Event Analysis

This application provides comprehensive pareto and statistical analysis of the selected event type. In general, raw data is gathered based on the filter criteria specified. That data is then summarized in a specific way for each chart. The following parameters are required:

The start and end times
The production unit(s)
The specific event you want to analyze

If you choose events that are quantity based instead of time based, the report displays quantities instead of times. For example, waste doesn't show durations, it shows the amount of waste.

While viewing the report, you can hover over most items to view detailed information, and most charts and graphs can be clicked to view more specific information. You can also dynamically change the information on the report by clicking the Properties icon to open the Event Analysis Options dialog box, where you can change the following information:

Event type
Security group
Time period
Production units
Products
Causes and actions
Which analysis to perform

Definitions
Duration	The duration of the event but pro-rated so that none of the event falls out of the reporting range.
Time to repair	The duration of the event. If the event doesn't have an end time, the current time is assumed.
Time previous failure	The amount of uptime between the events. Uptime that starts before the reporting time is not counted, but the last uptime that starts within the reporting range is fully counted.
MTTR	Mean time to repair. The average time it takes to repair something.
MTBF	Mean time between failures. The average length of time between failures.
MAPE	The mean amount of waste per event. MAPE replaces MTTR for waste events.
MABE	The mean amount produced between waste events. MABE replaces MTBF for waste events.
Operating Time	Operating time is Gross Running Time.

Product Analysis

% Operating Time: This pie chart shows the percentage of time that each product ran out of the total operating time. Example: (Prod1 Operating time) / (Total Operating time)

% Fault Time: This bar chart shows percentage of downtime that occurred, grouped by the product that was running. Example: Product 1 Fault Time % = (downtime during Product 1) / (operating time of Product 1)

Crew Analysis

% By Crew: This pie chart shows the percent of downtime attributed to a specific crew.

MTTR By Crew: This bar chart shows the average time to repair, in minutes, for each crew. Example: sum(crew1 time to repair) / crew 1 downtime occurrences

MTBF By Crew: The bar chart shows the average uptime, in minutes, for each crew.

# Occurrences By Crew: This bar chart shows the number of downtime events that occurred during each crew.

Fault Analysis

% By Fault: This pie chart shows the percent of downtime attributed to a specific fault.

MTTR By Fault: This bar chart shows the average time to repair, in minutes, for each fault. Example: sum(fault1 time to repair) / fault1 downtime occurrences

MTBF By Fault: The bar chart shows the average uptime, in minutes, for each fault.

# Occurrences By Fault: This bar chart shows the number of downtime events that occurred during each fault.

Cause Analysis

% By Cause: This pie chart shows the percent of downtime attributed to a specific cause.

MTTR By Cause: This bar chart shows the average time to repair, in minutes, for each cause. Example: sum(cause1 time to repair) / cause1 downtime occurrences

MTBF By Cause: The bar chart shows the average uptime, in minutes, for each cause.

# Occurrences By Cause: This bar chart shows the number of downtime events that occurred during each cause.

Action Analysis

% By Action: This pie chart shows the percent of downtime attributed to a specific action.

MTTR By Action: This bar chart shows the average time to repair, in minutes, for each action. Example: sum(action1 time to repair) / action1 downtime occurrences

MTBF By Action: The bar chart shows the average uptime, in minutes, for each action.

# Occurrences By Action: This bar chart shows the number of downtime events that occurred during each action.

Location Analysis

% By Location: This pie chart shows the percent of downtime attributed to a specific location.

MTTR By Location: This bar chart shows the average time to repair, in minutes, for each location. Example: sum(location1 time to repair) / location1 downtime occurrences

MTBF By Location: The bar chart shows the average uptime, in minutes, for each location.

# Occurrences By Location: This bar chart shows the number of downtime events that occurred during each location.

Category Analysis

% By Category: This pie chart shows the percent of downtime attributed to a specific category.

MTTR By Category: This bar chart shows the average time to repair, in minutes, for each category. Example: sum(category1 time to repair) / category1 downtime occurrences

MTBF By Category: The bar chart shows the average uptime, in minutes, for each category.

# Occurrences By Category: This bar chart shows the number of downtime events that occurred during each category.

Non-productive Time

These charts are reporting on non-productive time for the entire reporting range, not just what occurred during the event being analyzed. For more information, see Non-Productive Time.

Non-Productive time reasons. Displays the amount of non-productive time that can be attributed to each reason.

Productive time vs. non-productive time. The ratio of productive vs. non-productive time.

Non-productive reason occurrences. The number of occurrences of each type of non-productive reason.

Capability Analysis

The curved line represents a normal distribution curve based on the standard deviation and average. The bars represent the number of occurrences of a "time to repair" range. For example, one bar could represent a time to repair of 10 minutes. The height of the bar determines how many times the time to repair was 10 minutes.

The background colors represent the specification limits (upper warning, lower reject, and so on). The MTBF analysis is the same, except that the time since the previous failure is used.

Trends

The trend line overlays the actual data to show a rough representation of the slope of the data. The trend is a linear regression analysis of the data points, and represents a best fit straight line. The least square method is used to calculate the slope and y intercept.

The background is shaded based on the average and standard deviation values of the data.

The yellow zone start value is calculated using the formula Avg + (2 x StdDev).
The red zone is calculated using Avg + (3 x StdDev).
The rest of the background is green.

The standard deviation uses the StdDevP function, which calculates standard deviation based on the entire population.

The total time trend plots the duration of the event in the number of buckets specified in the parameters.

The MTBF trend plots the time since previous failure.

The MTTR plots the time to repair.

Data Summary

Cause: This is the cause of the event.

Total: The sum of the duration (in minutes) of the cause. If the event is a Waste event, then the total is the total waste amount for the cause.

MTTR: Mean Time To Repair. This is the average number of minutes that the event lasts. In other words, it is the average amount of time it took to repair the problem. The number in the parentheses is the standard deviation of MTTR. For alarms, MTTR is the time to acknowledge the alarm plus the time to repair.

MTBF: Mean Time Between Failure. This is the average number of minutes before a fault occurs. The number is parentheses is the standard deviation of MTBF. MTBF is a direct indication of the probability that a particular fault will be the fault that will cause failure. The shorter the MTBF for a particular fault, the higher the probability that it will be the fault that will cause failure. If the event type is a Waste event, then MTBF becomes MABF (Mean Amount Between Failure), which is the mean production amount between waste events.

MTTA: Mean Time To Acknowledge. This applies only to alarms and is the average number of minutes it takes for an alarm to be acknowledged.

#Occurrences: The sum of the number of causes.

%Total: The duration of this event compared to the operating time.

%Fault: The duration of this event compared to the total production time.

Inc MTTR (Incremental Mean Time To Repair). The standard deviation of the time to repair compared to the total production time.

Inc MTBF (Incremental Mean Time Between Failure). The standard deviation of the mean time between failures compared to the total production time.

Comparing Inc MTTR to Inc MTBF can help you statistically determine if more benefit can be realized by improving repair times (MTTR) or preventing failures (MTBF).

Criteria Summary

This chart is a summary of the criteria used to create the Web report.