TY - JOUR
T1 - Advances in green shop scheduling and optimization
AU - Wang, Ling
AU - Wang, Jing Jing
AU - Wu, Chu Ge
N1 - Publisher Copyright:
© 2018, Editorial Office of Control and Decision. All right reserved.
PY - 2018/3/1
Y1 - 2018/3/1
N2 - Nowadays, the environmental issue gets increasingly serious, and the research of green manufacturing attracts much attention. As a modern manufacturing model, green manufacturing aims to guarantee the quality and function of products, reduce the manufacturing cost, raise the manufacturing profit, and at the same time to decrease environmental polution and energy waste, so as to achieve the simultaneous optimization of economic and green indexes. Green shop scheduling is an important element in green manufacturing with academic significance and engineering value, which is more difficult to be solved than the classic shop scheduling problems. Via the reasonable optimization of resource allocation, operation sequence and exection pattern, profit rising, energy saving, discharge decreasing and consumption reducing can be achieved. The complexities of the green shop scheduling problems and the related handling schemes are analyzed, and the typical advances in terms of problem, method and application are reviewed, and some further research directions and contents in each aspect are pointed out to promote the research and development of the intelligent manufacturing and green manufacturing.
AB - Nowadays, the environmental issue gets increasingly serious, and the research of green manufacturing attracts much attention. As a modern manufacturing model, green manufacturing aims to guarantee the quality and function of products, reduce the manufacturing cost, raise the manufacturing profit, and at the same time to decrease environmental polution and energy waste, so as to achieve the simultaneous optimization of economic and green indexes. Green shop scheduling is an important element in green manufacturing with academic significance and engineering value, which is more difficult to be solved than the classic shop scheduling problems. Via the reasonable optimization of resource allocation, operation sequence and exection pattern, profit rising, energy saving, discharge decreasing and consumption reducing can be achieved. The complexities of the green shop scheduling problems and the related handling schemes are analyzed, and the typical advances in terms of problem, method and application are reviewed, and some further research directions and contents in each aspect are pointed out to promote the research and development of the intelligent manufacturing and green manufacturing.
KW - Energy saving
KW - Green shop scheduling
KW - Low-carbon
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85048926883&partnerID=8YFLogxK
U2 - 10.13195/j.kzyjc.2017.0215
DO - 10.13195/j.kzyjc.2017.0215
M3 - Review article
AN - SCOPUS:85048926883
SN - 1001-0920
VL - 33
SP - 385
EP - 391
JO - Kongzhi yu Juece/Control and Decision
JF - Kongzhi yu Juece/Control and Decision
IS - 3
ER -