scholarly journals Operational Supply Chain Planning Method for Integrating Spare Parts Supply Chains and Intelligent Maintenance Systems

2017 ◽  
Vol 50 (1) ◽  
pp. 12428-12433 ◽  
Author(s):  
Eduardo F. Israel ◽  
André Albrecht ◽  
Enzo M. Frazzon ◽  
Bernd Hellingrath
Author(s):  
Eduardo Francisco Israel ◽  
Enzo Morosini Frazzon ◽  
Ann-Kristin Cordes ◽  
Bernd Hellingrath ◽  
André Albrecht Lopes

Procedia CIRP ◽  
2014 ◽  
Vol 25 ◽  
pp. 192-198 ◽  
Author(s):  
Thiago Regal da Silva ◽  
Philipp Saalmann ◽  
Ann-Kristin Cordes ◽  
Anderson Giacomolli ◽  
Carlos Eduardo Pereira ◽  
...  

Procedia CIRP ◽  
2016 ◽  
Vol 41 ◽  
pp. 270-275 ◽  
Author(s):  
Philipp Saalmann ◽  
Marcos Zuccolotto ◽  
Thiago Regal da Silva ◽  
Carolin Wagner ◽  
Anderson Giacomolli ◽  
...  

2014 ◽  
Vol 38 (1) ◽  
pp. 147-154 ◽  
Author(s):  
Enzo Morosini Frazzon ◽  
Eduardo Israel ◽  
André Albrecht ◽  
Carlos Eduardo Pereira ◽  
Bernd Hellingrath

2012 ◽  
Vol 45 (6) ◽  
pp. 1017-1022 ◽  
Author(s):  
Danúbia Espíndola ◽  
Enzo M. Frazzon ◽  
Bernd Hellingrath ◽  
Carlos E. Pereira

2019 ◽  
Vol 28 (1) ◽  
pp. 31-42 ◽  
Author(s):  
Enzo M. Frazzon ◽  
Tulio H. Holtz ◽  
Lucas S. Silva ◽  
Matheus C. Pires

Abstract Production systems are composed of increasingly complex components with unique specifications. Therefore, since holding safety stocks of each component would be prohibitive, maintenance activities rely on the proper delivery of spare parts, making it available at the right time and place. Equipments monitored by sensors as well as the transmission of sensors data to the spare part supply chain represent an interesting venue for dealing with this contemporaneous industrial challenge. In this direction, this paper applies a simulation model derived from a real world scenario to analyze the performance of the collaboration between condition-based maintenance – also known as intelligent maintenance systems – and spare parts supply chains, in comparison with existing maintenance approaches. Obtained results substantiate the potential of monitoring, treating and transmitting equipment condition data to ensure cost-effective maintenance and production systems availability.


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