Reliability and Maintenance Management
- To know the fundamental statistical concepts related to data life time in order to identify the most appropriate analytical methods to study and evaluate the Reliability of Repairable Systems and Components.
- To know the advantages and limitations of the methods in order to establish the most appropriate assumptions for the formulation of statistical models using.
- To acquire fundamental theoretical and practical knowledge to perform tasks in the field of organization and Maintenance Management.
- To identify and assess costs of maintenance and non-maintenance; identify problems and solve production losses.
- To work in the Maintenance Management field based on statistical models to support decision-making, planning maintenance actions focusing on systems reliability and consequently evolve into a philosophy of Total Productive Maintenance.
Ana Sofia Leonardo Vilela de Matos, José Fernando Gomes Requeijo
Weekly - 4
Total - 88
The course of Planning and Quality Control provides contact with a body of knowledge that proves of the utmost benefit for the student who wishes to attend the course of Reliability and Maintenance Management.
- Ascher, H. and Feingold, H. (1984), Repairable System Reliability. Modelling, Inference, Misconceptions and Their Causes, Marcel Dekker, NY
- Crowder, M.J., Kimber, A.C., Smith, R.L. and Sweeting (1994), Statistical Analysis of Reliability Data, Chapman and Hall, London
- Ho, S.K. (1995), TQM - an Integrated Approach, Kogan Page Limited, UK
- O’Connor, P. D. T. (1991), Practical Reliability Engineering, Wiley, NY
- Smith, S. (1993), Reliability Centred Maintenance, Reuters
- Cabral, J. P. S. (2006), Organização e Gestão da Manutenção, Lidel
- Kelly, A. (2003), Maintenance Organization and Systems, Athenaeum Press Ltd., England
The teaching method combines the expository approach, particularly in the theoretical classes, with approaches focused in simulated practice in the application of concepts. The practical work of the course looking for students to test and demonstrate the acquisition of technical knowledge and also the acquisition of interpersonal relationship skills for teamwork.
- The approval and the final grade in the discipline is made in consideration of the results of two tests to be carried out throughout the academic year.
- The minimum grade of the second test is 7 points.
- The final classification is obtained from the classifications of the two elements of evaluation, with the following weights: 1st Test - 50%; 2nd Test - 50%.
Part I - Reliability
1. Statistical Concepts Most Used in Reliability (Data Analysis, Reliability of Components and Independent Component Systems; Repairable Systems)
2. Probability Distributions in Reliability (Statistical Analysis of Failure: Comparison of Reliability Functions; Negative Exponential Distribution, and Poisson distribution; normal distribution and lognormal, Weibull distribution; Graphical Estimation of Parameters)
3. Reliability of Independent Component Systems (Connected Systems Series; Redundant Systems, Complex Systems)
4. Repairable Systems (Failure Analysis (Laplace test); Systems with ROCOF Constant (MTBF estimation; confidence intervals; Reliability Assurance; Sequential Test); Systems with Descending ROCOF (Crow Model).
Part II - Maintenance Management
1. Models and Philosophies of Maintenance
2. Organization and Structure Maintenance (Framework; Models; Tasks; Centralized and Decentralized Maintenance)
3. Determination of Priority Actions
4. Planning, Programming and Maintenance Work Control (Main Features; Reasons; Planning and Programming of Work; Work Preparation, Planning and Programming Over Time; Documents Provided by Preparation)
5. Technical Documentation
6. Causes Analysis Techniques
7. Efficiency, Quality and Standardization in Maintenance
8. Costs of Maintenance and Inventory Management
9. Communication at the company
10. Condition-based Maintenance
11. Reliability Centered Maintenance (RCM)
12. Total Productive Maintenance (TPM)
Programs where the course is taught: