scholarly journals Condition-Based Maintenance Strategy for Production Systems Generating Environmental Damage

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
L. Tlili ◽  
M. Radhoui ◽  
A. Chelbi
Keyword(s):  
Preventive Maintenance ◽  
Lower Cost ◽  
Critical Level ◽  
Production Systems ◽  
Numerical Procedure ◽  
Threshold Level ◽  
Condition Based Maintenance ◽  
Environmental Damage ◽  
Long Run ◽  
Maintenance Policies

We consider production systems which generate damage to environment as they get older and degrade. The system is submitted to inspections to assess the generated environmental damage. The inspections can be periodic or nonperiodic. In case an inspection reveals that the environmental degradation level has exceeded the critical levelU, the system is considered in an advanced deterioration state and will have generated significant environmental damage. A corrective maintenance action is then performed to renew the system and clean the environment and a penalty has to be paid. In order to prevent such an undesirable situation, a lower threshold levelLis considered to trigger a preventive maintenance action to bring back the system to a state as good as new at a lower cost and without paying the penalty. Two inspection policies are considered (periodic and nonperiodic). For each one of them, a mathematical model and a numerical procedure are developed to determine simultaneously the preventive maintenance (PM) thresholdL∗and the inspection sequence which minimize the average long-run cost per time unit. Numerical calculations are performed to illustrate the proposed maintenance policies and highlight their main characteristics with respect to relevant input parameters.

Mathematical Optimization Models for the Maintenance Policies in Production Systems

2018 ◽  
pp. 252-268
Author(s):  
Alperen Bal ◽  
Sule Itir Satoglu
Keyword(s):  
Preventive Maintenance ◽  
Production Systems ◽  
Mathematical Optimization ◽  
Condition Based Maintenance ◽  
Future Research ◽  
Reliability Level ◽  
Simulation Based ◽  
Maintenance Activities ◽  
Maintenance Policies ◽  
Critical Components

This chapter initially presents a brief information about production systems. At these systems, different types of maintenance policies are developed to cope with wear out failures. Mainly used maintenance policies can be classified as corrective, preventive, and condition-based maintenance. In the corrective maintenance, repair or replacement is applied whenever components of the machine breakdown. In the preventive maintenance approach maintenance activities are applied to the critical components on a periodic basis. On the other hand, maintenance activities are applied whenever critical reliability level is reached or exceeded. These types of maintenance policies are modeled using mathematical modeling techniques such as linear programming, goal programming, dynamic programming, and simulation. A review of current literature about the mathematical models, the simulation-based optimization studies examining these maintenance policies are categorized and explained. Besides, the solution methodologies are discussed. Finally, the opportunities for future research are presented.

Optimal periodic inspection policy for systems generating environmental damage over a finite time horizon

2016 ◽  
Vol 22 (4) ◽  
pp. 453-467 ◽  
Author(s):  
Lazhar Tlili ◽  
Mehdi Radhoui ◽  
Anis Chelbi
Keyword(s):  
Finite Time ◽  
Time Horizon ◽  
Numerical Procedure ◽  
Optimal Solution ◽  
Threshold Level ◽  
Condition Based Maintenance ◽  
Environmental Damage ◽  
Maintenance Policy ◽  
Content Type ◽  
Finite Time Horizon

Purpose The authors consider systems that generate damage to environment as they get older and degrade. The purpose of this paper is to develop an optimal condition-based maintenance strategy for such systems in situations where they have a finite operational time requirement. The authors determine simultaneously the optimal number of inspections and the threshold level of environmental damage which minimize the total expected cost over the considered finite time horizon. Design/methodology/approach The environmental degradation level is monitored through periodic inspections. The authors model the environmental degradation process due to the equipment’s degradation by the Wiener process. A mathematical model and a numerical procedure are developed. Numerical calculations are performed and the influence of the variation of key parameters on the optimal solution is investigated. Findings Numerical tests indicate that as the cost of the penalty related to the generation of an excess damage to environment increases, inspections should become more frequent and the threshold level should be lowered in order to favor preventive actions reducing the probability to pay the penalty. Research limitations/implications Given the complexity of the cost function to be minimized, it is difficult to derive analytically the optimal solution. A numerical procedure is designed to obtain the optimal condition-based maintenance policy. Also, the developed model is based on the assumption that the degradation follows a process with stationary independent increments. This may not be appropriate for all types of degradation processes. Practical implications The proposed optimal maintenance policy may be relevant and very useful in the perspective of green operations. In fact, this paper offers to decision-makers a comprehensive approach to implement a green maintenance policy and to rapidly understand the net effect of the maintenance policy with respect to environmental regulation requirements. Originality/value The main contribution consists in the modeling and optimization of the condition-based maintenance policy over a finite time horizon. Indeed, existing condition-based maintenance models over an infinite time horizon are not applicable for systems with a finite operational time requirement.

