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.

http://eprints.bournemouth.ac.uk/32248/

Start date: 4 June 2019

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.

This data was imported from Scopus:

Authors: Wei, S., Bai, Y., Wang, X., Kai, L., Xu, L., de Vrieze, P. and Kasse, J.P.

http://eprints.bournemouth.ac.uk/32248/

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

© Springer Nature Switzerland AG 2019. 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.

This data was imported from Web of Science (Lite):

Authors: Wei, S., Bai, Y., Wang, X., Kai, L., Xu, L., de Vrieze, P. and Kasse, J.P.

http://eprints.bournemouth.ac.uk/32248/

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

The data on this page was last updated at 05:10 on February 17, 2020.