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Title:
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A Mathematical Approach for Evaluating Metrologist Productivity
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E-mail:
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lester.h.stricker@boeing.com
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Abstract:
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Among the most compelling business topics in the metrology community are the intertwined concepts of employee productivity and performance. For those firms that provide commercial calibration services, the level of productivity is often the key factor in determining whether the business is a success or a failure, because the employer’s profits rise and fall relative to peaks and valleys in employee productivity. In the contemporary business world, these factors are germane even when the metrology laboratory performs services for either government entities or larger parent organizations.
Classical business theory clearly demonstrates that the evaluation of individual employee productivity is critical to understanding the profitability of any service organization. Despite this inherent value, the majority of metrology organizations persist in using purely arbitrary tools to evaluate employee performance, instead of attempting to quantify individual productivity in a statistical manner. When observers dissect these tools, they discover how meaningless these evaluations really are. This situation is regrettable because while performance consists of many difficult to measure variables, metrology managers can typically quantify the critical parameter of productivity. This is especially true for companies that provide commercial services because they often base their fees on historical data, which reflects how long a specific task should take. Laboratories providing service to parent organizations see this problem magnified because upper management rarely attempts to quantify productivity of their internal departments. Far too often, they attempt to understand productivity dynamics only when the reality of being out-sourced confronts them. Regardless of the nature of their business, it is imperative that all metrology laboratories develop a mathematical approach for quantifying the productivity of their employees.
In this paper, the author combines his personal experiences in the calibration industry with statistical processes to demonstrate a method that results in meaningful metrics. This approach empowers managers by providing them with the tools required to make constructive systemic changes, to compensate employees in a more appropriate manner, and to understand their businesses at the grass roots level. By better understanding these variables, metrology organizations of every size and background can experience enhanced productivity and profitability.
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