Study on Preventive Maintenance Index and Measures Decision-Making of Asphalt Pavement of Expressway

2020 ◽  
Vol 09 (02) ◽  
pp. 115-125
Author(s):  
晨 闫
Keyword(s):  
Decision Making ◽  
Preventive Maintenance ◽  
Asphalt Pavement

Adaptability Analysis of Preventive Maintenance Measures for Asphalt Pavement

2012 ◽  
Vol 594-597 ◽  
pp. 1471-1476 ◽  
Author(s):  
Qing Zhou Wang ◽  
Shu Yan Liu ◽  
Jing Li Liu ◽  
Yong Guang Liang
Keyword(s):  
Decision Making ◽  
Preventive Maintenance ◽  
Asphalt Pavement ◽  
Successful Implementation

Choose appropriate preventive maintenance measures is the key link to the pavement preventive maintenance successfully and effectively. According to the characteristics of highway asphalt pavement preventive maintenance technology, it summarizes the applicable and inapplicable occasions and application note of existing preventive maintenance measures, puts forward the preventive maintenance technology characteristics and adaptability, sets up the frame of decision-making for the preventive maintenance measures to provide guarantee for successful implementation of effective preventive maintenance.

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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