A methodology for joint optimization for maintenance planning, process quality and production scheduling

2011 ◽  
Vol 61 (4) ◽  
pp. 1098-1106 ◽  
Author(s):  
Divya Pandey ◽  
Makarand S. Kulkarni ◽  
Prem Vrat
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.


2009 ◽  
Author(s):  
Rick van der Kleij ◽  
Jameela T. E. Lijkwan ◽  
Peter C. Rasker ◽  
Carsten K. W. De Dreu

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