Multi-level opportunistic predictive maintenance for multi-component systems with economic dependence and assembly/disassembly impacts

2021 ◽  
pp. 108055
Author(s):  
Duc-Hanh Dinh ◽  
Phuc Do ◽  
Benoit Iung
Keyword(s):  
Predictive Maintenance ◽  
Economic Dependence ◽  
Component Systems ◽  
Multi Level

Multi-level predictive maintenance for multi-component systems

2015 ◽  
Vol 144 ◽  
pp. 83-94 ◽  
Author(s):  
Kim-Anh Nguyen ◽  
Phuc Do ◽  
Antoine Grall
Keyword(s):  
Predictive Maintenance ◽  
Component Systems ◽  
Multi Level

scholarly journals Teacher Careers in Education Systems That Are Coherent for Learning: Choose and Curate Toward Commitment to Capable and Committed Teachers (5Cs)

2021 ◽  
Author(s):  
Yue-Yi Hwa ◽  
Lant Pritchett
Keyword(s):  
Student Learning ◽  
Teaching Profession ◽  
Status Quo ◽  
Academic Disciplines ◽  
Education Systems ◽  
School Enrolment ◽  
Middle Income ◽  
Wide Range ◽  
Component Systems ◽  
Multi Level

How can education authorities and organisations develop empowered, highly respected, strongly performance-normed, contextually embedded teaching professionals who cultivate student learning? This challenge is particularly acute in many low- and middle-income education systems that have successfully expanded school enrolment but struggle to help children master even the basics of reading, writing, and arithmetic. In this primer, we synthesise research from a wide range of academic disciplines and country contexts, and we propose a set of principles for guiding the journey toward an empowered, effective teaching profession. We call these principles the 5Cs: choose and curate toward commitment to capable and committed teachers. These principles are rooted in the fact that teachers and their career structures are embedded in multi-level, multi-component systems that interact in complex ways. We also outline five premises for practice, each highlighting an area in which education authorities and organisations can change the typical status quo approach in order to apply the 5Cs and realise the vision of empowered teaching profession.

A modularized framework for predictive maintenance scheduling

2011 ◽  
Vol 226 (4) ◽  
pp. 380-391 ◽  
Author(s):  
Ming-Yi You ◽  
Guang Meng
Keyword(s):  
Preventive Maintenance ◽  
Industrial Applications ◽  
Maintenance Scheduling ◽  
Predictive Maintenance ◽  
Scheduling Model ◽  
Component Systems ◽  
Maintenance Policies ◽  
The Individual ◽  
Maintenance Schedules ◽  
Dynamic Updating

This paper presents a modularized, easy-to-implement framework for predictive maintenance scheduling. With a modularization treatment of a maintenance scheduling model, a predictive maintenance scheduling model can be established by integrating components’ real-time, sensory-updated prognostics information with a classical preventive maintenance/condition-based maintenance scheduling model. With the framework, a predictive maintenance scheduling model for multi-component systems is established to illustrate the framework’s use; such a predictive maintenance scheduling model for multi-component systems has not been reported previously in the literature. A numerical example is provided to investigate the individual-orientation and dynamic updating characteristics of the optimal preventive maintenance schedules of the established predictive maintenance scheduling model and to evaluate the performance of these preventive maintenance schedules. It is hoped that the presented framework will facilitate the implementation of predictive maintenance policies in various industrial applications.

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