Techniques and Tools for Maintenance Management

  • Juan F. Gómez  Fernández
  • Adolfo Crespo Márquez
Chapter
Part of the Springer Series in Reliability Engineering book series (RELIABILITY)

Abstract

In maintenance management, we must take many times decisions under high levels of uncertainty and that is not normally an easy task [19]. In this section we first introduce some basic and important concepts related to decision-making in management science and then we somehow discuss about the application of those concepts to the management of maintenance.

Keywords

Fatigued Diesel HAZOP 

References

  1. 1.
    Andersen PK, Borgan O, Gill R, Keilding N (1993) Statistical models based on counting process. Springer, New YorkGoogle Scholar
  2. 2.
    Arrow KJ (1963) Social choice and individual values. Wiley, New YorkGoogle Scholar
  3. 3.
    Arrow KJ (1970) Complete guide to preventive and predictive maintenance. Yale University Press, New YaleGoogle Scholar
  4. 4.
    ASRP (1979) Aviation safety reporting program. FAA Advisory Circular No. 00-46B, Federal Aviation Administration (FAA), Washington, DCGoogle Scholar
  5. 5.
    Auday M, Tohmé F (2005) Social choice situations and aggregation criteria: inductive reasoning in social choice theory. Universidad Nacional del Sur, ArgentinaGoogle Scholar
  6. 6.
    Banjevic D (2008) Remaining useful life in theory and practice. Metrika 69:337–349Google Scholar
  7. 7.
    Belton S, Stewart TS (2002) Multiple criteria decision analysis an integrated approach. Kluwer Academic, MassachusettsGoogle Scholar
  8. 8.
    Bley D (2002) New methods for human reliability analysis. Environ Manag Health 13(3):277–289CrossRefGoogle Scholar
  9. 9.
    Blischke WR, Murthy DNP (2000) Reliability modelling, prediction and optimization. Wiley, New YorkCrossRefGoogle Scholar
  10. 10.
    Buchanan JT, Daellenbach HG (1987) A comparative evaluation of interactive solution methods for multiple objective decision models. Eur J Oper Res 29(3):353–359CrossRefGoogle Scholar
  11. 11.
    Campbell JD, Jardine A (2001) Maintenance excellence. Marcel Dekker, New YorkGoogle Scholar
  12. 12.
    Christensen MJ, Howard JM (1981) Field experience in maintenance. In: Rasmussen J, Rouse W (eds) Human detection and diagnosis of system failures. Proceedings of the NATO symposium on human detection and diagnosis of system failures. Plenum Press, New York, pp 111–133Google Scholar
  13. 13.
    Collet D (1995) Modelling survival data in medical research. Chapman-Hall, LondonGoogle Scholar
  14. 14.
    Cox DR, Oakes D (1984) Analysis of survival data. Chapman and Hall, LondonGoogle Scholar
  15. 15.
    Cox DR (1972) Regression models and life-tables. J Royal Stat Soc-Ser 34:187–220MATHGoogle Scholar
  16. 16.
    Crespo Márquez A (2007) The maintenance management framework models and methods for complex systems maintenance. Springer, Londres, Reino UnidoGoogle Scholar
  17. 17.
    Dhillon BS (1986) Human reliability: with human factors. Pergamon Press, New YorkGoogle Scholar
  18. 18.
    Dhillon BS (1989) Human errors: a review microelectron. Reliability 29(3):299–304CrossRefGoogle Scholar
  19. 19.
    Dhillon (2009) Human reliability, error, and human factors in engineering maintenance with reference to aviation and power generation. Taylor & Francis Group LLCGoogle Scholar
  20. 20.
    Dixon JR (1966) Design engineering: inventiveness, analysis and decision-making. McGraw-Hill Inc., New YorkGoogle Scholar
  21. 21.
    Dodson B (2006) The weibull analysis handbook. American Society for QualityGoogle Scholar
  22. 22.
    Dougherty EM (1990) Human reliability analysis—where shouldst thou turn? Reliab Eng Syst Saf 29(3):283–299CrossRefGoogle Scholar
