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This course is designed for those who want to understand how value is created and how productivity can be measured and managed in business and production processes.

The course is suitable for business professionals, beginning professionals, students, and business owners who want to not only have a theoretical understanding, but also learn to calculate and analyze productivity indicators at a practical level.


What problem does the course solve

Evaluating profitability and efficiency often becomes difficult when there are no clear calculations and measurable indicators. This course helps to build the logic of calculating value and productivity and apply it to real data.


This course helps to understand:

how production constraints affect profitability,

how to calculate cost and total productivity,

how to apply basic productivity formulas,

and how to use data to improve efficiency.


Main topics of the course

Production constraints and profitability

Production capabilities, the impact of constraints on results


Cost and productivity calculation

Inputs and outputs, total productivity measurements


Basic productivity formulas

Labor productivity, machine productivity, total factor productivity


Data collection and analysis

Gaining insights into productivity and identifying areas for improvement through benchmarking


Real-time productivity monitoring

Indicator control and operational response


As a result, participants will be able to

Calculate production costs and key productivity indicators,

Assess profitability based on measurable data,

Analyze factors affecting productivity,

Use data for decision-making and improvement.


This course is part of the Weekend School of Business program and contributes to the development of numerical thinking and performance management skills.


The goal of the course is to help participants actually use their knowledge of cost and productivity calculations in a business and work environment.

Cost calculation, Productivity calculation.

AMD 104,000.00Price
  • Trainer(s)

    Nane Matevosyan

  • Duration:

    April

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