Mining Maintenance

  1. Carlos Sierra 2
  2. Emilio Andrea 1
  1. 1 Equipos Nucleares, SA, SME Maliaño. Cantabria, Spain
  2. 2 Higher Technical School of Mining Engineers. University of León. León, Spain

Verlag: Springer

ISSN: 2364-3293,  2364-3307

ISBN: 9783031594496,  9783031594502

Datum der Publikation: 2024

Art: Buch

DOI: 10.1007/978-3-031-59450-2 SCOPUS: 2-s2.0-85207686363 GOOGLE SCHOLAR lock_openOpen Access editor

Ziele für nachhaltige Entwicklung

Zusammenfassung

Maintenance engineering is key to ensuring the smooth running of most of theservices and industrial processes we rely on day-to-day from manufacturing to waterand electricity supply grids, from mining to broadband and ICT systems. Effectivemaintenance strategies avoid service or production interruptions, minimize the asso-ciated costs, and improve overall system safety and reliability. As a result, mainte-nance must be part of the core strategy of any industrial enterprise and, as technologybecomes more advanced, so do the challenges of effective maintenance management.The responsibilities of the maintenance engineer encompass the optimizationof equipment, procedures, and budgets, as well as fault detection, corrective andpreventative maintenance across a range of systems. Considering the diversity ofmodern industry and the pace of technological change, maintenance engineeringrequires a truly multidisciplinary skillset combining a high level of competence inmathematics—particularly statistics, probability, and logistics—with practical engi-neering know-how and excellent communication, management, and decision-makingabilities.This book aims to provide engineering students with a basic introduction to theprincipal concepts and models used in maintenance engineering and to demonstratesome of their strengths and limitations through reference to real-world applications.The book comprises seven chapters that take the student through the basics of main-tenance and reliability engineering including key terminology, calculating failureprobabilities and techniques for monitoring system behavior, to increasingly morecomplex topics such as system reliability, sizing maintenance services, and predic-tive maintenance techniques. In each chapter, fundamental ideas are first explainedsuccinctly with worked examples being used later to develop and deepen students’understanding.Maintenance engineering is so much more than simply a matter of repairingbroken-down equipment; indeed, the challenges and complexities of this topic shouldnot be underestimated. Thus, we invite readers to begin their journey into the worldof maintenance engineering with an open mind, in the confidence that, by the end ofthis book, they will have not only a good grasp of its main concepts but also someidea of the passion and dedication it takes to be a maintenance engineer.Our sincere thanks go to Emilio Andrea Senior, distinguished mining engineer andformer adjunct professor at the University of Cantabria, for his invaluable insightsand contributions during the writing of this book.

