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The production possibilities frontier (PPF) for guns versus butter. Points like X that are outside the PPF are impossible to achieve. Points such as B, C, and D illustrate the trade-off between guns and butter: at these levels of production, producing more of one requires producing less of the other. Points located along the PPF curve represent ...
The production-possibility frontier can be constructed from the contract curve in an Edgeworth production box diagram of factor intensity. [12] The example used above (which demonstrates increasing opportunity costs, with a curve concave to the origin) is the most common form of PPF. [13]
In multi-objective optimization, the Pareto front (also called Pareto frontier or Pareto curve) is the set of all Pareto efficient solutions. [1] The concept is widely used in engineering . [ 2 ] : 111–148 It allows the designer to restrict attention to the set of efficient choices, and to make tradeoffs within this set, rather than ...
Figure 6: Production possibilities set in the Robinson Crusoe economy with two commodities. The boundary of the production possibilities set is known as the production-possibility frontier (PPF). [9] This curve measures the feasible outputs that Crusoe can produce, with a fixed technological constraint and given amount of resources.
A diagram showing the production possibilities frontier (PPF) curve for "manufacturing" and "agriculture". Point "A" lies below the curve, denoting underutilized production capacity. Points "B", "C", and "D" lie on the curve, denoting efficient utilization of production.
Wire-grid Cobb–Douglas production surface with isoquants A two-input Cobb–Douglas production function with isoquants. In economics and econometrics, the Cobb–Douglas production function is a particular functional form of the production function, widely used to represent the technological relationship between the amounts of two or more inputs (particularly physical capital and labor) and ...
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.
An example is shown in Fig. 6, where the purple line is the Pareto set corresponding to the indifference curves for the two consumers. The vocabulary used to describe different objects which are part of the Edgeworth box diverges.