  23. 23.
    Ebeling CE (1997) An introduction to reliability and maintainability engineering. MacGraw Hill, BostonGoogle Scholar
  24. 24.
    Ehrgott M, Gandibleux X (2003) Multiobjective combinatorial optimization: theory, methodology and applications. Springer, BerlinGoogle Scholar
  25. 25.
    Elbing C (1997) An Introduction of reliability and maintainability engineering. McGraw-Hill, New YorkGoogle Scholar
  26. 26.
    EUREDATA (1983) Guide to reliability data collection and management. EuReDatA Project Report Nº3. Commission of the European communities. Ispra Varese, Joint Research Centre, ItalyGoogle Scholar
  27. 27.
    Fabrycky WJ, Blanchard BS (1991) Life-cycle cost and economic analysis. Prentice hall international series in industrial and systems engineeringGoogle Scholar
  28. 28.
    Figuera J, Greco S, Ehrgott M (2005) Multiple criteria decision analysis: state of the art surveys. Springer, BerlinGoogle Scholar
  29. 29.
    Garg A, Deshmukh SG (2006) Maintenance management: literature review and directions. J Qual Maint Eng 12(3):205CrossRefGoogle Scholar
  30. 30.
    Gibson WH, Megaw TD (1998) The implementation of CORE-DATA. HSE Books, SudburyGoogle Scholar
  31. 31.
    Gigerenzer G, Goldstein DG (1996) Reasoning the fast and frugal way: models of bounded rationality. Max Planck Institute for Psychological Research and University of Chicago, MunichGoogle Scholar
  32. 32.
    Greves D, Schreiber B (1993) Engineering costing techniques in ESA. http://esapub.esriu.esa.it.pointtobullet/greves1.html
  33. 33.
    Guess F, Proschan F (1988) Mean residual life: theory and applications. Handb Stat 7:215–224CrossRefGoogle Scholar
  34. 34.
    Hale AR, Glendon AI (1987) Individual behavior in the control of danger. Elsevier Science Publishers B.V, AmsterdamGoogle Scholar
  35. 35.
    Harrell FE (2001) Regression modeling estrategies. Springer, New YorkGoogle Scholar
  36. 36.
    He Z, Staples G, Ross M, Court I (1996) Fourteen Japanese quality tools in software process improvement. J TQM Mag 8(4):40–44CrossRefGoogle Scholar
  37. 37.
    Hollnagel E (2006) Human reliability analysis in international encyclopedia of ergonomics and human factors. Karwowski Waldeman. Taylor & Francis Group, pp 753–757Google Scholar
  38. 38.
    Horst R (2009) The Weibull distribution: a handbook. Taylor & Francis Group, LLCGoogle Scholar
  39. 39.
    Hosmer DW, Lemeshow S (1999) Regression modeling of time to event data. Wiley, New YorkGoogle Scholar
  40. 40.
    Hougaard P (2000) Analysis of multivariate survival data. Springer, New YorkGoogle Scholar
  41. 41.
    Hoyland A, Rausand M (1995) System reliability theory. Models and statistical methods. Wiley, LondonGoogle Scholar
  42. 42.
    HSE (Health and Safety Executive) (2011) Human factors in accident and incident investigations. http://www.hsl.gov.uk
  43. 43.
    Hwang CL, Yoon K (1981) Multiple atribute decision-making. Methods and applications. Springer, BerlínGoogle Scholar
  44. 44.
    International Electrotechnical Commission (IEC) (2010) Area 191: Quality of service. www.electropedia.org
  45. 45.
    Ishikawa K (1985) What is total quality control?. Prentice-Hall Inc, Englewood CliffsGoogle Scholar
  46. 46.
    Association Japan Management (1988) The idea book: Improvement through TEl (total employee involvement). Productivity Press, CambridgeGoogle Scholar
  47. 47.
    Jiang R, Murthy DNP (2004) Mixture of Weibull distributions—parametric characterization of failure rate function. Appl Stoch Models Data AnalGoogle Scholar
  48. 48.
