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The individual human variability in time studies to determine the production standards is taken care of by?
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Individual Human Variability in Time Studies

  • Introduction

  • When setting production standards, it is important to consider the variability that exists among individual workers. This variability can be caused by factors such as differences in skill level, physical capacity, and work habits. Ignoring individual variability can lead to unrealistic standards that are difficult or impossible for some workers to meet.

  • Methods for Addressing Individual Variability

  • There are several methods that can be used to account for individual variability in time studies:


    • Time Study Sampling: Rather than timing every task performed by every worker, a sample of workers and tasks can be selected to obtain a more representative picture of the workforce. This approach reduces the impact of individual variability by averaging out differences among workers.

    • Performance Rating: In addition to timing tasks, workers can be rated on their performance. This allows for differences in skill level and work habits to be taken into account. Workers who consistently perform at a higher level can be given a higher rating, which is then used to set more realistic production standards.

    • Allowances: Time allowances can be added to production standards to account for individual variability. These allowances are based on historical data and are designed to compensate for the time lost due to factors such as fatigue, rest breaks, and personal needs.


  • Benefits of Addressing Individual Variability

  • Accounting for individual variability in time studies has several benefits:


    • Realistic Standards: By considering individual differences in skill level, physical capacity, and work habits, production standards can be set at a more realistic level that is achievable by all workers.

    • Improved Morale: When workers feel that standards are fair and achievable, they are more likely to be motivated and satisfied with their jobs.

    • Increased Productivity: Realistic standards and motivated workers can lead to increased productivity and improved quality.



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