Paper Key : IRJ************827
Author: Ferdinan Rinaldo Tampubolon ,Rischa Devita,Sinta Marito Siagian,Samaria Chrisna Hs ,Switamy Angnitha Purba ,Anna Angela Sitinjak
Date Published: 24 Oct 2023
Abstract
Carbon emissions have become a popular topic of research recently due to the increase on the earth's surface temperature. One of the major contributors to carbon emissions is industry. Therefore, one of the most effective ways to reduce carbon emissions is by making the efficient utilization of the machine. This can be done by forming an optimal machine scheduling. This research will use two objective functions in Flexible Job Shop (FJSP) scheduling, namely makespan and carbon emissions. This research will also use grey numbers to accommodate the uncertainty in the processing time of the job. To solve this FJSP case, the NSGA-II algorithm is used. The algorithm is an extension of Genetic Algorithm and often used for multiobjective cases. This research has a goal to obtain optimal scheduling both in terms of company operations and environment.
DOI LINK : 10.56726/IRJMETS45535 https://www.doi.org/10.56726/IRJMETS45535