Preventive maintenance optimization for a multi-component system under changing job shop schedule

2012 ◽  
Vol 101 ◽  
pp. 14-20 ◽  
Author(s):  
Xiaojun Zhou ◽  
Zhiqiang Lu ◽  
Lifeng Xi
Keyword(s):  
Preventive Maintenance ◽  
Job Shop ◽  
Maintenance Optimization ◽  
Component System ◽  
Multi Component System

Opportunistic perfect preventive maintenance policy in presence of masked data

2021 ◽  
pp. 1748006X2110589
Author(s):  
Hasan Misaii ◽  
Firoozeh Haghighi ◽  
Mitra Fouladirad
Keyword(s):  
Preventive Maintenance ◽  
Optimization Problem ◽  
Maintenance Optimization ◽  
Maintenance Policy ◽  
Cost Rate ◽  
Inspection Interval ◽  
Long Run ◽  
Cause Of Failure ◽  
Preventive Maintenance Policy ◽  
Multi Component System

In this paper, the maintenance optimization problem of multi-component system is considered. It is assumed that the exact cause of system failure might be masked. That is, the exact cause of failure is unknown, and we only know that it belongs to a set called mask set. Both opportunistic perfect preventive maintenance (OPPM) and perfect corrective maintenance are considered. Threshold of OPPM and inter-inspection interval are considered as decision parameters which are optimized using long-run cost rate criteria. The applicability of the proposed maintenance policy is investigated using an illustrative example.

scholarly journals Multiobjective Joint Optimization of Production Scheduling and Maintenance Planning in the Flexible Job-Shop Problem

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jianfei Ye ◽  
Huimin Ma
Keyword(s):  
Decision Making ◽  
Optimization Model ◽  
Preventive Maintenance ◽  
Production Scheduling ◽  
Job Shop ◽  
Joint Optimization ◽  
Planning Problem ◽  
Flexible Job Shop ◽  
Maintenance Planning ◽  
Joint Decision

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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