Stochastic simulation of system reliability as a tool for maintenance strategy optimization in a cement plant

2011 ◽  
Author(s):  
Adam Posly ◽  
William S Duff ◽  
Thomas H Bradley
Keyword(s):  
Stochastic Simulation ◽  
System Reliability ◽  
Cement Plant ◽  
Maintenance Strategy

scholarly journals Reliability-Based Preventive Maintenance Strategy of Truck Unloading Systems

2020 ◽  
Vol 10 (19) ◽  
pp. 6957
Author(s):  
Awsan Mohammed ◽  
Ahmed Ghaithan ◽  
Mashel Al-Saleh ◽  
Khalaf Al-Ofi
Keyword(s):  
System Reliability ◽  
Preventive Maintenance ◽  
Failure Modes ◽  
Reliability Function ◽  
Petroleum Products ◽  
Maintenance Strategy ◽  
Mean Time Between Failures ◽  
Time Period ◽  
Critical Components ◽  
One Year

The unloading of petroleum products is a complex and potentially dangerous operation since the unloading system contains complex interdependency components. Any failures in one of its components lead to a cut in the petroleum supply chain. Therefore, it is important to assess and evaluate the reliability of the unloading system in order to improve its availability. In this context, this paper presents the operation philosophy of the truck unloading system, failure modes of the components within the system, and a bottom-up approach to analyze the reliability of the system. In addition, it provides reliability data, such as failure rates, and mean time between failures of the system components. Furthermore, the reliability of the whole system was calculated and is presented for different time periods. The critical components, which are major contributors towards the system reliability, were identified. To enhance the system reliability, a reliability-based preventive maintenance strategy for the critical components was implemented. In addition, the preventive maintenance scheduling was identified based on the reliability plots of the unloading system. The best schedule for preventive maintenance of the system was determined based on the reliability function to be every 45 days for maintaining the system reliability above 0.9. Findings reveal that the reliability of the unloading system was significantly improved. For instance, the system reliability at one year improved by 80%, and this ratio increased dramatically as the time period increased.

scholarly journals Stochastic Simulation on System Reliability and Component Probabilistic Importance of Road Network

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Xiangyu Zhao ◽  
Dongwei Wang ◽  
Yadan Yan ◽  
Ziyuan Gu
Keyword(s):  
Monte Carlo ◽  
Stochastic Simulation ◽  
System Reliability ◽  
Road Network ◽  
Object Oriented ◽  
Simulation Method ◽  
Object Oriented Programming ◽  
The Road ◽  
Simulation Monte Carlo ◽  
Oriented Programming Language

Because of the combination explosion problem, it is difficult to use probability analytical method to calculate the system reliability of large networks. The paper develops a stochastic simulation (Monte Carlo-based) method to study the system reliability and component probabilistic importance of the road network. The proposed method considers the characteristics of the practical road network as follows: both link (roadway segment) and node (intersection) components are emphasized in the road network; the reliability for a link or node component may be at the in-between state; namely, its reliability value is between 0 and 1. The method is then implemented using the object-oriented programming language C++ and integrated into a RARN-MGG (reliability analysis of road network using Monte Carlo, GIS, and grid) system. Finally, two numerical examples based on a simple road network and a large real road network, respectively, are carried out to characterize the feasibility and to demonstrate the strength of the stochastic simulation method.

Maintenance strategy selection in a cement industry using analytic network process

2019 ◽  
Vol 26 (4) ◽  
pp. 509-525
Author(s):  
Mary C. Kurian ◽  
Shalij P.R. ◽  
Pramod V.R.
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Multiple Criteria ◽  
Cement Industry ◽  
Superior Performance ◽  
Cement Plant ◽  
Strategy Selection ◽  
Maintenance Strategy ◽  
Content Type ◽  
Network Process

