Energy Efficient Process Planning for Resource-Constrained Machining Systems

Lingling Li, Li Li, Congbo Li, Ying Tang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Traditionally process planning is concerned with reducing energy consumption at a machining process level and is done on the assumption that the manufacturing resources at the shop floor are sufficient and available all the time. This paper presents an energy-efficient process planning approach for resource-constrained machining systems. The interactive effects of process routes and cutting parameters on energy consumption at machining process level and at shop floor level are explicitly analyzed. A multi-objective optimization model of process planning is presented to take minimum energy consumption and minimum makespan as objectives, which is solved by a HBMOA algorithm. The energy saving performance of the proposed process planning approach is demonstrated through case studies.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1392-1397
Number of pages6
ISBN (Electronic)9781538666500
DOIs
StatePublished - Jan 16 2019
Event2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
Duration: Oct 7 2018Oct 10 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
CountryJapan
CityMiyazaki
Period10/7/1810/10/18

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management
  • Health Informatics
  • Artificial Intelligence
  • Computer Networks and Communications
  • Human-Computer Interaction

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