A new method for manufacturing process autonomous planning in intelligent manufacturing system
Authors: Wei, S., Bai, Y., Wang, X., Kai, L., Xu, L., de Vrieze, P. and Kasse, J.P.
Journal: Lecture Notes in Business Information Processing
Volume: 349
Pages: 51-63
eISSN: 1865-1356
ISBN: 9783030209476
ISSN: 1865-1348
DOI: 10.1007/978-3-030-20948-3_5
Abstract:This paper presents a new method for autonomous computer aided process planning (A-CAPP) in intelligent manufacturing system, in which the related input and output of the system are discussed on the basis of comparative analysis of traditional CAPP. The crucial functional components of the A-CAPP system, such as event scheduling management, manufacturing process planning, operation process/step planning, numerical control machining program planning, process simulation and evaluation, are introduced; and the methods of process knowledge management, including process feature knowledge, manufacturing resource knowledge and process method knowledge, are discussed as well. A-CAPP applied for intelligent manufacturing system can effectively support the production line reconstruction dynamically; shorten the time of production line configuration modification in accordance with customers’ requirement change or market requirement fluctuation, and further more to balance the production lines load.
https://eprints.bournemouth.ac.uk/32248/
Source: Scopus
A New Method for Manufacturing Process Autonomous Planning in Intelligent Manufacturing System
Authors: Wei, S., Bai, Y., Wang, X., Kai, L., Xu, L., de Vrieze, P. and Kasse, J.P.
Journal: ADVANCED INFORMATION SYSTEMS ENGINEERING WORKSHOPS (CAISE 2019)
Volume: 349
Pages: 51-63
ISBN: 978-3-030-20947-6
ISSN: 1865-1348
DOI: 10.1007/978-3-030-20948-3_5
https://eprints.bournemouth.ac.uk/32248/
Source: Web of Science (Lite)
A New Method for Manufacturing Process Autonomous Planning in Intelligent Manufacturing System
Authors: Wei, S., Bai, Y., Xiaogang, W., Liu, K., Xu, L., De Vrieze, P. and Kasse, J.P.
Conference: Key Enabling Technologies for Digital Factories In conjunction with CAiSE 2019
Dates: 4 June 2019
Abstract:This paper presents a new method for autonomous computer-aided process planning (A-CAPP) in an intelligent manufacturing system, in which the related input and output of the system are discussed on the basis of comparative analysis of traditional CAPP. The crucial functional components of the A-CAPP system, such as event scheduling management, manufacturing process planning, operation process/step planning, numerical control machining program planning, process simulation and evaluation, are introduced; and the methods of process knowledge management, including process feature knowledge, manufacturing resource knowledge and process method knowledge, are discussed as well. A-CAPP applied for intelligent manufacturing system can effectively support the production line reconstruction dynamically; shorten the time of production line configuration modification in accordance with customers’ requirement change or market requirement fluctuation, and furthermore to balance the production lines load.
https://eprints.bournemouth.ac.uk/32248/
Source: Manual
A New Method for Manufacturing Process Autonomous Planning in Intelligent Manufacturing System
Authors: Wei, S., Bai, Y., Xiaogang, W., Liu, K., Xu, L., de Vrieze, P.T. and Kasse, J.P.
Conference: Key Enabling Technologies for Digital Factories In conjunction with CAiSE 2019
Abstract:This paper presents a new method for autonomous computer-aided process planning (A-CAPP) in an intelligent manufacturing system, in which the related input and output of the system are discussed on the basis of comparative analysis of traditional CAPP. The crucial functional components of the A-CAPP system, such as event scheduling management, manufacturing process planning, operation process/step planning, numerical control machining program planning, process simulation and evaluation, are introduced; and the methods of process knowledge management, including process feature knowledge, manufacturing resource knowledge and process method knowledge, are discussed as well. A-CAPP applied for intelligent manufacturing system can effectively support the production line reconstruction dynamically; shorten the time of production line configuration modification in accordance with customers’ requirement change or market requirement fluctuation, and furthermore to balance the production lines load.
https://eprints.bournemouth.ac.uk/32248/
Source: BURO EPrints