Innovative Characteristics
- IC01
Predictive maintenance in the production line of one of the most advanced water heaters in the world (UC01)
Unit: n/a
Market Status: No solution exists mixing predictive maintenance, adaptive maintenance scheduling and bottleneck analysis.
Project Objectives: Improve value stream by adding embedded AI maintenance devices; forecasting equipment failure; generating intelligent scheduling of maintenance times; and identifying and predicting bottlenecks.
Relative Significance: 15%
Achivements:
Scientific:
Paper [P12] (applied on [UA01C])
Paper [P11] (applied on [UA01C])
On-going PhD thesis about “equipment failure forecasting” (applied on [UC01A], [UC04A])
On-going PhD thesis about “degradation models” (applied on [UC01B], [UC04B])
On-going PhD thesis about “Bottleneck and DMAIC-PDCA” (applied on [UC01C])
Industrial: TBD
- IC02
Improvement of maintenance plans of injection molding machines (UC04)
Unit: n/a
Market Status: Several solutions for preventive maintenance. Very few for predictive with embedded AI.
Project Objectives: Improve maintenance plans by adding embedded AI maintenance devices; forecasting equipment failure and intelligent maintenance time scheduling.
Relative Significance: 15%
Achivements:
- IC03
Improvement of leakage test reliability of (gas) water heaters (UC02)
Unit: n/a
Market Status: Similar solutions but not for this particular problem.
Project Objectives: Reduce product rejections by validating (false) rejections with external sensors and predicting product rejections.
Relative Significance: 15%
Achivements:
- IC04
Improvement of quality control tests on equipment subject to external vibrations (UC03)
Unit: n/a
Market Status: Some solutions but none mixing AI and root cause analysis.
Project Objectives: Improve the product testing plans by determining product rejection root causes and forecasting product NOKs.
Relative Significance: 15%
Achivements:
Scientific:
- IC05
Frameworks for Equipment Failure Forecasting (FEFF)
Unit: n/a
Market Status: We haven’t found any comparable commercial solution.
Project Objectives: Produce a decentralized AI solution for predictive maintenance, adapted to the Portuguese context.
Relative Significance: 8%
Achivements:
- IC06
Frameworks for Adaptive Maintenance Time Scheduling (FAMTS)
Unit: n/a
Market Status: Some solutions but with several limitations.
Project Objectives: Produce an innovative preventive maintenance solution merging time based, condition based, and risk based techniques.
Relative Significance: 8%
Achivements:
- IC07
Frameworks for Bottleneck Identification and Prediction (FBIP)
Unit: n/a
Market Status: Innovative approach. No commercial solution exists.
Project Objectives: Produce a reusable solution for bottleneck detection and forecasting.
Relative Significance: 8%
Achivements:
- IC08
Frameworks for Product Rejection Validation and Forecasting (FPRVF)
Unit: n/a
Market Status: We haven’t found any comparable commercial solution.
Project Objectives: Produce a reusable solution for improving quality control process by rejection validation and forecasting.
Relative Significance: 8%
Achivements:
- IC09
Frameworks for NOK Prioritization and Root Cause (FNPRC)
Unit: n/a
Market Status: Innovative approach. No commercial solution exists.
Project Objectives: Produce a root cause system merging new techniques in Physics complex networks with telecommunication network techniques.
Relative Significance: 8%
Achivements:
Scientific:
Paper [P11] (applied on [UC01])
Paper [P10] (general RC approach)
Paper [P06] (theoretical methodology)
On-going MSc thesis about “optimal re-ordering of steps in quality control tests” (applied on [UC08])
On-going MSc thesis about “image classification of combustion cameras” (applied on [UC06])
On-going PhD thesis about “root cause analysis by network methods” (applied on [UC03])