Purpose The purpose of this paper is to demonstrate the application of analytic network process (ANP) as a methodology to make multiple criteria decision in selecting the most appropriate maintenance strategy for organizations with critical manufacturing requirements. Design/methodology/approach Maintenance strategy selection problems are multiple criteria decision making (MCDM) problems which consist of many qualitative and quantitative characteristics. For solving MCDM problems, the ANP is highly recommended as it considers the interdependent influences among and between the various levels of decision attributes. In this research paper, the ANP method is used to select the optimum maintenance strategy in a cement industry in India. Findings The ANP method can be used as an effective tool for the evaluation of possible alternatives in maintenance strategy decision problems by considering the dependency among the strategic factors. Research limitations/implications As illustrated in this paper, ANP method can also be used in other industries for adopting the optimum maintenance strategy to enhance the business performance by decreasing the losses associated with equipment effectiveness. Practical implications The major contribution of this research is the successful development of the comprehensive ANP model for the cement plant. ANP model incorporates diversified variables of the cement plant supply chain and includes their interdependencies. The proposed ANP model in this paper, not only guides the decision makers in the selection of the best services but also enables them to visualize the impact of various criteria in the arrival of the final solution. Social implications The model can be extended to certain other manufacturing sectors as the future scope of research and may assist in obtaining a clear idea regarding the status of current maintenance strategies. It should be carried out with a larger number of firms in India focusing on small and medium firms to confirm these results and reinforce their applicability to these kinds of firms. Studies of such a nature would help in identifying successful organizational factors or successful maintenance practices that lead to superior performance. Originality/value This paper explores the value of implementing ANP as a decision making method in maintenance strategy, which is currently not a prevalent method.

A novel opportunistic maintenance strategy for systems with dependent main and auxiliary components

2020 ◽  
Vol 32 (1) ◽  
pp. 69-90 ◽  
Author(s):  
Jingyuan Shen ◽  
Yanjing Zhang ◽  
Yizhong Ma ◽  
Cong Lin
Keyword(s):  
System Reliability ◽  
Maintenance Strategy ◽  
Replacement Cost ◽  
The Matrix ◽  
Optimal Maintenance ◽  
Sensitivity Studies ◽  
Inspection And Maintenance ◽  
Environmental Shocks ◽  
Main Component ◽  
Cost Parameters

Abstract The complexity of dependence between different types of components results in many challenges to estimate system reliability and to optimize maintenance plans. In this paper, we develop a reliability model to study the failure dependence of a system with a main component and several protective auxiliary components. Damage to the main component caused by random environmental shocks depends on the number of auxiliary components in operation. When the execution of inspection and maintenance actions during system operation is difficult, failures of the main component provide opportunities to inspect and replace the auxiliary components. We derive the system reliability using Laplace transforms and the matrix method. The optimization problem is solved by an enumeration method. A numerical example and sensitivity studies of cost parameters show how the evolution of the parameters influences the optimal maintenance strategy. The results show that a high replacement threshold of the auxiliary components is required when the replacement cost of the main component is high. Conversely, the threshold could be adjusted to a lower level when the replacement cost of the auxiliary components and the downtime cost increase.

Applications of Risk-Based Decision-Making Tools for Process Equipment Maintenance

2002 ◽  
Author(s):  
Randal L. Montgomery ◽  
William C. Satterfield
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
System Reliability ◽  
Process Equipment ◽  
Equipment Maintenance ◽  
Maintenance Strategy ◽  
Analysis Tools ◽  
Reliability Centered Maintenance

This paper explains a risk-based approach for analyzing process equipment that will help maintenance organizations improve system reliability and optimize maintenance resources. In addition, the approach provides a methodology for organizations to move from a prescriptive or compliance-based maintenance strategy to a risk-based maintenance strategy. The approach outlined is based on proven risk assessment and maintenance analysis tools, such as reliability-centered maintenance. The information in this paper will benefit maintenance professionals interested in optimizing maintenance resources.

The effects of relative system reliability and prioritization on alarm reaction patterns

2006 ◽  
Author(s):  
Elizabeth T. Newlin ◽  
Ernesto A. Bustamante ◽  
James P. Bliss ◽  
Randall D. Spain ◽  
Corey K. Fallon
Keyword(s):  
System Reliability ◽  
Alarm Reaction ◽  
Reaction Patterns
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