Predicting the Food Self-sufficiency Ratio using T-methods

Abstract

The T-method is a technique developed by Genichi Taguchi to calculate an overall prediction based on the signal-to-noise ratio without the use of Gram-Schmidt orthogonalization. the Taguchi System of Quality Engineering (TSQE), also known as Robust Design (RD) principles, is used for optimization through planning, conducting, and evaluating the results of matrix experiments to determine the best levels of control factors. the primary goal of Robust Design is to minimize variance in the presence of noise factors to achieve a process inherently insensitive to variation. the T-Method is founded upon the fundamentals of TSQE. It begins by establishing a model based on a unit space. It also uses a signal space to validate the model and then the model is applied to unknown data to forecast the response variable. the Mahalanobis-Taguchi System (MTS) is another forecasting and diagnosis technique based on the fundamentals of TSQE that has generated significant interest in the last decade. a side by side comparison of T-Method with the Mahalanobis- Taguchi System is provided. This paper outlines the Tmethod steps using a forecasting case study of the food self-sufficiency ratio with a univariate response to illustrate the technique. Copyright © (2008) by the American Society for Engineering Management.

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

Prediction; Self-sufficiency ratio; T-method

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 American Society for Engineering Management, All rights reserved.

Publication Date

01 Dec 2008

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