Energy-efficient production scheduling through machine on/off control during preventive maintenance

2021 ◽  
Vol 104 ◽  
pp. 104359
Author(s):  
Guiliang Gong ◽  
Raymond Chiong ◽  
Qianwang Deng ◽  
Wenwu Han ◽  
Like Zhang ◽  
...  
2017 ◽  
Vol 168 ◽  
pp. 239-253 ◽  
Author(s):  
Xu Gong ◽  
Marlies Van der Wee ◽  
Toon De Pessemier ◽  
Sofie Verbrugge ◽  
Didier Colle ◽  
...  

2017 ◽  
Vol 56 (15) ◽  
pp. 4399-4414 ◽  
Author(s):  
Shamik Misra ◽  
Mangesh Kapadi ◽  
Ravindra D. Gudi ◽  
R. Srihari

2014 ◽  
Vol 47 (11) ◽  
pp. 1481-1496 ◽  
Author(s):  
C.A. Garcia-Santiago ◽  
J. Del Ser ◽  
C. Upton ◽  
F. Quilligan ◽  
S. Gil-Lopez ◽  
...  

2020 ◽  
Vol 53 (2) ◽  
pp. 12584-12589
Author(s):  
João Soares ◽  
Bruno Canizes ◽  
Pedro Faria ◽  
Zita Vale ◽  
Carlos Ramos

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jianfei Ye ◽  
Huimin Ma

In order to solve the joint optimization of production scheduling and maintenance planning problem in the flexible job-shop, a multiobjective joint optimization model considering the maximum completion time and maintenance costs per unit time is established based on the concept of flexible job-shop and preventive maintenance. A weighted sum method is adopted to eliminate the index dimension. In addition, a double-coded genetic algorithm is designed according to the problem characteristics. The best result under the circumstances of joint decision-making is obtained through multiple simulation experiments, which proves the validity of the algorithm. We can prove the superiority of joint optimization model by comparing the result of joint decision-making project with the result of independent decision-making project under fixed preventive maintenance period. This study will enrich and expand the theoretical framework and analytical methods of this problem; it provides a scientific decision analysis method for enterprise to make production plan and maintenance plan.


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