Final answer:
Optimization is the quantitative technique used to find the best solution that adheres to given constraints and satisfies established criteria. It involves a structured decision process and mathematical modeling to compare costs and efficiencies of different designs to select the most appropriate one for implementation.
Step-by-step explanation:
The quantitative technique that is used to produce an optimum solution within the bounds imposed by constraints upon the decision is known as optimization. In the context of engineering and design, this often involves the use of mathematical models to evaluate and select the most suitable design based on various criteria and constraints. These models can help determine costs for different systems to establish a reasonable set of requirements for problem-solving. During the design process, establishing clear criteria and constraints is crucial. Constraints limit or condition that must be satisfied by the design, while criteria are measurable standards or attributes of a design. The process entails evaluating potential designs against these constraints and criteria to select the best concept that will then be prototyped and potentially implemented. Moreover, the technique includes steps like identifying the problem, developing designs, evaluating them, choosing the most feasible one, and mathematically estimating costs. The mathematical estimation can relate to various stages of design, like fabrication, operation, and maintenance, all factors in reaching the best solution, also known as allocative efficiency