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CatalystCommandTM
Labor Management
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Maximize Performance and Increase Operational Efficiency
Improving labor productivity can dramatically affect your bottom line, but many companies do not
have the means to effectively monitor and optimize performance. 
CatalystCommandTM Labor Management
enables you to automate labor planning and management so that you can easily identify unproductive
time and significantly increase throughput by deploying your resources for maximum profit.
With Labor Management, you can establish time standards, calculate estimates for task completion,
and compare them to actual times to drive better performance throughout the organization:
Use our industry-best algorithms to create your baseline standards and compute estimates.
The algorithms contain both elements (i.e., standard times for handling, travel and processes) and
factors (i.e., multipliers that adjust standard times for variables such as order type or material
handling type) that are used to compute the estimated time for a given work type or task.
Benefit from flexible data setup. Data setup can be as minimal as tracking actuals with no
baseline standards or as comprehensive as using historical data or industrial engineering consultants
to establish baseline standards.
Take advantage of our time-saving data entry features during setup. Combine setup of similar
entries by entering one value for all work types in a single entry. Save time using our unique
wildcard feature, which enables you to wildcard the source and destination location of the time
element.
Leverage captured data for optimized planning. Worker productivity can be monitored real-time
from an online dashboard or using historical reports. Unproductive times can be uncovered and tasks
analyzed to identify areas needing procedural or operational improvement.
Plan required labor needs using online interface and reports. Seasonal demand can be difficult
to plan for without an automated system. Labor Management’s workload planning features enables you
to effectively forecast the workload and divide labor across multiple days and shifts.
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