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Probability Distributions
Probability Distribution – Binomial, Poisson, Normal, and Exponential
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Facility Location and Layout
Site Selection and Analysis, Layout Design and Process
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Quality Management
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Unit VIII: Business Statistics and Operations Management

Time Study is a work measurement technique used to determine the time required to complete a task by a qualified worker working at a normal pace under standard conditions.

It’s commonly used in operations management, industrial engineering, and productivity analysis to improve efficiency and set performance standards.


📌 Why is Time Study Important?

  1. Improves Efficiency: Helps identify unnecessary steps and streamline processes.

  2. Sets Standards: Establishes standard time for tasks, which helps in planning and scheduling.

  3. Supports Costing: Accurate time data helps in labor cost estimation.

  4. Employee Evaluation: Forms the basis for incentive schemes and performance evaluation.


🧰 How is Time Study Done? (Step-by-Step)

  1. Select the Task: Choose a repetitive and well-defined task for observation.

  2. Break the Task into Elements: Divide the task into small, measurable steps.

  3. Observe and Record Time: Use a stopwatch or software to record the time taken for each element (over several cycles).

  4. Rate the Performance: Assess the worker’s speed compared to a normal pace (called performance rating).

  5. Calculate Normal Time:

    Normal Time=Observed Time×Performance Ratingtext{Normal Time} = text{Observed Time} times text{Performance Rating}

  6. Add Allowances: Add extra time for fatigue, personal needs, and unavoidable delays.

  7. Calculate Standard Time:

    Standard Time=Normal Time+Allowancestext{Standard Time} = text{Normal Time} + text{Allowances}


🧠 Example:

Let’s say a worker takes 2 minutes on average to complete a task, and you rate their performance at 110%. Allowance is 10%.

  • Normal Time = 2 × 1.10 = 2.2 minutes

  • Standard Time = 2.2 + 10% of 2.2 = 2.42 minutes


✅ Applications in Business

  • Manufacturing: To balance assembly lines.

  • Service Sector: To improve service delivery times.

  • BPM & BPR: In Business Process Management and Reengineering.