Are you ready for Industry 4.0?

PEX Network has collaborated with real-time manufacturing analytics and MES software company Matics to understand the level of readiness of manufacturing companies for Industry 4.0.

Share your thoughts on shop floor digitalization, data collection and the impact of the Covid-19 pandemic on business continuity.

By completing the survey, you will enter our draw for a £200 ($250) Amazon voucher.

Question Title

* 1. Have you digitalized your shop floor operations?

Yes, fully – all pieces of equipment are connected

Yes, partially

Not yet – it is budgeted within a year

Not yet – we are planning to digitalize within three years

No – we are not planning to do so

Question Title

* 2. How do you collect data through sensors on the line? The data is collected on:

All elements on all lines

All elements across some lines

All lines - at the end of the line only

All lines - at the beginning and end of the line only

Data is not collected

We plan to install sensors on all lines/equipment

Question Title

* 3. Which data types are collected?

Counts

Full machine parameters

On/off

Rates

Data is not collected

Question Title

* 4. What level of real-time visibility do you have regarding shop floor status from the data you collect?

We have full visibility on all lines, broken down to key productivity loss drivers

We have basic real-time snapshot on what is working and what is not

We have no real-time visibility on the machines

Question Title

* 5. On a scale of one to ten, how much do you value the possibility of viewing your OEE losses and other KPIs in real time?

Question Title

* 6. For which purposes is the data collected used?

Periodic reporting and trend analysis

Live monitoring

Real-time notifications and calls-to-action

Advanced analytics and deep insights

Data is not collected

Other (please specify)

Question Title

* 7. What type of analytics are you running on the data to generate insights? (Please select all that apply)

Basic trend analysis

Statistical analysis

Machine learning and AI

All of the above

Data is not collected

Question Title

* 8. What sources are you combining data from to generate insights? (Please select all that apply)

Historical performance

Machine parameters

People

Product and production work order information

Production environmental sensors (e.g. temperature, pressure)

Data is not collected

Other (please specify)

Question Title

* 9. In which of the following areas do you use data analytics and insights today? (Please select all that apply)

Asset management

Customer access to information

Delivery planning

Energy efficiency

Improving safety

Material tracking

Production visibility

Quality improvement

Remote monitoring

Question Title

* 10. How frequently are data-based insights generated?

Upon specific request (manually)

Weekly/monthly reporting

Every day for daily review

At the end of the shift

During the shift (in real time) to guide day-to-day work