## Where is the Labor Metrics page Located?

You can find this report under * Dashboards *➡️

**Labor Metrics.****no**cross-filtering in this report

### How do I filter and refresh the dashboard?

You can set up the report by filtering several parameters: including **Operator, Machines, Cells, Shifts, Parts, and Exclude Planned Downtime.**

### How do I get the data to show up in the dashboard?

Two things must be in place for your Labor Metrics dashboard to populate with relevant data:

- Tally Sheets must be activated
- Operators must be signing in to Amper

*sign in*to Tally Sheets.

# Definitions

Along with these new reports comes a new set of Amper terms: below are definitions and calculations that will be useful for reference.

### 1. Total Paid Hours

Total Paid Hours is the total accumulation of time an employee has worked on Amper machines during their shift. This time is determined from when the *first tally sheet was started* to when the *last one ended*.

**Note: **Planned Downtime is not removed from the Total Paid Hours

### 2. Labor Multiplier

The labor multiplier answers the question, “for every hour of labor that I paid out, how much machine uptime did I get in return?” It is the number of machine up hours divided by total number of hours paid.

**Labor Multiplier = Uptime Hours/ Total Hours Paid**

You should use this number to understand the machine up hours an operator returns with their paid time. Since this is pulled from uptime, the labor multiplier is directly related to an operator’s machine utilization.

**For operators running multiple machines, this number should ideally be**

**greater than 1.**

For example, if an operator is paid for 8 hours of work but only has 6 hours of machine uptime, their labor multiplier would be 0.75. This means that for every hour of labor paid, the operator provides 0.75 hours of machine uptime. If another operator is paid for 8 hours of work but has 10 hours of machine uptime, their labor multiplier would be 1.25. This means that for every hour of labor paid, the operator provides 1.25 hours of machine uptime. The labor multiplier is useful for understanding the efficiency and productivity of operators and can help identify areas for improvement.

### 3. Total Engaged Hours

Total Engaged Hours is the total time that an operator is responsible for a given machine (or a set of machines) during their shift.

**Total Engaged Hours sums up all of the hours that an operator was signed into a machine(s) for a given time period. **

So for example, an operator may have only worked an 8 hours shift, so their paid time is 8 hours, but they were signed into 3 machines, which all ran 6 hours each. That means the Total Engaged Hours for that operator is 18.

**Note: **Planned Downtime is not removed from Total Engaged Hours.

### 4. Engagement Multiplier

Another question you may be asking yourself: “For every hour I pay an operator, are they actually signed into and working on the desired number of machines?” The Engagement Multiplier is directly related to an operators’ bandwidth.

The Engagement Multiplier is the total number of engaged hours divided by total paid hours.

**Engagement Multiplier = Total Engaged Hours/ Total Paid Hours**

**Example 1: **You can use the Engagement Multiplier to give additional color to the Labor Multiplier. If 2 operators have the same labor multiplier (they both earned the same amount of uptime for the hours they were paid), but operator A has 2X higher engagement multiplier, that means that operator A was running more machines and earned the same amount of uptime as operator B who ran 1/2 the machines. This could prompt you to look into training opportunities for operator A to increase their personal efficiency.

**Example 2**: Let’s say you know operator A was assigned to run 3 machines, and operator B was supposed to be running 2 machines, but they have the same Engagement Multiplier. In theory, you’d expect the operator running 3 machines to have a higher engagement multiplier than the operator running 2 machines. However, since both operators share the same Engagement Multiplier even with a different number of assigned machines, this will signal an opportunity to find out why. Perhaps operator A is stretched too thin and was never able to sign into the 3rd machine. Or perhaps quality issues from an upstream process may be starving the 3rd machine - if you set goals for each operator’s Engagement multipliers and review their performance often, you might be able to hone in on inefficiencies in your labor and/or plant.

### 5. Direct Time

Direct Time is a useful metric for identifying where operators are spending their time. It measures the number of hours of paid labor applied to a given machine.

For instance, if an operator works an 8-hour shift, Direct Time can show the proportion of time spent on each machine. In simple terms, Direct Time answers the question, "If I'm paying my operator for an 8-hour shift, how did they spend their time?"

**Direct Time for a Machine = **(Engaged Hours on a particular machine/Total Engaged Hours) x Total Paid Hours

**Example**: If Bob is running 2 machines over an 8 hour shift, and is signed into Machine A for 7 hours and Machine B for 6 hours, he would have 13 Total Engaged Hours for that shift, and an Engagement multiplier of 1.625 (13 Engaged Hours / 8 Paid Hours). We want to know how much direct time was applied to each machine out of those Paid Hours.

- Machine A = (7 Engaged Hours on Machine A / 13 Total Engaged Hours) x 8 Paid Hours = 4.31 Direct Hours
- Machine B = (6 Engaged Hours on Machine A / 13 Total Engaged Hours) x 8 Paid Hours = 3.69 Direct Hours

# What Does The Dashboard Look Like?

### Labor Multiplier

This will show each of your operators’ labor multiplier (in the timeframe you choose) based on their uptime over their paid time. For an operator running a single machine, it’s ideal to see their Labor Multiplier closer to 1. For an operator running multiple machines, it’s ideal to see their Labor Multiplier greater than 1

### Labor by Operator

This easy-to-view table will show all the labor data we collect along with the operator's utilization. Please reference the Definitions above, for more details on what each data column means.

### Labor Multiplier By Machine

This chart breaks down how every operator performs on each machine compared to one another. Remember Labor Multiplier = Uptime / Total Paid Time. So higher is more efficient!

Questions that can be answered using this graph:

- Does one operator do significantly better than others on one machine? (maybe they have a best practice for loading that can be shared with others?)
- Is there one machine that all operators have a low Labor Multiplier on?
- Do we need to retrain certain individuals showing lower Labor Multipliers?
- Is there a mechanical issue that isn't being reported on machines with lower Labor Multipliers?

### Up Hours vs Paid Hours

Bar graph showing Up Hours vs Total Paid hour on a per machine basis.

### Direct Time by Machine

Broken down by the operator, you can view how much relative time is spent on each machine within the chosen period.

### Engaged Vs Paid

This bar graph will show you each operator’s Total Engaged Time vs Total Paid Hours.

### Labor Metrics Dashboard** Recommendatio****ns**

- Set up a to review how your labor metrics are trendingWeekly Labor Report for the Last 30 Days
- This is useful for Operations Managers and GMs
- Set up a to address any immediate concerns - see your top and bottom performers from yesterdayDaily Labor Report for Yesterday
- This is useful for Supervisors—you can filter by machine or cell that each supervisor wants to see.

**See Below for a Example Labor Metrics PDF 👇**