Del i serien Springer Series in Reliability Engineering

Replacement Models with Minimal Repair

Inbunden, Engelska, 2011

AvLotfi Tadj,M.-Salah Ouali,Soumaya Yacout,Daoud Ait-Kadi

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Replacement Models with Minimal Repair is a collection of works by several well-known specialists on the subject of minimal repair in replacement policies. It gives an exhaustive list of minimal repair models for the effective planning of minimal repair and maintenance actions.Written in an engaging style, Replacement Models with Minimal Repair balances complex mathematical models with practical applications. It is divided into six parts that cover:mathematical modeling of minimal repair;preventive maintenance models and optimal scheduling of imperfect preventive maintenance activities;a new warranty servicing strategy with imperfect repair;mathematical models combining burn-in procedure and general maintenance policies;methods for parameters' estimation of minimal repair models; andproduct support.Replacement Models with Minimal Repair is for anyone with an interest in minimal repair and its impact on maintenance policies and strategies. It is a particularly useful resource for researchers, practitioners, and graduate students.

Produktinformation

Utgivningsdatum2011-04-01
Mått155 x 235 x 19 mm
Vikt605 g
FormatInbunden
SpråkEngelska
SerieSpringer Series in Reliability Engineering
Antal sidor276
Upplaga2011
FörlagSpringer London Ltd
ISBN9780857292148

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Lotfi Tadj is Professor of Decision Sciences at the Department of Management and E-Business at the American University in Dubai (United Arab Emirates). He holds a BSc in Mathematics from the University of Algiers (Algeria), where he was also lecturer, an MSc in Applied Mathematics from Carnegie-Mellon University (USA) and a PhD in Operations Research from the Florida Institute of Technology (USA), where he was Research Assistant and then Adjunct Professor. M.-Salah Ouali is Associate Professor at the Department of Mathematical and Industrial Engineering in the Ecole Polytechnique de Montreal (Canada). He received his doctorate from the Institut Nationale Polytechnique de Grenoble (France). M.-Salah Ouali has also worked at the Ecole Nationale des Science Appliquees de Strasbourg (France), Universite Laval (Canada), the Ecole Nationale d'Ingenieurs de Metz (France) and the Ecole Nationale d'Ingenieurs de Tunis (Tunisia). Daoud Ait-Kadi is Professor at the Department of Mechanical Engineering at Universite Laval (Canada). Professor Ait-Kadi received his PhD in Computer Science and Operational Research, Industrial Engineering from the Universite de Montreal (Canada). He was Visiting Researcher at Renault in France and has also worked at the Facultes Universitaire Catholique de Mons (Belgium), North Carolina State University (USA), the Universite d'Artois a Bethune (France), the Universite de Sao Paulo (Brazil) and the Ecole Polytechnique Federale de Lausanne (Switzerland). Soumaya Yacout is Professor of Industrial Engineering at the Ecole Polytechnique de Montreal (Canada). She received her BSc and MSc from Cairo University (Egypt), and her doctorate from The George Washington University (USA). During her time at Cairo University she was Teaching and Research Assistant prior to becoming Assistant Professor of Industrial Engineering. She then moved to the Universite de Moncton (Canada), where she was Associate Professor of Industrial Engineering, before taking up her present position in 1999.

1. A Survey of Replacement Models with Minimal Repair.- 2. Information-based Minimal Repair Models.- 3. Minimal Repair Models with Two Categories of Competing Failure Modes.- 4. Preventive Maintenance Models: A Review.- 5. Optimal Schedules of Two Periodic Imperfect Preventive Maintenance Policies and Their Comparison.- 6. Warranty Servicing with Imperfect Repair for Products Sold with a Two-Dimensional Warranty.- 7. A Survey of Burn-in and Maintenance Models for Repairable Systems.- 8. Filtering and M-ary Detection in a Minimal Repair Maintenance Model.- 9. Efficient Product Support - Optimum and Realistic Spare Parts Forecasting.