TY - GEN
T1 - A new operational framework to job shop scheduling for reducing carbon emissions
AU - Yi, Qian
AU - Li, Congbo
AU - Tang, Ying
AU - Wang, Qifeng
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84872504599&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872504599&partnerID=8YFLogxK
U2 - 10.1109/CoASE.2012.6386372
DO - 10.1109/CoASE.2012.6386372
M3 - Conference contribution
AN - SCOPUS:84872504599
SN - 9781467304283
T3 - IEEE International Conference on Automation Science and Engineering
SP - 58
EP - 63
BT - 2012 IEEE International Conference on Automation Science and Engineering
T2 - 2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012
Y2 - 20 August 2012 through 24 August 2012
ER -