    Kahneman D (2002) Maps of bounded rationality: a perspective on intuitive judgment and choice. Prize Lecture, Dec 8Google Scholar
  49. 49.
    Kalbfleisch JD, Prentice RL (1980) The statistical analysis of failure time data. Wiley, New YorkMATHGoogle Scholar
  50. 50.
    Kaplan RS, Norton DP (1996) The balanced scorecard: translating strategy into action. Harvard Business School Press, BostonGoogle Scholar
  51. 51.
    Keen PGW, Morton MSS (1975) Decision support systems: an organizational perspective. Addison, WesleyGoogle Scholar
  52. 52.
    Kirwan B (1994) A guide to practical human reliability assessment. Taylor & Francis, LondonGoogle Scholar
  53. 53.
    Kirwan B, Basra G, Taylor-Adams SE (1997) CORE-DATA: a computerized human error database for human reliability support. IEEE Conf Hum Factors Power Plants, pp 9.7–9.12Google Scholar
  54. 54.
    Kirwan B (1997) The validation of three human reliability quantification techniques—THERP, HEART and JHEDI, part 2—results of validation exercise and part 3—practical aspects of the usage of the techniques. Appl Ergon 28(1):17–41CrossRefGoogle Scholar
  55. 55.
    Klein J, Moeschberguer M (1997) Survival analysis techniques for censored and truncated data. Springer, New York IncMATHGoogle Scholar
  56. 56.
    Kleinbaum DG (1996) Statistics in the health sciences: survival analysis. Springer, New YorkGoogle Scholar
  57. 57.
    Knezevic J (2010) Maintainability and system effectiveness in handbook of maintenance management and engineering. In: Ben-Daya M, Duffuaa SO, Raouf A, Knezevic J, Ait-Kadi D (eds). SpringerGoogle Scholar
  58. 58.
    Law AM, Kelton WD (1991) Simulation modeling and analysis. McGraw-Hill, New YorkGoogle Scholar
  59. 59.
    Lee ET (1992) Statistical methods for survival data analysis. WileyGoogle Scholar
  60. 60.
    Lindsey JK (2001) The statistical analysis of stochastic processes in time. Cambridge Univ PressGoogle Scholar
  61. 61.
    Mach P, Guaqueta J (2001) Utilization of the seven Ishikawa tools (old tools) in the sixsigma strategy. Electronics technology: concurrent engineering in electronic packaging. 24th International Spring Seminar, pp 51–55Google Scholar
  62. 62.
    Manson S (2003) Improving maintenance by reducing human error. Health, Safety & Engineering Consultants Limited (HSEC) http://www.plant-maintenance.com/articles/maintenance_human_error.pdf
  63. 63.
    Marchant T (2003) Towards a theory of MCDM: stepping away from social choice theory. Math Soc Sci 45(3):343–363MathSciNetMATHCrossRefGoogle Scholar
  64. 64.
    Maslow AH (1954) Motivation and personality. Harper & Row, Publishers Inc.Google Scholar
  65. 65.
    Maslow AH (1943) A theory of human motivation. Psychol Rev 50:370–396CrossRefGoogle Scholar
  66. 66.
    Massey FJ (1951) The Kolmogorov-Smirnov test for goodness of fit. J Am Stat Assoc 46(253):68–78MATHCrossRefGoogle Scholar
  67. 67.
    Mettas A, Wenbiao Z (2005) Modeling and analysis of repairable systems with general repair. Reliability and maintainability symposium, 2005. Proceedings. Ann. Jan 24–27, pp 176–182, ISBN: 0-7803-8824-0Google Scholar
  68. 68.
    Mintzberg H (1973) The nature of managerial work. Prentice Hall, New JerseyGoogle Scholar
  69. 69.
    Misra KB (2008) Performability engineering: a essential concept in the 21st century. Handbook of performability engineering, pp 1–12. Springer. ISBN 1848001304Google Scholar
  70. 70.
    Mitchell E, Robson A, Prabhu VB (2002) The impact of maintenance practices on operational and business performance. Manag Auditing J 17(5):234–240CrossRefGoogle Scholar
  71. 71.
    Moffett A, Sarkar S (2006) Incorporating multiple criteria into the design of conservation area networks: a minireview with recommendations. University of TexasGoogle Scholar
