

Date: 3 April 2023, Authors & Review: SSAMM, Review: J. Stoker
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Reference Articles
Industry 5.0 Related
- Maturity assessment for Industry 5.0: A review of existing maturity models
- Industry 5.0: Past, Present and Near Future
- IR5.0 Human-Centric underpinned with 2022 Industrial Maintenance study
- Human in the loop: Industry 4.0 vs. Industry 5.0: Co-existence, Transition, or a Hybrid
- Industry 5.0 further explained
- Industry 5.0 and Society 5.0: Comparison, complementation and co-evolution
- Outlook on human-centric manufacturing towards Industry 5.0
- Maintenance 5.0: Towards a Worker-in-the-Loop Framework for Resilient Smart Manufacturing
- Industry 5.0: Prospect and retrospect
- Industry 5.0 definitions
- Be informed…. we are already in the Industry 5.0 timeframe
IR4.0 & IR4.0 Readiness
- An Industry 4.0 readiness Assessment tool
- Intelligent warehouse in Industry 4.0
- Maintenance Performance in the Age of Industry 4.0
- Simulating dynamic RUL based CBM scheduling
- Maintenance Analytics – The New Know in Maintenance
- Rethinking Maintenance Terminology for an Industry 4.0 Future
- Maintenance optimization in industry 4.0; Strategies, Information and the Reversed Data Pyramid
- An RUL-informed approach for Life Extension of high-value assets: Overview of LE practice
- Lean Maintenance 4.0: implementation for aviation industry
- Developing prescriptive maintenance strategies in the aviation industry
- Development of flexible Predictive Maintenance systems in the context of industry 4.0: the implementation framework
Digital Twin Related
- Reflection: Disruptive Innovation Asset & Maintenance Management
- Collecting Real-Time Data for Predictive Maintenance
- Lean Maintenance 4.0: implementation for aviation industry
- A digital twin-based decision analysis framework for operation and maintenance of tunnels
- Digital building twins and blockchain for performance-based (smart) contracts
- IoT for predictive assets monitoring and maintenance: An implementation strategy
- About auditing in the field of Asset Management
- A Digital Twin Design for Maintenance Optimization
- The difference between Machine Learning(ML) and Deep Learning (DP)
- Digital Twin Definitions: a time perspective
- Definition Digital Twin
- Approach for a Holistic Predictive Maintenance Strategy by Incorporating a Digital Twin
- Data-driven failure mode and effect analysis (FMEA) to enhance maintenance planning
- Advances of Digital Twins for Predictive Maintenance
- The 250 classifications of Digital Twin technology
Maintenance Management
- Decision-based framework for Predictive Maintenance Technique selection in Industry 4.0
- Data-driven failure mode and effect analysis (FMEA) to enhance maintenance planning
- Recent advances and trends of predictive maintenance from data driven machine prognostics perspective
- Data-driven decision-making for equipment maintenance: Data-driven RCM
- Toward cognitive predictive maintenance: A survey of graph-based approaches
- A deep learning predictive model for selective maintenance optimization
- Inspection schedule for prognostics with uncertainty management
- Development of Digital Twin for Intelligent Maintenance of Civil Infrastructure
- Risk Based Inspection Framework part of evolutions in Maintenance Management; Framework and Process
- KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0
- Sharping the mind: Find The Sweet spot
- The Bathtub Curve Fallacy
- The framework for data-driven maintenance planning and problem-solving in maintenance communities
- The Maintenance Body of Knowledge
- Decision Framework for Predictive Maintenance Method Selection
- Maintenance Engineering defined
- The Maintenance 5.0 Framework
- The Maintenance 5.0 Cycle
Interpretation Article’s
- Line of Sight: Asset Management in the aligned timeframe
- Interpretation Figure 1 ISO55000
- The elephant in the room
- Asset & Maintenance Management amidst the Industry 5.0 timeframe
- Revised A&MM The Big Picture
- Article IR5.0 Human-Centric
- Explaining Predictive Maintenance using the KISS-Principle
- Asset Management 5.0: Balancing Risk, Performance and Value with IR5.0
- Food for Thoughts: ChatGPT in the field of Asset & Maintenance Management.
Additional Pages To Consult
- Sustainable Asset Management
- The Maintenance Engineer
- The Maintenance Manager
- The Asset Manager
- Industry 5.0
- Circular Asset Management