PMID- 37076558
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20230420
LR  - 20230422
IS  - 2045-2322 (Electronic)
IS  - 2045-2322 (Linking)
VI  - 13
IP  - 1
DP  - 2023 Apr 19
TI  - Minimizing the makespan and carbon emissions in the green flexible job shop 
      scheduling problem with learning effects.
PG  - 6369
LID - 10.1038/s41598-023-33615-z [doi]
LID - 6369
AB  - One of the most difficult challenges for modern manufacturing is reducing carbon 
      emissions. This paper focuses on the green scheduling problem in a flexible job 
      shop system, taking into account energy consumption and worker learning effects. 
      With the objective of simultaneously minimizing the makespan and total carbon 
      emissions, the green flexible job shop scheduling problem (GFJSP) is formulated 
      as a mixed integer linear multiobjective optimization model. Then, the improved 
      multiobjective sparrow search algorithm (IMOSSA) is developed to find the optimal 
      solution. Finally, we conduct computational experiments, including a comparison 
      between IMOSSA and the nondominated sorting genetic algorithm II (NSGA-II), Jaya 
      and the mixed integer linear programming (MILP) solver of CPLEX. The results 
      demonstrate that IMOSSA has high precision, good convergence and excellent 
      performance in solving the GFJSP in low-carbon manufacturing systems.
CI  - (c) 2023. The Author(s).
FAU - Li, Zhi
AU  - Li Z
AUID- ORCID: 0000-0002-4869-6778
AD  - School of Economics and Management, Tiangong University, Tianjin, 300387, China. 
      lizhi@tiangong.edu.cn.
FAU - Chen, Yingjian
AU  - Chen Y
AUID- ORCID: 0000-0001-7502-4128
AD  - School of Economics and Management, Tiangong University, Tianjin, 300387, China.
LA  - eng
GR  - 72002153/National Nature Science Foundation of China NSFC/
GR  - 41971249/National Nature Science Foundation of China NSFC/
PT  - Journal Article
DEP - 20230419
PL  - England
TA  - Sci Rep
JT  - Scientific reports
JID - 101563288
SB  - IM
PMC - PMC10115896
COIS- The authors declare no competing interests.
EDAT- 2023/04/20 00:41
MHDA- 2023/04/20 00:42
PMCR- 2023/04/19
CRDT- 2023/04/19 23:19
PHST- 2022/09/29 00:00 [received]
PHST- 2023/04/15 00:00 [accepted]
PHST- 2023/04/20 00:42 [medline]
PHST- 2023/04/20 00:41 [pubmed]
PHST- 2023/04/19 23:19 [entrez]
PHST- 2023/04/19 00:00 [pmc-release]
AID - 10.1038/s41598-023-33615-z [pii]
AID - 33615 [pii]
AID - 10.1038/s41598-023-33615-z [doi]
PST - epublish
SO  - Sci Rep. 2023 Apr 19;13(1):6369. doi: 10.1038/s41598-023-33615-z.