Industry4 : current readiness
Current number of respondents: 408
Overall Industry 4 readiness levels
Companies are generally at an intermediate level (level 2) of Industry 4 readiness, with strategy and organisation being the least ready, and supply chain the most ready
There are three types of companies covered by the Industry 4 readiness. These are B2B (business to business), B2C (business to consumer) and Governments.
Products and services
| Readiness level | Level 1 Beginner |
Level 2 Intermediate |
Level 3 Experienced |
Level 4 Expert |
Don't know | Not relevant |
|---|---|---|---|---|---|---|
| Product customisation | Product allows for no individualisation, standardised mass production | Majority of products are made in large batch sizes with limited late differentiation | Products can be largely customised but still have standardised base | Late differentiation available for most make-to-order products (batch size 1) | Don't know | Not relevant |
| Digital features of products | Products show only physical value | Products show value only from intellectual property licensing | Products exhibit some digital features and value from intellectual property licensing | Products exhibit high digital features and value from intellectual property licensing | Don't know | Not relevant |
| Data-driven services | Data-driven services are offered without customer integration | Data-driven services are offered with little customer integration | Data-driven services are offered with customer integration | Data-driven services are fully integrated with the customer | Don't know | Not relevant |
| Level of product data usage | Data is not used | 0-20% of collected data is used | 20-50% of collected data is used | More than 50% of collected data is used | Don't know | Not relevant |
| Share of revenue | Data-driven services account for an initial share of revenue (<2.5%) | Data-driven services account for a moderate share of revenue (2.5-7.5%) | Data-driven services account for a significant share of revenue (7.5-10%) | Data-driven services play an important role in revenue (>10%) | Don't know | Not relevant |
Manufacturing and operation
| Readiness level | Level 1 Beginner |
Level 2 Intermediate |
Level 3 Experienced |
Level 4 Expert |
Don't know | Not relevant |
|---|---|---|---|---|---|---|
| Automation | Few machines can be controlled through automation | Some machines and system infrastructures can be controlled through automation | Most machines and system infrastructures can be controlled through automation | Machines and systems can be controlled completely through automation | Don't know | Not relevant |
| Machine and operation system integration (M2M) | Machines and systems have no M2M capability | Machines and systems are to some extent interoperable | Machines and systems are partially integrated | Machines and systems are fully integrated | Don't know | Not relevant |
| Equipment readiness for Industry 4 | Significant overhaul required to meet Industry 4 model | Some machines and systems can be upgraded | Machines already meet some of the requirements and can be upgraded where required | Machines and systems already meet all future requirements | Don't know | Not relevant |
| Autonomously guided workpieces | Autonomously guided workpieces are not in use | Autonomously guided workpieces are not in use, but there are pilots underway | Autonomously guided workpieces used in select-ed areas | Autonomously guided workpieces are widely adopted | Don't know | Not relevant |
| Self-optimising processes | Self-optimisation processes are not in use | Self-optimising processes are not in use, but there are pilots in more advanced areas of the business | Self-optimising processes are used in selected areas | Self-optimising processes are widely used | Don't know | Not relevant |
| Digital modelling | No digital modelling | Some processes use digital modelling | Most processes use digital modelling | Complete digital modelling used for all relevant processes | Don't know | Not relevant |
| Operations data collection | Data is collected manually when required, e.g. sampling for quality control | Required data is collected digitally in certain areas | Comprehensive digital data collection in multiple areas | Comprehensive automated digital data collection across the entire process | Don't know | Not relevant |
| Operations data usage | Data is only used for quality and regulatory purposes | Some data is used to control processes | Some data is used to control and optimise processes, e.g. predictive maintenance | All data is used not only to optimise processes, but also for decision making | Don't know | Not relevant |
| Cloud solution usage | Cloud solutions not in use | Initial solutions planned for cloud-based software, data storage and data analysis | Pilot solutions implemented in some areas of the business | Multiple solutions implemented across the business | Don't know | Not relevant |
| IT and data security | IT security solutions are planned | IT security solutions have been partially implemented | Comprehensive IT security solutions have been implemented with plans developed to close any gaps | IT security solutions have been implemented for all relevant areas and are reviewed frequently to ensure compliance | Don't know | Not relevant |