Advanced Maintenance Modelling for Asset Management: Techniques and Methods for Complex Industrial Systems

ISBN-13: 9783319863092 / Angielski / Miękka / 2018 / 467 str.

Adolfo Crespo Marquez; Vicente Gonzalez-Prida Diaz; Juan Francisco Gomez Fernandez

Spis treści

Part I: Introduction.- Chapter 1: Asset Management in the Context of the Industry 4.0.- Part II: A Changing Asset Management Framework.- Chapter 2: A Maintenance Management Framework Based on PAS 55.- Chapter 3: The Integration of Open Reliability, Maintenance and Condition Monitoring Management Systems.- Chapter 4: Prognostics and Health Management in Advanced Maintenance Systems.- Chapter 5: A Framework for Effective Management of CBM Programs.- Part III: Pursuing High Management Effectiveness in a Dynamic Environment.- Chapter 6: Criticality Analysis for Maintenance Purposes.- Chapter 7: AHP Method Adapted to a Changing Environment.- Chapter 8: Reliability Stochastic Modeling for Repairable Physical Assets. Case Study Applied to the Chilean Mining.- Chapter 9: Economic Impact of a Failure Using Life Cycle Cost Analysis.- Part IV: Advanced Methods and Techniques to Improve Management Efficiency.- Chapter 10: On-line Reliability and Risk to Schedule the Preventive Maintenance in Network Utilities.- Chapter 11: Customer-oriented Risk Assessment in Network Utilities.- Chapter 12: Analysis of Dynamic Reliability Surveillance.-Part V: The Need for Innovation in Assessment and Control.- Chapter 13: A Quantitative Graphical Analysis to Support Maintenance.- Chapter 14: Case Study of Graphical Analysis for Maintenance Management.- Chapter 15: A Graphical Method to Support Operation Performance Assessment.- Chapter 16: A Practical Method for the Maintainability Assessment.- Part VI: Continuous Improvement Through Emergent Process and Technologies.-Chapter 17: Value-driven Engineering of E-Maintenance Platforms.- Chapter 18: Assistance to Dynamic Maintenance Tasks by Ann Based Models.- Chapter 19: Availability Model Under Overcapacity and Load Sharing Restrictions.- Chapter 20: Influence of the Input Load on the Reliability of the Grinding Line.- Part VII: Results and Conclusions.- Chapter 21: Summary of Result and Conclusions.

O autorze

Vicente Gonzalez-Prida is PhD (Summa Cum Laude) in Industrial Engineering by the University of Seville, and Executive MBA (First Class Honors) by the Chamber of Commerce. He has been honoured with the following awards and recognitions:

-          Extraordinary Prize of Doctorate by the University of Seville;

-          National Award for PhD Thesis on Dependability by the Spanish Association for Quality;

-          National Award for PhD Thesis on Maintenance by the Spanish Association for Maintenance;

-          Best Nomination from Spain for the Excellence Master Thesis Award bestowed by the EFNSM (European Federation of National Maintenance Societies).

 He is member of the Club of Rome (Spanish Chapter) and has written a multitude of articles for international conferences and publications. His main interest is related to industrial asset management, specifically the reliability, maintenance and after-sales organization. He currently works as Program Manager in the company General Dynamics - European Land Systems.  He shares his professional performance with the development of research projects in the Department of Industrial Organization and Management at the University of Seville.

Juan Francisco Gómez Fernández is PhD in Industrial Management and Executive MBA. He is currently part of the Spanish Research & Development Group in Industrial Management of the Seville University and a member in knowledge sharing networks about Dependability and Service Quality. He has authored publications and collaborations in journals, books and conferences, nationally and internationally. In relation to the practical application and experience, he has managed network maintenance and deployment departments in various national distribution network companies, both from private and public sector. He has conduced and participated in engineering and consulting projects for different international companies, related to Information and Communications Technologies, Maintenance and Asset Management, Reliability Assessment, and Outsourcing services in Utilities companies.

He has combined his business activity with academic life as a associate professor (PSI) in Seville University, being awarded as Best Thesis and Master Thesis on Dependability by National and International Associations such as EFNSM (European Federation of National Maintenance Societies) and Spanish Association for Quality.

Blurb

This book promotes and describes the application of objective and effective decision making in asset management based on mathematical models and practical techniques that can be easily implemented in organizations. This comprehensive and timely publication will be an essential reference source, building on available literature in the field of asset management while laying the groundwork for further research breakthroughs in this field. The text provides the resources necessary for managers, technology developers, scientists and engineers to adopt and implement better decision making based on models and techniques that contribute to recognizing risks and uncertainties and, in general terms, to the important role of asset management to increase competitiveness in organizations.