Advances in Production Management Systems. Towards Smart Production Management Systems: Ifip Wg 5.7 International Conference, Apms 2019, Austin, Tx, U

Autor: 
Limba: 
english
Tip copertă: 
Greu
Număr de pagini: 
645
The two-volume set IFIP AICT 566 and 567 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2019, held in Austin, TX, U ...Descriere completă
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ISBN9783030299958
AutorAmeri Farhad
EdituraSpringer Nature
Limbaenglish
Tip copertăPevná vazba
Anul publicării2019
Număr de pagini645

Descrierea cărții

The two-volume set IFIP AICT 566 and 567 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2019, held in Austin, TX, USA.

The 161 revised full papers presented were carefully reviewed and selected from 184 submissions. They discuss globally pressing issues in smart manufacturing, operations management, supply chain management, and Industry 4.0. The papers are organized in the following topical sections: lean production
production management in food supply chains
sustainability and reconfigurability of manufacturing systems
product and asset life cycle management in smart factories of industry 4.0
variety and complexity management in the era of industry 4.0
participatory methods for supporting the career choices in industrial engineering and management education
blockchain in supply chain management
designing and delivering smart services in the digital age
operations management in engineer-to-order manufacturing
the operator 4.0 and the Internet of Things, services and people
intelligent diagnostics and maintenance solutions for smart manufacturing
smart supply networks
production management theory and methodology
data-driven production management
industry 4.0 implementations
smart factory and IIOT
cyber-physical systems
knowledge management in design and manufacturing
collaborative product development
ICT for collaborative manufacturing
collaborative technoloy
applications of machine learning in production management
and collaborative technology.


 

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