Standard Process Times Analysis Report (Style Categories)

Standard Process Times Analysis Report (Style Categories)

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In order to evaluate how your production processes are actually performing, it's important to understand how to access the Standard Process Times Analysis Report, interpret the information it displays, review worker-level data, customize the time display, and put the report's insights to effective use.

Overview

The Standard Process Times Analysis Report lets you compare the estimated time for each process with the actual time it takes to complete on the production floor. It gives engineering and production teams the insight needed to evaluate process efficiency, identify gaps between planned and actual performance, and make data-driven decisions that improve production strategies.


Accessing the Standard Process Times Analysis Report

Follow these steps to access the report:

  • Start by accessing the Industrial Engineering module within the system.
  • Locate and select Style Categories within the Industrial Engineering module.
  • Click the table icon for the desired style category. The system opens a table specific to that category.
Style Category Table

Understanding the Displayed Information

The table that opens contains detailed information critical for analyzing standard process times:

  • Process Information: Displays the name and details of the processes associated with the selected style category.
  • Estimated Time: Shows the pre-determined estimated time for each process, used as the benchmark for performance evaluation. It's calculated as the average of the estimated times for the different machine types used in the process.
  • Average Actual Time: Represents the average time actually taken to complete the process on the production floor.
  • Time on Slowest and Fastest Days: The slowest day is calculated by taking the maximum average actual time across all days, and the fastest day by taking the minimum. These figures shouldn't be compared against production pace or individual processes, since they represent averages for the slowest and fastest days, not the slowest or fastest individual piece.
  • Total Pieces Produced: Indicates the total output for each process, giving a quantitative measure of productivity.

Accessing Worker-Level Data

To view details at the individual worker level:

  • Click the dropdown next to the process name to expand additional details.
  • View data segmented by individual worker, including all the metrics listed above, but at the worker level.
Worker-Level Data

Customizing the Time Display

Users can adjust the display settings to show time in minutes and seconds, as targets per hour, or in minutes only.

Customizing the Time Display

Tips for Effective Use

  • Regularly update time frames: Adjust the analysis time frame frequently to keep your data relevant and up to date.
  • Compare workers and processes: Use the data to compare different workers and processes, and identify trends and outliers that can guide process improvements.
  • Use learning curve data: Pay attention to the slowest and fastest day metrics to understand how efficiency improves over time and to plan training schedules effectively.

Frequently Asked Questions (FAQs):

  • What does the Standard Process Times Analysis Report show?
    It compares the estimated time for each process with the average actual time to complete it, and also displays time on the slowest and fastest days along with total pieces produced.
  • Can I view data broken down by individual worker?
    Yes, click the dropdown next to the process name to view all the metrics at the individual worker level.
  • What time display options are available in the report?
    Time can be displayed in minutes and seconds, as targets per hour, or in minutes only.
  • How are the slowest and fastest day figures calculated?
    The slowest day is the maximum average actual time across all days, and the fastest day is the minimum. These figures represent day averages, not the slowest or fastest individual piece.
  • How can I use this report to improve production efficiency?
    By regularly updating time frames, comparing worker and process performance, and using learning curve data to plan training schedules.

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