In industrial engineering, application, PERT has

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  1. Two time estimate
  2. Four time estimate
  3. Three time estimate
  4. One time estimate

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Option 3 : Three time estimate
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Explanation:

Program Evaluation and Review Technique (PERT)

  • The Program Evaluation and Review Technique (PERT) is a project management tool used to plan, schedule, and manage tasks within a project. It is particularly useful for projects where the time required to complete various activities is uncertain. PERT is a probabilistic tool that helps in identifying the minimum time required to complete a project and the likelihood of meeting deadlines by analyzing the time estimates for each activity.

Key Concept: PERT uses a three-time estimate approach for each activity in the project. This allows project managers to account for uncertainties and variabilities in activity durations.

Three-Time Estimate:

  • Optimistic Time (To): The minimum possible time required to complete an activity, assuming everything proceeds better than expected.
  • Most Likely Time (Tm): The best estimate of the time required to complete the activity, assuming normal conditions.
  • Pessimistic Time (Tp): The maximum possible time required to complete the activity, assuming everything goes wrong.

Formula for Expected Time (Te):

The expected time for an activity is calculated using the following formula:

Te = (To + 4 × Tm + Tp) / 6

This formula provides a weighted average, giving more weight to the most likely time estimate.

Key Features of PERT:

  • Focuses on the uncertainty of project activities by using probabilistic time estimates.
  • Helps in identifying the critical path, which is the sequence of activities that determines the project completion time.
  • Enables project managers to assess the likelihood of completing the project within a specific timeframe.

Applications of PERT:

  • Used in research and development projects, where activity durations are often uncertain.
  • Applicable to large and complex projects with interdependent activities.
  • Helps in risk analysis and contingency planning by evaluating different scenarios.
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