Quality and Inspection of Machining Operations: Tool Condition Monitoring

2010 ◽  
Vol 132 (4) ◽  
Author(s):  
John T. Roth ◽  
Dragan Djurdjanovic ◽  
Xiaoping Yang ◽  
Laine Mears ◽  
Thomas Kurfess
Keyword(s):  
Condition Monitoring ◽  
Lower Cost ◽  
Production Systems ◽  
Tool Condition Monitoring ◽  
Rapid Expansion ◽  
Condition Based Maintenance ◽  
Manufacturing Processes ◽  
Tool Condition ◽  
Cutting Processes ◽  
Machining Operations

Tool condition monitoring (TCM) is an important aspect of condition based maintenance (CBM) in all manufacturing processes. Recent work on TCM has generated significant successes for a variety of cutting operations. In particular, lower cost and on-board sensors in conjunction with enhanced signal processing capabilities and improved networking has permitted significant enhancements to TCM capabilities. This paper presents an overview of TCM for drilling, turning, milling, and grinding. The focus of this paper is on the hardware and algorithms that have demonstrated success in TCM for these processes. While a variety of initial successes are reported, significantly more research is possible to extend the capabilities of TCM for the reported cutting processes as well as for many other manufacturing processes. Furthermore, no single unifying approach has been identified for TCM. Such an approach will enable the rapid expansion of TCM into other processes and a tighter integration of TCM into CBM for a wide variety of manufacturing processes and production systems.

scholarly journals Optimal Condition-Based Maintenance Strategy for Multi-Component Systems under Degradation Failures

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4346
Author(s):  
Kui Wang ◽  
Chao Deng ◽  
Lili Ding
Keyword(s):  
Critical Level ◽  
Condition Based Maintenance ◽  
Maintenance Strategy ◽  
Maintenance Policy ◽  
Cost Rate ◽  
Optimal Monitoring ◽  
Long Run ◽  
Component Systems ◽  
Maintenance Decision ◽  
The Impact

This paper proposes a condition-based maintenance strategy for multi-component systems under degradation failures. The maintenance decision is based on the minimum long-run average cost rate (LACR) and the maximum residual useful lifetime (RUL), respectively. The aim of this paper is to determine the optimal monitoring interval and critical level for multi-component systems under different optimization objectives. A preventive maintenance (PM) is triggered when the degradation of component exceeds the corresponding critical level. Afterwards, the paper discusses the relationship between the critical level and the monitoring interval with regards to the LACR and RUL. Methods are also proposed to determine the optimal monitoring interval and the critical level under two decision models. Finally, the impact of maintenance decision variables on the LACR and RUL is discussed through a case study. A comparison with conventional maintenance policy shows an outstanding performance of the new model.

Condition-Based Maintenance Policy under Imperfect Inspection Using Monte-Carlo Simulation

2012 ◽  
Vol 201-202 ◽  
pp. 955-958
Author(s):  
En Shun Ge ◽  
Qing Min Li ◽  
Guang Yu Zhang
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Preventive Maintenance ◽  
Condition Based Maintenance ◽  
Gamma Process ◽  
Maintenance Policy ◽  
Cost Rate ◽  
Numerical Example ◽  
Long Run

Condition-based Maintenance (CBM), which can efficiently improve the performance of the deteriorating system, would be influenced by imperfect inspection in practice. Aiming at this problem, a new CBM model under imperfect inspection is presented for deteriorating system, which described by Gamma process. The system is inspected periodically, and a preventive maintenance is performed if the degradation level exceeds a threhold. The inspection is imperfect, that means the measurements contain errors, and the CBM model should take these measure errors into account. The algorithm is shown to estimate the long run cost rate using Monte-Carlo method. Through numerical example, the influence of mesurement error over long run cost is analyzed. Therefore, the correctness and rationality of the model are proved.

