive time, excluding any downtime or stoppages.

Step 3: Perform the Calculation

With the required data at hand:

1. Open a Calculator or Spreadsheet: While SyteLine may not automatically perform this specific calculation, you can easily do it manually or in a spreadsheet like Excel.
2. Calculate Performance:
   • Multiply the Ideal Cycle Time by the Total Count.Divide the result by the Run Time.

Step 4: Record and Analyze the Performance

1. Document the Calculation: Record the calculated performance percentage in a report, spreadsheet, or directly into SyteLine if your system has custom fields or dashboards for performance metrics.
2. Compare Against Standards: Compare the calculated performance against internal benchmarks or industry standards to determine the efficiency of the production process.
3. Investigate Variances: If the performance is lower than expected, use SyteLine’s analytics and reporting tools to identify potential issues, such as machine downtime, bottlenecks, or inefficiencies in the process.

Step 5: Continuous Improvement

1. Monitor Performance Regularly: Continuously track performance data to identify trends, recurring issues, or opportunities for improvement.
2. Implement Process Improvements: Based on your analysis, implement corrective actions such as optimizing work processes, scheduling preventive maintenance, or providing additional training to operators to enhance performance.
3. Leverage SyteLine’s Advanced Features: Utilize SyteLine’s advanced features like Factory Track, Production Scheduling, and Real-Time Data Collection to automate data gathering, streamline calculations, and improve the accuracy of performance tracking.

Troubleshooting Common Issues in Performance Calculation

While calculating manufacturing performance in SyteLine, businesses may encounter common issues that can impact the accuracy of the results. Being aware of these issues and troubleshooting them is crucial for obtaining reliable performance insights.

Some common issues include:

• Inaccurate Data Entry: Ensure that data entered into SyteLine is accurate and free from errors to avoid misleading performance calculations.
• Lack of Standardization: Inconsistent measurement methods or units of measure can lead to inaccurate performance calculations. Standardize measurement methods to ensure consistency.
• Missing Data: Missing data can skew performance calculations. Make sure all relevant data is collected and included in the analysis.
• Appropriate Timeframes: Use appropriate timeframes when analyzing performance to obtain meaningful insights. Avoid measuring performance over too short or too long periods.

Addressing these common issues will help ensure accurate performance calculations and reliable insights. It is essential to consider the impact of external factors on performance calculations. External factors such as market trends, economic conditions, and supplier issues can significantly influence manufacturing performance. By analyzing and understanding these external factors, businesses can make more informed decisions to improve their overall performance.

Another important aspect to consider is the use of performance metrics. Choosing the right performance metrics is crucial for accurately evaluating manufacturing performance. Metrics such as Overall Equipment Effectiveness (OEE), cycle time, and scrap rate can provide valuable insights into different aspects of manufacturing performance. It is important to select metrics that align with the business goals and objectives to ensure meaningful analysis.

Integrating Smart Factory Tools for Accurate Performance Insights

To obtain accurate and real-time manufacturing performance insights, businesses can integrate smart factory tools with SyteLine. Smart factory tools, such as Internet of Things (IoT) devices, sensors, and real-time monitoring systems, provide valuable data for performance analysis.

By connecting these tools to SyteLine, businesses can access up-to-date information regarding equipment utilization, production cycle times, quality metrics, and more. This integration allows for better visibility into manufacturing operations, enabling proactive decision-making and performance improvement initiatives.

Integrating smart factory tools with SyteLine unlocks the full potential of manufacturing performance analysis, facilitating data-driven decision-making and empowering businesses to stay ahead in a rapidly evolving market.

Furthermore, the implementation of IoT devices in manufacturing processes not only enhances data collection but also enables predictive maintenance strategies. These devices can monitor equipment performance in real-time, detecting anomalies and potential failures before they occur. By leveraging this predictive maintenance approach, businesses can minimize downtime, reduce maintenance costs, and optimize overall equipment effectiveness.

The integration of real-time monitoring systems with SyteLine offers a comprehensive view of the production environment. Managers can track key performance indicators, identify bottlenecks in the production line, and make informed decisions to streamline operations and enhance productivity.

Optimizing Efficiency with Mingo Smart Factory

Calculating manufacturing performance is an essential aspect of optimizing efficiency and productivity in today’s competitive environment. By leveraging the power of SyteLine and following a systematic approach, businesses can accurately measure their performance metrics, identify areas for improvement, and drive continuous improvement initiatives.

How many steps does it take to calculate performance within the Mingo Smart Factory dashboard? The answer is one.

Ready to take your manufacturing performance to the next level with a system that’s easy to use and quick to implement? Look no further than Mingo Smart Factory, the productivity platform designed for the unique needs of manufacturers. With Mingo, you can enjoy a plug-and-play solution that’s ready to go in days, not months, without the need for dedicated IT support. Whether you’re looking to connect to existing equipment or need hardware for data collection on older machines, Mingo has you covered. Talk to an Expert today and discover how Mingo Smart Factory can help you optimize efficiency, productivity, and drive sustainable growth.