  72. 72.
    Moubray J (1997) Reliability-centered maintenance. Industrial Press, New YorkGoogle Scholar
  73. 73.
    Munda G (2002) Social multi-criteria evaluation (SMCE): methodological foundations and operational consequences. U. Department of Economics and Economic History, BarcelonaGoogle Scholar
  74. 74.
    Murthy DNP, Xie M, Jiang RW (2004) Weibull models. Wiley, New JerseyMATHGoogle Scholar
  75. 75.
    Muth ES (1977) Reliability models with positive memory derived from the mean residual life function. Theory and applications of reliability vol 2. Academic Press, New York, pp 401–435Google Scholar
  76. 76.
    Nash JE (1950) The bargaining problem. Econometrics 18:155–162MathSciNetMATHCrossRefGoogle Scholar
  77. 77.
    Nassar MM, Eissa FH (2003) On the exponentiated Weibull distribution. Comm Stat Theory Meth 32(7):1317–1336MathSciNetMATHCrossRefGoogle Scholar
  78. 78.
    Navarro J, Fernandez PJ (2004) How to obtain bathtub-shaped failure rate models form normal mixtures. Prob Eng Inform Sci 18:511–531MATHCrossRefGoogle Scholar
  79. 79.
    Navneet B, Kanwal R (2004) Strategic decision-making: applying the analytic hierarchy process. Decision engineering. SpringerGoogle Scholar
  80. 80.
    Nayatani Y, Eiga T, Futami R, Miyagawa H (1994) Seven new QC tools: practical applications for managers. Productivity Press, ISBN-10: 4883190048Google Scholar
  81. 81.
    Niebel B (1985) Engineering maintenance management. Marcel Dekker, New YorkGoogle Scholar
  82. 82.
    Nowlan SF, Heap HF (1978) Reliability-centred maintenance. National Technical Information Service, US Department of Commerce, and Springfield VirginiaGoogle Scholar
  83. 83.
    NPRDS (1980) Reporting procedures manual for the nuclear plant reliability data system NPRDS. South−West Research Institute, San AntonioGoogle Scholar
  84. 84.
    OREDA (2002) Offshore reliability data handbook. DNV, HøvikGoogle Scholar
  85. 85.
    Ozemoy VM (1987) A framework for choosing the most appropriate discrete alternative MCDM in decision support and expert systems. In: Savaragi Y et al (eds) Toward interactive and intelligent decision support systems. Springer, HeildelbergGoogle Scholar
  86. 86.
    Ozemoy VM (1992) Choosing the ‘best’ multiple criteria decision-making method. INFOR 30(2):159. http://library.capella.edu/login?url=http://search.proquest.com/docview/228478075?accountid=27965 Google Scholar
  87. 87.
    Papoulis A (1991) Probability random variables and stochastic processes, 3rd edn. McGraw-Hill, BostonGoogle Scholar
  88. 88.
    Parmar MKB, Machin D (1996) Survival analysis: a practical approach. Wiley, ChichesterGoogle Scholar
  89. 89.
    Pintelon L, Parodi-Herz A (2008) Maintenance: an evolutionary perspective in complex system. In: Kobbacy KAH, Murthy DNP (eds) Complex system maintenance handbook. SpringerGoogle Scholar
  90. 90.
    RD PE (1994) Guidelines for equipment reliability data centre for chemical process safety. CCPS, New YorkGoogle Scholar
  91. 91.
    Perumalla KS (2007) Model execution. In: Fishwick PA (ed). Handbook of dynamic system modelling. Chapman and Hall/CRC, Boca RatónGoogle Scholar
  92. 92.
    Pham H, Wang H (1996) Imperfect maintenance. Eur J Oper Res 49(3):425–438Google Scholar
  93. 93.
    Pham H (2003) Handbook of reliability engineering. BirkhäuserGoogle Scholar
  94. 94.
    Pham H (2006) Handbook of engineering statistics. SpringerGoogle Scholar
  95. 95.
    Pidd M (2003) Tools for thinking. Modelling in management science, 2nd edn. Wiley, ChichesterGoogle Scholar
  96. 96.