Bibliographische Referenzen

  • IMF (2023) World economy outlook database. International Monetary Fund. Washington
  • MIL-HDBK-338 (1988) Electronic reliability design handbook. US Department of Defense
  • Mobley RK (2002) An introduction to predictive maintenance. Butterworth-Heinemann
  • Olofsson O (n.d.) MTBF and MTTR calculator. World class manufacturing. https://world-class-manufacturing.com/es/KPI/mtbf.html. Accessed 31 Oct 2016
  • Parida A, Kumar U (2009) Maintenance productivity and performance measurement. In: Handbook of maintenance management and engineering, pp 17–41
  • Dodson B (1994) Determining the optimum schedule for preventive maintenance. Qual Eng 6(4): 667–679
  • Dhillon BS (1999) Design reliability: fundamentals and applications. CRC Press
  • Dhillon BS (2002) Engineering maintenance: a modern approach. CRC Press
  • Fernández FJG (2005) Theory and practice of advanced industrial maintenance. FC Editorial
  • Jardine AK, Tsang AH (2013) Maintenance, replacement, and reliability: theory and applications. CRC Press
  • Kelly A (1998) Industrial maintenance management. REPSOL Foundation, Madrid
  • Monchy F (1990) Theory and practice of industrial maintenance. Masson
  • Sacristán FR (2001) Manual del mantenimiento integral en la empresa. FC Editorial
  • Bedford T, Cooke R (2003) Probability risk analysis: Foundations and methods. Cambridge University Press
  • Brick JM, Michael JR, Morganstein D (1989) Using statistical thinking to solve maintenance problems. Quality Progress 22(5): 55–60
  • Heydorn RP (2001) Reliability engineering handbook. Technometrics
  • Ireson WG, Coombs CF, Moss RY (1996) Handbook of reliability engineering and management. McGraw-Hill Professional
  • Kececioglu D (2002) Reliability and life testing handbook, vol 2. DEStech Publications, Inc.
  • Leavenworth RS, Grant EL (2000) Statistical quality control. McGraw-Hill Education
  • Meeker WQ, Escobar LA (2014) Statistical methods for reliability data. Wiley
  • Nelson WB (2009) Accelerated testing: Statistical models, test plans, and data analysis, vol 344. Wiley
  • O’Connor P, Kleyner A (2012) Practical reliability engineering. Wiley
  • Rey F (1996) Toward excellence in maintenance. TGP Hoshin, Madrid, Spain
  • Ríos S (1973) Métodos estadísticos. Ediciones del Castillo. España
  • Tobias PA, Trindade D (2011) Applied reliability. CRC Press
  • Torell W, Avelar, V (2004) Mean time between failure: explanation and standards. White Paper 78
  • Bedford T, Cooke R (2003) Probability risk analysis: foundations and methods. Cambridge University Press, Cambridge, UK
  • Brick JM, Michael JR, Morganstein D (1989) Using statistical thinking to solve maintenance problems. Qual Prog 22(5): 55–60
  • Torell W, Avelar V (2004) Mean time between failure: explanation and standards. White paper 78
  • Guerriero V (2012) Power law distribution: method of multiscale inferential statistics. J Modern Math Frontier 1(1): 21–28
  • Kelly A, Harris M (1983) Industrial maintenance management. Editorial Fundación REPSOL Publicaciones and printed at Gráficas del Mar, Madrid, Spain
  • Ríos S (1952) Introducción a los Métodos de la Estadística (vol. I). Industrias Gráficas España
  • Ríos S, Introducción a los Métodos de la Estadística (vol. II). Industrias Gráficas España
  • Ríos S (1973) Métodos estadísticos. Ediciones del Castillo, Spain
  • Serrano JC (2013) Comparison of methods for determining Weibull parameters for wind power generation. Scientia Et Technica 18(2): 315–320
  • Kececioglu D (2002) Reliability and life testing handbook (Vol. 2). DEStech Publications, Inc.
  • Meeker WQ, Escobar LA (2014) Statistical methods for reliability data. John Wiley & Sons
  • Nelson WB (2009) Accelerated testing: statistical models, test plans, and data analysis (Vol 344). Wiley
  • Kumar R, Ghosh AK (2017) Mines systems safety improvement using an integrated event tree and fault tree analysis. J Inst Eng India Ser D 98: 101–108
  • Anderson RT (1976) Reliability design handbook (No. RAC-RDH-376). Reliability Analysis Center Griffiss AFB NY
  • Dirección General de Protección Civil y Emergencias (1994) Guía Técnica metodologías para el análisis de riesgos: Visión general. Ministry of the Interior. Spain
  • Ebeling CE (2004) An introduction to reliability and maintainability engineering. Tata McGraw-Hill Education
  • Evans JR, Lindsay WM (2002) The management and control of quality (Vol 5, pp 115–128). Cincinnati, OH: South-Western
  • Gryna FM, Juran JM (1999) Quality and costs. McGraw-Hill, New York
  • Haasl DF, Roberts NH, Vesely WE, Goldberg FF (1981) Fault tree handbook (No. NUREG-0492). Nuclear Regulatory Commission, Washington, DC (USA). Office of Nuclear Regulatory Research
  • Hirano H (1996) 5S for operators: 5 pillars of the visual workplace. SteinerBooks
  • JA1012 SAE (2002) A guide to the reliability-centered maintenance (RCM) standard. The Engineering Society for Advancing Mobility Land, Sea. Air, and Space, Warrendale, PA
  • Kelly A (1994) Maintenance. England. Butterworth Heinemann
  • Trejo E (2002) Root cause analysis and problem solving.
  • Michalsky WJ (1998) Top tools for manufacturers (Portland, OR)
  • Moubray J (1997) Reliability-centered maintenance. Industrial Press Inc
  • Nowlan FS, Heap HF (1978) Reliability-centered maintenance. United Air Lines Inc., San Francisco Ca
  • Smith AM, Hinchcliffe GR (2003) RCM–Gateway to world class maintenance. Butterworth-Heinemann
  • Borda J (1990) Advanced maintenance techniques. Editions Deusto, Bilbao
  • Fitzsimmons JA, Fitzsimmons MJ, Bordoloi S (2008) Service management: operations, strategy, and information technology. McGraw-Hill, New York, NY, p 4
  • Gaither N, Frazier G (2002) Operations management. South-Western/Thomson Learning
  • Krajewski LJ, Ritzman LP (2005) Operations management: processes and value chains. Prentice Hall
  • Shenoy GV, Srivastava UK (1986). Operations research for management. New Age Int
  • Gross D (2008) Fundamentals of queueing theory. Wiley
  • Little JD (1961) A proof for the queuing formula: L=λ W. Oper Res 9(3): 383–387
  • Chary SN (1988) Production and operations management. Tata McGraw-Hill
  • García-Sabater JP, Maheut J (2011) Operations research models and methods. Procedures for Thinking. Spain, Investigation Group ROGLE, 20112012, 42–44
  • Kumar SA, Suresh N (2009) Operations management. New Age Int
  • Morse PM (2004) Queues, inventories and maintenance: the analysis of operational systems with variable demand and supply. Courier Corporation
  • Ríos S (1973) Métodos estadísticos. Ediciones del Castillo. Spain
  • Shenoy GV, Srivastava UK (1986) Operations research for management. New Age Int
  • García-Sabater JP, Maheut J (2011) Operations research models and methods. Procedures for Thinking. Spain, Investigation Group ROGLE 20112012: 42–44
  • Borda J (1990) Técnicas de mantenimiento avanzado y competitividad industrial. Ediciones Deusto, Bilbao
  • Dalley RJ (1991) An overview of ferrography and its use in maintenance. In: Predictive maintenance seminar
  • Kelly A (1998) Industrial maintenance management. Madrid: Fundación Repsol. ISBN: 8492350601
  • Scheffer C, Girdhar P (2004) Practical machinery vibration analysis and predictive maintenance. Elsevier
  • Dhillon BS (2002) Engineering maintenance. A modern approach. Boca Raton: CRC Press, 2002. ISBN: 1587161427
  • Hashemian HM, Bean WC (2011) State-of-the-art predictive maintenance techniques. IEEE Trans Instrum Meas 60(10): 3480–3492
  • Labaien E, Carrasco G (2009) Predictive maintenance: Course on predictive maintenance and its different application techniques. PREDICTOVE Ingenieros SL, Guipúzcoa
  • Lu B, Durocher DB, Stemper P (2009) Predictive maintenance techniques. IEEE Indus Appl Mag 15(6)
  • Mobley RK (2002) An introduction to predictive maintenance. Butterworth-Heinemann
  • Smith DJ (2017) Reliability, maintainability and risk: practical methods for engineers. Butterworth-Heinemann