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Pilot - SIEMENS SIMATIC Products Quality Improvements

Project: QU4LITY

Updated at: 01-02-2024

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Manufacturing performance characteristics
Economic sustainability
Comment:

Concerning the ecological and economic operation of a factory, data analytics tools in combination with simulation approaches can contribute to improved throughput, bottleneck-reduction, or both for the production line. Through the optimization of the processes, production execution on organization and logistic level can be optimized by reducing the amount of material within the system, the lead times, or both.

Product quality - Quality assurance
Parts Per Million (PPM)
To be
Comment:

improve false positive rate by 20%.  Measured as false positives rate, actual value is considered confidential.

Lead time
Environmental sustainability
Material efficiency
Waste minimisation
Overarching Manufacturing Performance KPIs
Overal Equipment Effectiveness (OEE)

Pilot - PHILIPS OneBlade shaving unit production line

Project: QU4LITY

Updated at: 01-02-2024

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Manufacturing performance characteristics
Economic sustainability
Product quality - Quality assurance
OEE (Q) - Quality
To be As is
Comment:

Quality- Fall Off Rate, from 95% (as is) to 98,5% (to be)

Process reliability - dependability - availability
Availability - OEE (A)
As is To be
Comment:

Improve OEE (A) from 80%  (as is) to 87% (to be)

Production speed - OEE (P)
As is To be
Comment:

Deviation on cycle-time, from 98% (as is) to 99% (to be)

Social sustainability
Increasing human achievements in manufacturing systems
Remaining challenge
Comment:

Sintef delivered information to put “soft” part of organization also in daily management structure. Nowadays the KPI’s are hard technical related. Other topic is to use digital tools for operator- whiteboard sessions. People claim they are more digital oriented at home compared to work floor.

Stakeholder-training Logbook: No results obtained yet, as the implementation is not far enough to train stakeholders.

Overarching Manufacturing Performance KPIs
Overal Equipment Effectiveness (OEE)
As is To be
Comment:

Improve OEE from 75%  (as is) to 85% (to be)

Availability - OEE (A)
As is To be
Comment:

Improve OEE (A) from 80%  (as is) to 87% (to be)

Production speed - OEE (P)
As is To be
Comment:

Deviation on cycle-time, from 98% (as is) to 99% (to be)

OEE (Q) - Quality
To be As is
Comment:

Quality- Fall Off Rate, from 95% (as is) to 98,5% (to be)

OPTIMAL platform

Project: OPTIMAL

Updated at: 30-01-2024

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Manufacturing performance characteristics
Economic sustainability
Comment:

The OPTIMAL project will integrate for the first-time different laser lithography technologies, quality monitoring systems and processes in one platform for the development of structures with high depth, dimensions in the range from 100 nm to sub-mm, 2D&3D shape on flat surface, combining parallel & serial patterning, no need for external treatments on samples, increased speed and large area. 

Product quality - Quality assurance
OEE (Q) - Quality
First Pass Yield (FPY)
Lead time
Flexibility
Productivity
Production speed - OEE (P)
Environmental sustainability
Comment:

By accelerating and upscaling the structuring process, the OPTIMAL project will increase the process efficiency and yield, which will allow for “first time right” fabrication of the required structures, lower consumption of resources, waste reduction, lower CO2 emissions, increase of productivity, and cost reduction. 

Material efficiency
Waste minimisation
Reducing emissions in manufacturing processes
Reducing the consumption of energy
Overarching Manufacturing Performance KPIs
Overal Equipment Effectiveness (OEE)
Production speed - OEE (P)
OEE (Q) - Quality

Numerical modelling and simulation of heat treating processes

Project: CloudiFacturing

Updated at: 12-01-2024

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Manufacturing performance characteristics
Economic sustainability
Comment:

It is expected that new nozzle design and thus new water quench will be available for the customers in 5 years time. It is expected that those new products will attract new clients: 5 new contracts in 1 year increasing to 10 new contracts in 5 years, which will increase the turnover of Ferram by 500k Euros in 1 year and 3,5 million Euros in 5 years after the experiment end.

IT4Innovations as DIH and resource provider is expecting the experiment to increase their innovation potential and improve their competitiveness. They are also expecting to increase the number of customers: It is expected that 2 new customers will be attracted due to new capabilities within 5 years after the experiment and will create new sources of revenue.

Social sustainability
Increasing human achievements in manufacturing systems
Comment:

For end user Ferram, it is expected that the experiment will increase in the turnover and in the number of new jobs created. Outcomes of the experiment will allow Ferram to develop a new generation of water quenches which allow for heat treatment of profiles that are hard or even impossible to cool down with existing water quenches today. This will bring a competitive advantage to Ferram and thus increase the number of customers.

MARKET4.0 Metal domain DATA SPACE based on IDS RA

Project: MARKET4.0

Updated at: 12-01-2024

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Manufacturing performance characteristics
Economic sustainability
Product quality - Quality assurance
Comment:

Several services in the M4.0 portal permit the analisis and optimization of the equipment parameters in order to produce zero defect parts.

Lead time
Comment:

M4.0 reduces the required time to select the most suitable equip0ment for a manufacturing process.

Flexibility
Comment:

M4.0 is a holistic tool valid for all type of manufacturing processes (grinding, milling, bending, cutting, additive manufacturing….)

Supply chain and value network efficiency
Comment:

Connecting customers and providers

Productivity
Comment:

In two aspects: on the one hand productivity in the selection of the equipment (faster and reliable). On the other, productivity of the equipment in place thanks to specific services that analyse the productivity on eadh manufacturing process.

Process reliability - dependability - availability
Comment:

The data transaction is reliable as it is based on IDS RA

Business development - Access to new markets
Comment:

Of products and services

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