    Pintelon L, Muchiri PN (2009) Safety and maintenance. In handbook of maintenance management and engineering. In: Ben-Daya M, Duffuaa SO, Raouf A, Knezevic J, Ait-Kadi D (eds). SpringerGoogle Scholar
  97. 97.
    Pintelon L, Gelders LF (1992) Maintenance management decision-making. Eur J Oper Res 58(3):301–317CrossRefGoogle Scholar
  98. 98.
    Rausand M, Høyland A (2004) System reliability theory, models, statistical methods and applications. Wiley-Interscience. 2nd editionGoogle Scholar
  99. 99.
    Reason J (1990) Human error. Cambridge University Press, New YorkGoogle Scholar
  100. 100.
    Romero C (1996) Análisis de las decisiones multicriterio. ISDEFE Ingeniería de Sistemas, MadridGoogle Scholar
  101. 101.
    Sandom C, Harvey RS (2004) Human factors for engineers. The institution of engineering and technology, p 392, ISBN: 0863413293Google Scholar
  102. 102.
    Shen Y, Xie M, Ching Tang L (2010) Nonparametric estimation of decreasing mean residual life with type II censored data. IEEE Trans Reliability 59(1):109–121Google Scholar
  103. 103.
    Simon H (1957) A behavioral model of rational choice, in models of man, social and rational: mathematical essays on rational human behavior in a social setting. Wiley, New YorkGoogle Scholar
  104. 104.
    Simon H (1960) The new science of management decision. Harper & Row, New YorkGoogle Scholar
  105. 105.
    Smith PJ (2002) Analysis of failure and survival data. Chapman-Hall, New YorkMATHGoogle Scholar
  106. 106.
    Stewart T (1992) A critical survey on the status of multiple criteria decision-making theory and practice. OMEGA, Int J Manag Sci 20(5/6):569–586CrossRefGoogle Scholar
  107. 107.
    Swain AD, Guttman HE (1983) Handbook of human reliability analysis with emphasis on nuclear power plant applications. NUREG/CR-1278. USREG, Washington DCGoogle Scholar
  108. 108.
    Veber B, Nagode M, Fajdiga M (2008) Generalized renewal process for repairable systems based on finite Weibull mixture. Reliability Eng Syst Saf 93(10):1461–1474CrossRefGoogle Scholar
  109. 109.
    Vensim (2011) Vensim. Ventana Systems Inc., Harvard, MA 01451, http://www.vensim.com
  110. 110.
    Williams JC (1988) A data-based method for assessing and reducing human error to improve operational performance. Human factors and power plants, conference record for 1988 IEEE fourth conference, (5–9):436–450Google Scholar
  111. 111.
    Wireman T (1990) World class maintenance management. Industrial Press, New YorkGoogle Scholar
  112. 112.
    Wireman T (1991) Total productive maintenance. Industrial Press, New YorkGoogle Scholar
  113. 113.
    Yang GL (1977) Life expectancy under random censorship. Stoch Process 6:33–39MATHCrossRefGoogle Scholar
  114. 114.
    Yang GL (1978) Estimation of a biometric function. Ann Stat 6(1):112–116MATHCrossRefGoogle Scholar
  115. 115.
    Yoon KP, Hwang CL (1995) Multiple attribute decision-making: an introduction. Sage University paper series on quantitative applications in the social sciences, Thousands OaksGoogle Scholar
  116. 116.
    Zanakis SH, Solomon A, Wishart N, Dublish S (1998) Multi-attribute decision-making: a simulation comparison of select methods. Eur J Oper Res 107(3):507–529Google Scholar
  117. 117.
    Zeigler BP, Praehofer H, Kim TG (2000) Theory of modelling and simulation, 2nd edn. Academic Press, New YorkGoogle Scholar
  118. 118.
    Zeleny M (1982) Multiple criteria decision-making. McGraw-Hill, New York.Google Scholar

Copyright information

© Springer-Verlag London 2012

Authors and Affiliations

  • Juan F. Gómez  Fernández
    • 1
  • Adolfo Crespo Márquez
    • 1
  1. 1.Department of Industrial ManagementUniversidad de SevillaSevillaSpain

Personalised recommendations