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The Practice Path of High Quality Intelligent Manufacturing in Taiwan

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ICMSS 2020: Proceedings of the 2020 4th International Conference on Management Engineering, Software Engineering and Service Sciences

Pages 277 - 281

https://doi.org/10.1145/3380625.3380654

Published: 19 May 2020 Publication History

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Abstract

In recent years, the development of global manufacturing industry has slowed down, among which the key factors are the shortage of labor, the customization of demand, and the rise of a small number of diversity. These factors make the manufacturing industry fall into the dilemma of high cost and low operation efficiency. At this time, Germany timely put forward the policy of Industry 4.0, hoping to improve the manufacturing power by the way integrating virtual and real, application of big data, and decision-making substitution. This paper provides several cases from semiconductor and hand tool industry in Taiwan to illustrate the breakthrough of modern industrial engineering (IE) in the introduction of intelligent manufacturing. This paper can provide some inspiration for enterprises that are transforming towards Industry 4.0.

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Cited By

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Humphries JRyan AVan de Ven P(2024)Reducing Error in Manufacturing in Industry 4.0: A Systematic Literature ReviewDriving Quality Management and Sustainability in VUCA Environments10.1007/978-3-031-52723-4_14(169-184)Online publication date: 28-May-2024
https://doi.org/10.1007/978-3-031-52723-4_14

Index Terms

The Practice Path of High Quality Intelligent Manufacturing in Taiwan
1. General and reference
  1. Cross-computing tools and techniques
    1. Empirical studies

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Published In

ICMSS 2020: Proceedings of the 2020 4th International Conference on Management Engineering, Software Engineering and Service Sciences

January 2020

301 pages

ISBN:9781450376419

DOI:10.1145/3380625

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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China University of Geosciences

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 May 2020

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ICMSS 2020

ICMSS 2020: 2020 4th International Conference on Management Engineering, Software Engineering and Service Sciences

January 17 - 19, 2020

Wuhan, China

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Humphries JRyan AVan de Ven P(2024)Reducing Error in Manufacturing in Industry 4.0: A Systematic Literature ReviewDriving Quality Management and Sustainability in VUCA Environments10.1007/978-3-031-52723-4_14(169-184)Online publication date: 28-May-2024
https://doi.org/10.1007/978-3-031-52723-4_14

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Modeling and simulation in intelligent manufacturing

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