Keynote Speaker
簡禎富 (Chen-Fu Chien) 清華講座教授/國立清華大學
簡禎富 (Chen-Fu Chien) 清華講座教授/國立清華大學
Topic
"Industry 3.5" to Empower Smart Production Facilities
「工業3.5」以提升廠房設施智慧化
Abstract
Global Manufacturing networks are facing disruptive challenges due to new technologies and solutions such as Big Data, Internet of Things, Cloud, and artificial intelligence. Leading nations including Germany and USA have reemphasized the importance of manufacturing in the corresponding national competitive strategies such as Industry 4.0 and AMP. The paradigm of production and manufacturing system is shifting, in which the increasing adoption of new technologies have empowered an unprecedented level of manufacturing intelligence with profound effects on the controls, management, resource allocation and decisions involved in smart production. Indeed, various companies are battling for dominant positions in this newly created arena via providing novel value-proposition solutions and/or employing new technologies for smart production. On the other hand, most of industry structures in emerging countries including Taiwan may not ready for the migration of Industry 4.0. This study aims to propose a disruptive innovation strategy called Industry 3.5 as a hybrid strategy between the best practice of existing manufacturing for Industry 3.0 and to-be Industry 4.0. A conceptual framework of Industry 3.5 is proposed, while a number of empirical studies in different companies are used to illustrate how manufacturing intelligence can be extracted from big data and domain knowledge to empower flexible decisions for smart production that is one of fundamental objectives for Industry 4.0. In particular, big data analytics and resources optimization can be employed for intelligent manufacturing under existing Industry 3.0 to address some of the needs for flexible decisions and smart production in Industry 4.0. Furthermore, we also share some of related empirical studies for smart production facilities.
"Industry 3.5" to Empower Smart Production Facilities
「工業3.5」以提升廠房設施智慧化
Abstract
Global Manufacturing networks are facing disruptive challenges due to new technologies and solutions such as Big Data, Internet of Things, Cloud, and artificial intelligence. Leading nations including Germany and USA have reemphasized the importance of manufacturing in the corresponding national competitive strategies such as Industry 4.0 and AMP. The paradigm of production and manufacturing system is shifting, in which the increasing adoption of new technologies have empowered an unprecedented level of manufacturing intelligence with profound effects on the controls, management, resource allocation and decisions involved in smart production. Indeed, various companies are battling for dominant positions in this newly created arena via providing novel value-proposition solutions and/or employing new technologies for smart production. On the other hand, most of industry structures in emerging countries including Taiwan may not ready for the migration of Industry 4.0. This study aims to propose a disruptive innovation strategy called Industry 3.5 as a hybrid strategy between the best practice of existing manufacturing for Industry 3.0 and to-be Industry 4.0. A conceptual framework of Industry 3.5 is proposed, while a number of empirical studies in different companies are used to illustrate how manufacturing intelligence can be extracted from big data and domain knowledge to empower flexible decisions for smart production that is one of fundamental objectives for Industry 4.0. In particular, big data analytics and resources optimization can be employed for intelligent manufacturing under existing Industry 3.0 to address some of the needs for flexible decisions and smart production in Industry 4.0. Furthermore, we also share some of related empirical studies for smart production facilities.