Labor often represents 45% or more of a given company's annual costs, and it's the one variable that's typically the easiest one for management to adjust quickly. Still, when companies face challenging times – either due to a need to 'ramp up' or 'scale back' team resources – managers are typically most reluctant to change staffing levels. This is often out of a genuine sense of concern for team member morale – but it's also just as often due to an inability to objectively determine optimum team sizes, performance levels and costs necessary to 'get the job done.' Robust Production Management (RPM) Module 5: "Staffing Models," provides the tools, formulas, calculations, and templates that can help managers in any company – of any size or type – optimize team sizes through the use of objective data. With RPM Module 5, you no longer have to guess at the required size of your teams – you'll KNOW. "Staffing Models" is the fifth module in the Metrilogics RPM management training series – more on the way.
RPM Module 5 delves into the intricacies of staffing models, providing a comprehensive framework for managers to incorporate key performance variables. The module includes detailed templates and calculations to determine task hourly capacity rates, quality levels, productivity rates, and loaded team resource compensation. This ensures that staffing decisions are data-driven and aligned with operational goals.
The module also addresses indirect time variables, such as project time, system downtime, and paid breaks, which are crucial for accurate staffing assessments. By quantifying these variables as percentages, managers can better understand their impact on overall productivity. The included staffing model templates offer a practical tool for visualizing and optimizing team structures, making this module an essential resource for any manager looking to streamline operations and reduce costs.
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Source: Best Practices in Staffing PDF: Robust Production Management (RPM) Module 5: Staffing Models PDF (PDF) Document, Lance Latham
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