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Mindmap

lineal programation models

brayan Arevalo Spanisch

lineal programation models

Inhalt der Mindmap

lineal programation models

  1. technique used in the management of operations. It aims to optimize resources in business activities.

    • Some requirements are:
      • Maximize or minimize some amount. In an organization profits are maximized and costs are decreased.
      • Has restrictions that limit the production and sale of goods.
      • There are different alternatives for choosing the production of goods.
      • The objective function and restrictions must be expressed in linear equations.
  2. Elements of the models:

    • Decision variables (Xj) define the levels of manufacture and sale.
    • Objective function: Seeks the maximization of income or the minimization of the cost of production.
    • Limited resources: It is the availability of materials or resources that are available for the manufacture of products or services.
  3. Some restrictions can be:

    • Demand restrictions: It is the quantity of products or services that the company must offer, to cover the demand.
    • Supply restrictions: Refers to the minimum quantity of goods that must be sold to cover fixed expenses.
    • Restriction of non-negativity: The quantity of goods manufactured and sold must be greater than or equal to zero.
  4. Graphic solution of the models: Illustration that represents the suitable areas for production.

    • Constraints: These are usually lines with a cutoff point at X and Y that delimit the feasible area.
    • Feasible area: Area delimited by the restrictions, it can vary depending on whether you want to maximize or minimize.
    • Optimal point: It is a point within the feasible area that indicates the most convenient point for production.

Bilder und Dateien der Mindmap

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  • lineal programation models
  • lineal programation models
  • lineal programation models
  • lineal programation models

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Mindmap am lineal programation models, erstellt von brayan Arevalo am 31/08/2021.
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brayan Arevalo
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