Research Methods2D

Design of Experiments and Optimization - Theory & Concepts - Taguchi Loss

Advanced experimental design techniques, including factorial design, ANOVA, Taguchi methods, and specific Response Surface Methodology (RSM) designs like CCD and BBD.

Open the complete lesson

Taguchi Loss Function Simulator

Adjust the actual measured thickness of the bridge bearing. Notice how the loss increases quadratically as you deviate further from the ideal target value of $20\text{ mm}$ .

Measured Thickness (

y

) [mm]: 20.20

19.0 mmTarget: 20.0 mm21.0 mm

Calculation Parameters

Target Value ( $T$ ): 20.0 mm
Loss Coefficient ( $k$ ): $2000/mm²
Deviation ( $|y - T|$ ): 0.20 mm

Mathematical Model

L(y) = 2000(20.20 - 20)^2

Calculated Hidden Loss

$80.00

Cost incurred due to variation from the ideal target.

Introduction to Research Methods - Theory & Concepts - Research Process Formulating the Research Problem - Theory & Concepts - Research Gap Literature Review - Theory & Concepts - Literature Screening Research Design and Methodology - Theory & Concepts - Sampling Methods

Taguchi Loss Function Simulator

Calculation Parameters

Mathematical Model

Calculated Hidden Loss

Related simulations