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A Conceptual Framework for “Industry 3.5” to Empower Intelligent Manufacturing and Case Studies
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A Conceptual Framework for “Industry 3.5” to Empower Intelligent Manufacturing and Case Studies

Chen-Fu Chien, Tzu-yen HongHong-Zhi Guo
Procedia Manufacturing, 卷.11, 頁碼.2009-2017
2017

摘要

Big Data Flexible Decision Industry 3.5 Manufacturing Intelligence Semiconductor Manufacturing Smart Production Industrial and Manufacturing Engineering Artificial Intelligence
Leading nations have reemphasized manufacturing with national competitive strategies such as Industry 4.0. The paradigm of production and manufacturing system is shifting, in which the increasing adoption of intelligent equipment and robotics, Internet of Things (IOT), and big data analytics have empowered manufacturing intelligence. Leading companies are battling for dominant positions in this newly created arena via providing novel value-proposition solutions and/or employing new technologies to enhance smart production. However, most of emerging countries may not ready for the migration of Industry 4.0. This study aims to propose a conceptual framework of “Industry 3.5” as a hybrid strategy between Industry 3.0 and to-be Industry 4.0, to address some of the needs for flexible decisions and smart production in Industry 4.0. Empirical studies in hightech manufacturing and other industries are used for illustration. Future research directions are discussed to implement the proposed Industry 3.5 to facilitate the migration of Industry 4.0.

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https://doi.org/10.1016/j.promfg.2017.07.352檢視
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