More Reliable Profitable and Competitive Production via Effective e-Maintenance : A Case Study
作者： Basim Al-Najjar
DOI: 10.1007/978-3-319-06966-1_5
关键词:
摘要: Profitable production demands continuously improved maintenance decision accuracy for reducing/avoiding failures and unplanned stoppages due to their consequences. More accurate decisions prolong life length of components, consequently machines, maintain the running longer. When a condition-monitoring (CM) value exceeds significant (warning) level, it clear understanding what happened how will develop in next future avoid failures. In addition CM reliable information concerning probability failure, residual lifetime, when is most profitable time conducting maintenance. Companies strive reduce cost order increase possibility offering customers lower prices generating additional competitive advantages. But applying new technologies enhancing maintenance, performances, company competitiveness counters many problems industry. this paper, innovative e-maintenance support system (eMDSS) introduced; facing successful implementation eMDSS based on case study are introduced discussed. Solutions suggested offers unique opportunity achieve just dynamic cost-effective by selecting
springer.com
sci-hub.st 参考文章(10)
Imad Alsyouf, Basim Al-Najjar, Just in time maintenance : A way to improve companies´competitiveness First International Conference on Performance Measures, Benchmarking and Best Practices in New Economy (Business Excellence '03), 10-13, 2003,Guimarães, Portugal. pp. 596- 603 ,(2003)
Basim Al-Najjar, A Computerized model for assessing the return on investment in maintenance; following up maintenance contribution in company profit Engineering Asset Lifecycle Management. pp. 137- 145 ,(2010) , 10.1007/978-0-85729-320-6_16
Amik Garg, S.G. Deshmukh, Maintenance management: literature review and directions Journal of Quality in Maintenance Engineering. ,vol. 12, pp. 205- 238 ,(2006) , 10.1108/13552510610685075
Basim Al-Najjar, The lack of maintenance and not maintenance which costs: A model to describe and quantify the impact of vibration-based maintenance on company's business International Journal of Production Economics. ,vol. 107, pp. 260- 273 ,(2007) , 10.1016/J.IJPE.2006.09.005
Mahantesh Nadakatti, A. Ramachandra, A.N. Santosh Kumar, Artificial intelligence‐based condition monitoring for plant maintenance Assembly Automation. ,vol. 28, pp. 143- 150 ,(2008) , 10.1108/01445150810863725
THOMAS W. SLOAN, J. GEORGE SHANTHIKUMAR, COMBINED PRODUCTION AND MAINTENANCE SCHEDULING FOR A MULTIPLE‐PRODUCT, SINGLE‐ MACHINE PRODUCTION SYSTEM Production and Operations Management. ,vol. 9, pp. 379- 399 ,(2009) , 10.1111/J.1937-5956.2000.TB00465.X
Dragan Djurdjanovic, Jay Lee, Jun Ni, Watchdog agent - An infotronics-based prognostics approach for product performance degradation assessment and prediction Advanced Engineering Informatics. ,vol. 17, pp. 109- 125 ,(2003) , 10.1016/J.AEI.2004.07.005
Mariela Cerrada, Juan Cardillo, Jose Aguilar, Raúl Faneite, Agents-based design for fault management systems in industrial processes Computers in Industry. ,vol. 58, pp. 313- 328 ,(2007) , 10.1016/J.COMPIND.2006.07.008
Chuang Fu, Lu-Qing Ye, Yuan-Chu Cheng, Yong-Qian Liu, Benoi Iung, MAS-based model of intelligent control-maintenance-management system (ICMMS) and its application international conference on machine learning and cybernetics. ,vol. 1, pp. 376- 380 ,(2002) , 10.1109/ICMLC.2002.1176778
Kenneth Holmberg, Adam Adgar, Aitor Arnaiz, Erkki Jantunen, Julien Mascolo, Samir Mekid, E-maintenance ,(2010)