A Dynamic Maintenance Planning Framework Based on Fuzzy TOPSIS and FMEA: Application in an International Food Company

2015 ◽  
Vol 32 (3) ◽  
pp. 795-804 ◽  
Author(s):  
Hasan Selim ◽  
Mualla Gonca Yunusoglu ◽  
Şebnem Yılmaz Balaman
Keyword(s):  
Fuzzy Topsis ◽  
Maintenance Planning ◽  
Food Company ◽  
Planning Framework ◽  
Dynamic Maintenance

scholarly journals Automation of Predictive Maintenance Using Internet of Things (IoT) Technology at University-Based O&M Project

2021 ◽  
Vol 11 (7) ◽  
pp. 332-336
Author(s):  
James Ryan Fernandez ◽  
◽  
Yogi Tri Prasetyo ◽  
Satria Fadil Persada ◽  
A. A. N. Perwira Redi
Keyword(s):  
Internet Of Things ◽  
Mobile Applications ◽  
Performance Indicator ◽  
Predictive Maintenance ◽  
Fault Prediction ◽  
Maintenance Cost ◽  
Maintenance Planning ◽  
Significant Deterioration ◽  
Sustainable Operations ◽  
Planning Framework

Predictive Maintenance can be defined as a type of advanced maintenance that detects the onset of system degradation allowing causal stressors to be eliminated or controlled prior to any significant deterioration in component physical state. Thru Internet of Things (IoT) Technology, automation, and implementation of Predictive Maintenance are possible. The purpose of this study is to propose the implementation of Predictive Maintenance using IpT Technology at University-based Operation & Maintenance Project that aims to transform the current Key Performance Indicator (KPI) of PM to CM Ratio from 80:20 to 90:10. Six Sigma DMAIC Methodology and Data-Driven Predictive Maintenance Planning Framework were utilized as the methodology of this research. Research’s results show that KPI, 90:10 (PM to CM Ratio) is achievable and maintenance cost can significantly reduce from 25% to 30%. Other valuable benefits are return of investment (10X), elimination of breakdown (70 - 75%), reduction in downtime (35% - 45%) and increase of production (20% - 25%). The proposed concept can be utilized in other industries to achieve high customer satisfaction percentages, sustainable operations, fault prediction, and online monitoring using PC or mobile applications.

Dynamic maintenance planning of a hydro-turbine in operational life cycle

2020 ◽  
Vol 204 ◽  
pp. 107129 ◽  
Author(s):  
Ruopu Li ◽  
Ehsan Arzaghi ◽  
Rouzbeh Abbassi ◽  
Diyi Chen ◽  
Chunhao Li ◽  
...  
Keyword(s):  
Life Cycle ◽  
Maintenance Planning ◽  
Hydro Turbine ◽  
Operational Life ◽  
Dynamic Maintenance

Strategic planning in today's dynamic world

2005 ◽  
Vol 5 (2) ◽  
pp. 53-62
Author(s):  
Terrance M. Brueck
Keyword(s):  
Strategic Planning ◽  
Cause And Effect ◽  
Security Issues ◽  
Strategic Plans ◽  
Planning Framework ◽  
The Subject ◽  
New Framework

Utilities today must adapt quickly to complex changes in workforce, infrastructure, technology, and regulations, as well as outside factors of the economy, security issues, and societal trends. Linear, cause-and-effect strategic planning does not work well in today's world. Given these uncertainties, how can utilities develop meaningful and useful strategic plans? Faced with these challenges, a group of 18 leading international utilities, assisted through IWA, has developed new ways of strategic planning. This project, sponsored by AwwaRF and conducted by EMA, has created a dynamic and flexible strategic planning framework. A new framework, coupled with many of these utilities' experiences in strategic planning, is the subject of this paper.

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