A new operational framework to job shop scheduling for reducing carbon emissions

Qian Yi, Congbo Li, Ying Tang, Qifeng Wang

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

12 Scopus citations

Abstract

This paper proposes an emission-aware multi-machine job shop scheduling (MMJSS) model with the objectives of minimizing carbon emissions and makespan. The optimization problem is subsequently solved through a modified multi-objective genetic algorithm. Finally, the necessity and importance of the proposed model and solution are demonstrated through simulation.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Automation Science and Engineering
Subtitle of host publicationGreen Automation Toward a Sustainable Society, CASE 2012
Pages58-63
Number of pages6
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012 - Seoul, Korea, Republic of
Duration: Aug 20 2012Aug 24 2012

Publication series

NameIEEE International Conference on Automation Science and Engineering
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Other

Other2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012
CountryKorea, Republic of
CitySeoul
Period8/20/128/24/12

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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