Handbook of Maintenance Management and Engineering

2009
ISBN: 978-1-4471-5762-5
Verlag: Springer

Buch, Englisch, 741 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1147 g

To be able to compete successfully both at national and international levels, production systems and equipment must perform at levels not even thinkable a decade ago. Requirements for increased product quality, reduced throughput time and enhanced operating effectiveness within a rapidly changing customer demand environment continue to demand a high maintenance performance. In some cases, maintenance is required to increase operational effectiveness and revenues and customer satisfaction while reducing capital, operating and support costs. This may be the largest challenge facing production enterprises these days. For this, maintenance strategy is required to be aligned with the production logistics and also to keep updated with the current best practices. Maintenance has become a multidisciplinary activity and one may come across situations in which maintenance is the responsibility of people whose training is not engineering. This handbook aims to assist at different levels of understanding whether the manager is an engineer, a production manager, an experienced maintenance practitioner or a beginner. Topics selected to be included in this handbook cover a wide range of issues in the area of maintenance management and engineering to cater for all those interested in maintenance whether practitioners or researchers. This handbook is divided into 6 parts and contains 26 chapters covering a wide range of topics related to maintenance management and engineering.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Ben-Daya, Mohamed

Duffuaa, Salih O.

Ait-Kadi, Daoud

Raouf, Abdul

Knezevic, Jezdimir

Fachgebiete

• Technische Wissenschaften Technik Allgemein Technische Zuverlässigkeit, Sicherheitstechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Industrielle Qualitätskontrolle
• Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Technische Wissenschaften Technik Allgemein Betriebswirtschaft für Ingenieure
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen

Inhaltsverzeichnis

Maintenance Organization.- Maintenance Organization.- Maintenance Productivity and Performance Measurement.- Methods and Tools in Maintenance.- Failure Statistics.- Failure Mode and Effect Analysis.- Maintenance Control Systems.- Maintenance Control.- Guidelines for Budgeting and Costing Planned Maintenance Services.- Simulation Based Approaches for Maintenance Strategies Optimization.- Maintenance Planning and Scheduling.- Maintenance Forecasting and Capacity Planning.- Integrated Spare Parts Management.- Turnaround Maintenance.- Maintenance Planning and Scheduling.- Models for Production and Maintenance Planning in Stochastic Manufacturing Systems.- Maintenance Strategies.- Inspection Strategies for Randomly Failing Systems.- System Health Monitoring and Prognostics – A Review of Current Paradigms and Practices.- Applied Maintenance Models.- Reliability Centered Maintenance.- Total Productive Maintenance.- Warranty and Maintenance.- Delay Time Modeling for Optimized Inspection Intervals of Production Plant.- Integrated E-maintenance and Intelligent Maintenance Systems.- Maintainability and System Effectiveness.- Maintainability and System Effectiveness.- Maintenance Safety, Environment and Human Error.- Safety and Maintenance.- Maintenance Quality and Environmental Performance Improvement: An Integrated Approach.- Industrial Asset Maintenance and Sustainability Performance: Economical, Environmental, and Societal Implications.- Human Reliability and Error in Maintenance.- Human Error in Maintenance – A Design Perspective.

Über Autor(innen)

Dr Mohamed Ben-Daya has been a professor in the Department of Systems Engineering at King Fahd University of Petroleum and Minerals in Dhahran, Saudi Arabia, since 1999. He gained his PhD in Operations Research in 1988 from Georgia Institute of Technology, USA, where he also gained his MSc in 1984. Dr Ben-Daya’s research interests are: mathematical programming; production and inventory control; scheduling; and maintenance engineering and quality control.

Dr Salih O. Duffuaa has been a professor in the Department of Systems Engineering at King Fahd University of Petroleum and Minerals in Dhahran, Saudi Arabia, since 1994. His research interests include: mathematical modelling; network flow; mathematical programming; quality assurance and control; maintenance engineering; and management optimization of quality and maintenance systems. Dr Duffuaa gained his PhD in Operations Research in 1982 from the University of Texas at Austin, USA.

Dr Abdul Raouf has been a professor at the Institute of Management and Technology, University of Management and Leadership in Lahore, Pakistan, since 2000. He gained his PhD from the University of Windsor.

Dr Jezdimir Knezvic established the self-financing centre for Management of Industrial Reliability, Cost and Effectiveness (MIRCE) at Exeter University in 1991, where he is still a professor. He has contributed to over 300 publications worldwide including books, papers and reports. Dr Knezvic gained his Bachelors degree, Masters degree and PhD from the University of Belgrade.

Dr Daoud Ait-Kadi has been a professor in the Department of Mechanical Engineering at the Université Laval, Sainte-Foy, Quebec, since 1990. He gained his PhD from the Université de Montréal in 1985. Dr Ait-Kadi’s research interests include: design and control of production systems; optimization of themaintenance and reliability systems subject to random failures; optimization of a system’s life cycle; development of advanced technologies for the design and control of supply chains in a probabilistic context; optimization of validation texts for the reliability of innovative systems; and reliability.