Industry4 : current readiness

Current number of respondents: 358

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

Strategy and organisation

Readiness level	Level 1 Beginner	Level 2 Intermediate	Level 3 Experienced	Level 4 Expert	Don't know	Not relevant
Degree of strategy implementation	Industry 4 is recognised at departmental level but is not integrated into the strategy	Industry 4 is included in the business strategy	Industry 4 strategy has been communicated to the business and is widely understood	Industry 4 strategy has been implemented across the business	Don't know	Not relevant
Measurement	KPIs are not focused around Industry 4	Structured set of business metrics exist, with some measurement of Industry 4 drivers	Industry 4 metrics are widely understood in the business and used in monthly reporting	Business metrics and personal development plans are focused around Industry 4 objectives	Don't know	Not relevant
Investments	Initial Industry 4 investments in one business area	Industry 4 investments in more advanced business areas	Industry 4 investments in multiple business areas	Industry 4 investments across the entire business	Don't know	Not relevant
People capabilities	Employees have little or no experience with digital technologies	Technology focused areas of the business have employees with some digital skills	Developed digital and data analysis skills across most areas of the business, e.g. production	Leading edge digital and analytics skills across the business	Don't know	Not relevant
Collaboration	The business operates in functional silos	There is limited interaction between departments, e.g. S&OP process	Departments are open to cross functional collaboration	Departments are open to cross company collaboration to drive improvements	Don't know	Not relevant
Leadership	Leadership team do not recognise the value of Industry 4 investments	Leadership team are investigating potential Industry 4 benefits	Leadership team recognise the financial benefits to be obtained through Industry 4 and are developing plans to invest	Widespread support for Industry 4 within both the leadership team and across the wider business	Don't know	Not relevant
Finance	No sizeable Industry 4 investment	No ongoing review of cost/benefit analysis for Industry 4 investment	Annual cost/benefit analysis of Industry 4 investment	Quarterly cost/benefit analysis of Industry 4 investment	Don't know	Not relevant

Supply chain