Optimization of Condition-Based Maintenance Policy for Deteriorating System Based on Monte-Carlo Simulation

2012 ◽  
Vol 544 ◽  
pp. 44-48 ◽  
Author(s):  
En Shun Ge ◽  
Qing Min Li ◽  
Ao Lin Huang
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Preventive Maintenance ◽  
Threshold Value ◽  
Condition Based Maintenance ◽  
System State ◽  
Maintenance Policy ◽  
Cost Rate ◽  
Model And Simulation ◽  
Long Run

Condition-based Maintenance (CBM) can not only efficiently improve the performance of deteriorating system but also guarantee the system operation safety. This paper assumes that the system state is periodically inspected, and a preventive maintenance is performed if the degradation level exceeds a threshold. The effect of maintenance is imperfect, which means that maintenance can restore the system state to somewhere between as good as new and as bad as old. The algorithm is presented to get the solution of long run cost based on Monte-Carlo simulation, and the joint optimization of inspection rate, the threshold value and the number of preventive maintenance activities is investigated for the minimization of long run cost rate. A case study is given to show the procedure of the maintenance model and simulation. Therefore, the correctness and rationality of the model are proved.

Availability analysis and maintenance optimization for multiple failure mode systems considering imperfect repair

2021 ◽  
pp. 1748006X2110127
Author(s):  
Qingan Qiu ◽  
Baoliang Liu ◽  
Cong Lin ◽  
Jingjing Wang
Keyword(s):  
Failure Modes ◽  
Maintenance Cost ◽  
Imperfect Maintenance ◽  
Maintenance Policy ◽  
Cost Rate ◽  
Availability Analysis ◽  
Long Run ◽  
Optimal Maintenance ◽  
Maintenance Policies ◽  
Periodic Inspections

This paper studies the availability and optimal maintenance policies for systems subject to competing failure modes under continuous and periodic inspections. The repair time distribution and maintenance cost are both dependent on the failure modes. We investigate the instantaneous availability and the steady state availability of the system maintained through several imperfect repairs before a replacement is allowed. Analytical expressions for system availability under continuous and periodic inspections are derived respectively. The availability models are then utilized to obtain the optimal inspection and imperfect maintenance policy that minimizes the average long-run cost rate. A numerical example for Remote Power Feeding System is presented to demonstrate the application of the developed approach.

scholarly journals The economic market outcomes and income distribution when capital is not homogeneous

2019 ◽  
Vol 1 (1) ◽  
pp. 38-56
Author(s):  
Ahmet Özçam
Keyword(s):  
Measurement Problem ◽  
Physical Capital ◽  
Threshold Level ◽  
Market Model ◽  
Economic Market ◽  
Constant Elasticity ◽  
Content Type ◽  
Macroeconomic Analysis ◽  
Long Run ◽  
Short Run

Purpose An aggregate production function has been used in macroeconomic analysis for a long time, even though it seems that it is conceptually confusing and problematic. The purpose of this paper is to argue that the measurement problem related to the heterogenous capital input that exists in macroeconomics is also relevant to microeconomic market situations. Design/methodology/approach The author constructed a microeconomic market model to address both the problems of the measurement of the physical capital and of substitutability between labor and capital in the short run using two types of technologies: labor neutral and labor reducing. The author proposed that labor and physical capital inputs are complementary in the short run and can become substitutes only in the long run when the technology advances. Findings The author found that even if the technology improves at a fast rate over time, there are then diminishing returns of profits to technology and an upper limit to profits. Moreover, the author showed that under the labor-reducing technology, labor class earns more initially as technology improves, but their incomes start declining after some threshold level of passage of time. Originality/value The author cautioned the applied researcher that the estimated labor and capital coefficients of generalized Cobb–Douglas and constant elasticity of substitution of types of production functions could not be interpreted as partial elasticities of labor and capital if in reality the data come from fixed-proportions types of processes.

Sign in / Sign up

Export Citation Format

Share Document