Study on Method and Decision Making Model for Preventive Maintenance Planning of Asphalt Pavement

CICTP 2019 ◽  
2019 ◽  
Author(s):  
Jie Zhu ◽  
Li Bian ◽  
Tingting Ding
Keyword(s):  
Decision Making ◽  
Preventive Maintenance ◽  
Asphalt Pavement ◽  
Maintenance Planning ◽  
Decision Making Model

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.

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 A hybrid multi-criteria decision making model for the vehicle service center selection with the aim to increase the vehicle fleet energy efficiency

2018 ◽  
Vol 22 (3) ◽  
pp. 1549-1561 ◽  
Author(s):  
Davor Vujanovic ◽  
Vladimir Momcilovic ◽  
Milos Vasic
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Analytic Network Process ◽  
Multi Criteria Decision Making ◽  
Maintenance Planning ◽  
Proposed Model ◽  
Network Process ◽  
Maintenance Work ◽  
The Right ◽  
Decision Making Model

In this paper is researched how to achieve an effective fleet maintenance planning in transport companies, which contributes in increasing the fleet energy efficiency and in achieving the companies? goal. Within the fleet maintenance planning, managers have to make the right decisions on the selection of vehicle service centers in the region where the maintenance work will be realized. The mentioned decision is affected by a number of different interdependent factors (criteria). Based on a survey, relevant factors (criteria) were defined. As defined factors are interdependent and differently influence the mentioned decision, an approach of decision making trial and evaluation laboratory (DEMATEL)-based analytic network process called DANP was applied. In this respect, authors propose a hybrid multi-criteria decision making model. The proposed model was applied in the companies to demonstrate how effective their managers are in the maintenance planning and how this effectiveness influences the fleet energy efficiency and fulfilment of companies? goal.

Joint decision-making model of preventive maintenance and delayed monitoring SPC based on imperialist competitive algorithm

2021 ◽  
pp. 1-14
Author(s):  
Yan Zhang ◽  
Shiyu Li ◽  
Yang Deng ◽  
Honggen Chen ◽  
Xin Yan ◽  
...  
Keyword(s):  
Decision Making ◽  
Preventive Maintenance ◽  
Early Period ◽  
Imperialist Competitive Algorithm ◽  
Sampling Interval ◽  
Model Parameters ◽  
Statistical Process ◽  
Joint Decision ◽  
Decision Making Model ◽  
And Control

This paper develops a joint decision-making model approach to preventive maintenance and SPC (statistical process control) with delayed monitoring considered. The proposal of delayed monitoring policy postpones the sampling process till a scheduled time and contributes to six renewal scenarios of the production process, where maintenance actions are triggered by scheduled duration of prenentive maintenance or the alert of X ¯ chart for monitoring the shift of process mean resulted by deterioration of equipment. By analyzing the evolution of the system in different scenarios, a mathematical model is given to minimize the expected cost per unit time by optimizing values of five variables (scheduled duration without monitoring, scheduled duration of preventive maintenance, sample size, sampling interval and control limit). The results of a numerical example indicate that the hourly cost of the proposed model is lower than the model that delayed monitoring is not considered when the system has a low hazard rate during the early period. Finally, a sensitivity analysis is performed to demonstrate the effect of model parameters.

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