Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Factory planning system considering energy-efficient process under cloud manufacturing
 
conference paper

Factory planning system considering energy-efficient process under cloud manufacturing

Um, Jumyung  
•
Choi, Yong-Chan
•
Stroud, Ian
Elmaraghy, H
2014
Variety Management In Manufacturing: Proceedings Of The 47Th Cirp Conference On Manufacturing Systems
47th CIRP Conference on Manufacturing Systems

Cloud computing sets to make a change in business between enterprises over the Internet based on services providing dynamically reconfigurable and virtualized networks. It is difficult for an aircraft manufacturer to consider the performance and status of each factory (i.e., capacity, inventory, order, technology, etc.) because of the huge amount of suppliers. In legacy environments, the supplier consumed a long time to identify the machine and process required and the energy to be consumed in order to satisfy a new customer demand. If the process occurred with a new order should be optimized, additional time and cost were needed. Cloud computing can enable the relationship between the manufacturer and suppliers of aircraft, which is representative of mass customized products, to be flexible and efficient. In order to enhance the response time during contracting with suppliers, this paper focuses on an architecture, providing a service for a decision with the concerns about the time and cost as well as energy with regard to process planning. For realizing this service the manufacturer provides the process plan described using neutral language for numerical controllers called 'STEP-NC' which is independent from a specific machine tool. On the supplier side, the machinability check, tool path generation and energy use estimation should be identified with machine tool specifications described by STEP-NC. In the Cloud computing environment, the analysis is performed to check the possibility that a supplier can complete a new order from the manufacturer on the due date with the analysis of machine tools and on-going production schedule. This function is developed in a system which can be installed on a virtual platform and provided by a cloud service. (C) 2014 Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

  • Details
  • Metrics
Type
conference paper
DOI
10.1016/j.procir.2014.01.084
Web of Science ID

WOS:000345458000094

Author(s)
Um, Jumyung  
Choi, Yong-Chan
Stroud, Ian
Editors
Elmaraghy, H
Date Issued

2014

Publisher

Elsevier Science Bv

Publisher place

Amsterdam

Published in
Variety Management In Manufacturing: Proceedings Of The 47Th Cirp Conference On Manufacturing Systems
Total of pages

6

Series title/Series vol.

Procedia CIRP

Volume

17

Start page

553

End page

558

Subjects

Cloud manufacturing

•

Factory planning

•

Order planning

•

Manufacturing network

•

STEP-NC

•

Energy-efficient process

•

Last minute selection

•

Milling machine

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LICP  
Event nameEvent placeEvent date
47th CIRP Conference on Manufacturing Systems

Windsor, CANADA

APR 28-30, 2014

Available on Infoscience
December 30, 2014
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/109525
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés