A review on machinery diagnostics and prognostics implementing condition-based maintenance

Remaining useful life estimation - A review on the statistical data driven approaches

Cost Effectiveness in Health and Medicine.

Deep learning and its applications to machine health monitoring

A survey of maintenance policies of deteriorating systems

Introduction From Maintenance Management to Physical Asset Management The Challenges of Physical Asset Management Improving Physical Asset Management Reliability through the Operator: Total Productive Maintenance Reliability by Design: Reliability-Centered Maintenance Optimizing Maintenance and Replacement Decisions The Quantitative Approach References Component Replacement Decisions Introduction Optimal Replacement Times for Equipment Whose Operating Cost Increases with Use Stochastic Preventive Replacement: Some Introductory Comments Optimal Preventive Replacement Interval of Items Subject to Breakdown (Also Known as the Group or Block Policy Optimal Preventive Replacement Age of an Item Subject to Breakdown Optimal Preventive Replacement Age of an Item Subject to Breakdown, Taking Account of the Times Required to Effect Failure and Preventive Replacements Optimal Preventive Replacement Interval or Age of an Item Subject to Breakdown: Minimization of Downtime Group Replacement: Optimal Interval between Group Replacements of Items that Are Subject to Failure: The Lamp Replacement Problem Further Replacement Models Spare Parts Provisioning: Preventive Replacement Spares Spare Parts Provisioning: Insurance Spares Solving the Constant-Interval and Age-Based Models Graphically: Use of Glasser's Graphs Solving the Constant-Interval and Age-Based Models Using the OREST Software References Problems Inspection Decisions Introduction Optimal Inspection Frequency: Maximization of Profit Optimal Inspection Frequency: Minimization of Downtime Optimal Inspection Interval to Maximize the Availability of Equipment Used in Emergency Conditions, Such as a Protective Device Optimizing Condition-Based Maintenance (CBM) Decisions References Problems Capital Equipment Replacement Decisions Introduction Optimal Replacement Interval for Capital Equipment: Minimization of Total Cost Optimal Replacement Interval for Capital Equipment: Maximization of Discounted Benefits Optimal Replacement Interval for Capital Equipment Whose Planned Utilization Pattern Is Variable: Minimization of Total Cost Optimal Replacement Policy for Capital Equipment Taking into Account Technological Improvement: Finite Planning Horizon Optimal Replacement Policy for Capital Equipment Taking into Account Technological Improvement: Infinite Planning Horizon Software for Economic Life Optimization References Problems Maintenance Resource Requirements Introduction Queuing Theory Preliminaries Optimal Number of Workshop Machines to Meet a Fluctuating Workload Optimal Mix of Two Classes of Similar Equipment (such as Medium/Large Lathes) to Meet a Fluctuating Workload Rightsizing a Fleet of Equipment: An Application Optimal Size of a Maintenance Workforce to Meet a Fluctuating Workload, Taking Account of Subcontracting Opportunities The Lease or Buy Decision References Problem Appendix 1: Statistics Primer Appendix 2: Weibull Analysis Appendix 3: Time Value of Money: Discounted Cash Flow Analysis Appendix 4: List of Applications of Maintenance Decision Optimization Models Appendix 5: Ordinates of the Standard Normal Distribution Appendix 6: Areas in the Tail of the Standard Normal Distribution Appendix 7: Values of Gamma Function Appendix 8: Median Ranks Table Appendix 9: Five Percent Ranks Table Appendix 10: Ninety-Five Percent Ranks Table Appendix 11: Critical Values for the Kolmogorov-Smirnov Statistic (d) Appendix 12: Answers to Problems Index

Maintenance, Replacement, and Reliability: Theory and Applications

Performance measures should be linked to an organization’s strategy in order to provide useful information for making effective decisions and shaping desirable employee behaviour. The pitfalls relating to the indiscriminate use of common maintenance performance indicators are discussed in this paper. It also reviews four approaches to maintenance performance measures. The value‐based performance measure evaluates the impact of maintenance activities on the future value of the organization. The Balanced Scorecard (BSC) provides a framework for translating strategy into operational measures that collectively capture the critical requirements for sustaining the organization’s success. System audits are the tool for measuring organizational culture, which in turn determines the appropriate approach to the organization of maintenance functions. The operational efficiency of an organization’s maintenance function can be benchmarked with those of its counterparts in other organizations by using Data Envelopment Analysis (DEA). Among these approaches, the one which builds on the BSC embraces the design principles of a good performance measurement system. To smooth the adoption of the BSC approach to managing maintenance operations, a related research agenda is proposed in the concluding section.

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Measuring maintenance performance: a holistic approach

In this paper, we examine a replacement problem for a system subject to stochastic deterioration. Upon failure the system must be replaced by a new one and a failure cost is incurred. If the systemis replaced before failure a smaller cost is incurred. The failure of the system depends both on its age and also on values of a diagnostic stochastic process observable at discrete points of time. Cox’s proportional hazards model is used to describe the failure rate of the system. We consider the problem of specifying a replacement rule which minimizes the long-run expected average cost per unit time. The form of the optimal replacement policy is found and an algorithm based on a recursive computational procedure is presented which can be used to obtain the optimal policy and the optimal expected average cost.

Optimal Replacement In The Proportional Hazards Model

The focus of the paper is the optimization of condition-based maintenance decisions within the contexts of physical asset management. In particular, the analysis of a preventive replacement policy of the control-limit type for a deteriorating system subject to inspections at discrete points of time is presented. Cox’s PHM with a Weibull baseline hazard function and time dependent stochastic covariates is used to describe the failure rate of the system. The methods of estimating model parameters and the calculation of the optimal policy are given. The structure of the decision-making software EXAKT is presented. Experience with collecting, preprocessing and using real oil and vibration data is reported.

Andrew K.S. Jardine

Papers

A review on machinery diagnostics and prognostics implementing condition-based maintenance

Maintenance, Replacement, and Reliability: Theory and Applications

Measuring maintenance performance: a holistic approach

Optimal Replacement In The Proportional Hazards Model

A Control-Limit Policy And Software For Condition-Based Maintenance Optimization