A computer-simulation-oriented design procedure for a robust and feasible job shop manufacturing system

Liang Hsuan Chen; Yiau Hweui Chen

doi:10.1016/0278-6125(95)98896-E

A computer-simulation-oriented design procedure for a robust and feasible job shop manufacturing system

Liang Hsuan Chen
, Yiau Hweui Chen

Department of Industrial and Information Management

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

This paper presents a computer-simulation-oriented design procedure for a robust and feasible job shop manufacturing system based on the Taguchi approach and response surface methodology. The procedure includes optimal region investigation, optimal settings determination, and an adjustment procedure. The steepest descent technique finds the optimal region based on a weighted aggregated design measure. Then optimal settings are resolved and examined in an adjustment procedure to improve robustness. The proposed approach finally determines optimal settings so that the designed system is robust in production and economically feasible. A computer simulation example shows the applicability of the proposed approach.

Original language	English
Pages (from-to)	1-10
Number of pages	10
Journal	Journal of Manufacturing Systems
Volume	14
Issue number	1
DOIs	https://doi.org/10.1016/0278-6125(95)98896-E
Publication status	Published - 1995

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

All Science Journal Classification (ASJC) codes

Software
Control and Systems Engineering
Hardware and Architecture
Industrial and Manufacturing Engineering

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10.1016/0278-6125(95)98896-E

Cite this

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title = "A computer-simulation-oriented design procedure for a robust and feasible job shop manufacturing system",

abstract = "This paper presents a computer-simulation-oriented design procedure for a robust and feasible job shop manufacturing system based on the Taguchi approach and response surface methodology. The procedure includes optimal region investigation, optimal settings determination, and an adjustment procedure. The steepest descent technique finds the optimal region based on a weighted aggregated design measure. Then optimal settings are resolved and examined in an adjustment procedure to improve robustness. The proposed approach finally determines optimal settings so that the designed system is robust in production and economically feasible. A computer simulation example shows the applicability of the proposed approach.",

author = "Chen, \{Liang Hsuan\} and Chen, \{Yiau Hweui\}",

note = "Funding Information: Acknowledgment This research was supported by the National Science Council, Republic of China, under contract NSC83-0301-H-006-007.",

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AU - Chen, Liang Hsuan

AU - Chen, Yiau Hweui

N1 - Funding Information: Acknowledgment This research was supported by the National Science Council, Republic of China, under contract NSC83-0301-H-006-007.

PY - 1995

Y1 - 1995

N2 - This paper presents a computer-simulation-oriented design procedure for a robust and feasible job shop manufacturing system based on the Taguchi approach and response surface methodology. The procedure includes optimal region investigation, optimal settings determination, and an adjustment procedure. The steepest descent technique finds the optimal region based on a weighted aggregated design measure. Then optimal settings are resolved and examined in an adjustment procedure to improve robustness. The proposed approach finally determines optimal settings so that the designed system is robust in production and economically feasible. A computer simulation example shows the applicability of the proposed approach.

AB - This paper presents a computer-simulation-oriented design procedure for a robust and feasible job shop manufacturing system based on the Taguchi approach and response surface methodology. The procedure includes optimal region investigation, optimal settings determination, and an adjustment procedure. The steepest descent technique finds the optimal region based on a weighted aggregated design measure. Then optimal settings are resolved and examined in an adjustment procedure to improve robustness. The proposed approach finally determines optimal settings so that the designed system is robust in production and economically feasible. A computer simulation example shows the applicability of the proposed approach.

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IS - 1

ER -

A computer-simulation-oriented design procedure for a robust and feasible job shop manufacturing system

Abstract

UN SDGs

All Science Journal Classification (ASJC) codes

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