In which part of Business Economics the study of Linear programming is being included?

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MPPSC Assistant Prof 2022 Commerce Paper II
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  1. Demand and Supply
  2. Production and Cost
  3. Allocation of Resources
  4. Capital Budgeting

Answer (Detailed Solution Below)

Option 3 : Allocation of Resources
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The correct answer is - Allocation of Resources

Key Points

  • Linear Programming
    • Linear programming is a mathematical method used to determine the best possible outcome or solution from a given set of parameters or list of requirements.
    • It is primarily used in resource allocation problems, where the goal is to maximize or minimize some objective function.
    • Common applications include optimizing production schedules, transportation logistics, and financial planning.
  • Allocation of Resources
    • This is a crucial part of business economics that involves distributing available resources in the most efficient way.
    • Linear programming helps in making decisions on how to allocate resources effectively to achieve the best possible outcomes.

Additional Information

  • Other Applications of Linear Programming
    • Demand and Supply
      • While linear programming is not typically used directly to study demand and supply, it can help in optimizing production to meet demand efficiently.
    • Production and Cost
      • Linear programming can assist in minimizing production costs by optimizing the use of inputs and resources.
    • Capital Budgeting
      • In capital budgeting, linear programming can be used to select the best combination of projects that maximizes return on investment while staying within budget constraints.
  • Key Concepts in Linear Programming
    • Objective Function
      • A mathematical expression that defines the goal of the optimization, such as maximizing profit or minimizing cost.
    • Constraints
      • Restrictions or limitations on the decision variables, such as resource availability or budget limits.
    • Feasible Region
      • The set of all possible solutions that satisfy the constraints.
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