Digitalisation
Industry 4.0 is about …
vs .
Industry 5.0 is about …
Machine centered approach to autonomous manufacturing .
Recognize human as one of its components and tries to replace people .
Industrial IoT also called CPS . Mainly focusing on machine-to-machine communication
Automating systems and autonomous sub-systems Making data more available and transparent
People centered approach supported by robots and AI .
People stay responsible and technology is just in service of people .
Coworking between people , machines , and AI . Enhancing human decision-making and capabilities .
Using data to drive process improvements and competitive advantage
That means moving beyond Industry 4.0 to “ Industry 5.0 ”— an approach to digitalisation that puts people back in the centre of the picture . Industry 5.0 is focused on how people and machines work together to take advantage of the unique strengths of each :
• Machines ( algorithms ) are good at data storage , calculation , automation and combing through large data sets to search for patterns .
• People are needed for tasks involving insight , judgment , and nuanced decision-making .
An Industry 5.0 approach enables manufacturers in the process industry to take advantage of the benefits of digitalisation while avoiding the pitfalls . A people-centred digitalisation strategy draws on the insights and experiences of people working in the industry to create systems that are tailored to the specific needs of workers and managers . When adding a human-centric component to a digitalisation strategy , adoption is easier and faster because it has the end-users in mind .
What Is Industry 4.0 ?
Digitisation : Data and information can be exchanged freely and manipulated easily in digital formats .
Connectivity : Devices , sensors and systems are connected through networks or the cloud-based Industrial Internet of Things .
Automation : Machines ( robotics ) and software ( AI ) can take actions and make decisions independently of humans .
Cyber-Physical Systems ( CPS ): Industrial CPS : Data and machine components are integrated , adapting to conditions in real-time .
Algorithms can surface information and patterns that are difficult for humans to detect on their own , but ultimately , they can only follow their programming . That means algorithms are not well-positioned to respond to changing conditions and unanticipated shocks — such as the COVID-19 pandemic , unforeseen raw material shortages or regulatory changes . People are needed to respond to these challenges and align algorithmic activities with strategic priorities . By combining the strengths of both people and machines , we can make organisations safer , smarter and more resilient .
Shiftconnector ® : digital transformation for process industries
Process industries need a digital transformation strategy built around their unique needs and priorities . That ’ s why eschbach built Shiftconnector ® : the first shift handover software designed specifically for process manufacturers . The shift change represents one of the biggest opportunities for digital transformation in process industries . Maintaining the daily knowledge from operators is key to optimising plants with more efficiency and automation . The 24 / 7 production environment of process manufacturing requires tight alignment between shifts . Everyone needs to understand emerging problems , changing instructions , and evolving priorities to ensure plant safety , product quality and continuity of activities . Currently , many process manufacturers still rely on spreadsheets and stand-up meetings for shift handover . Important information is often overlooked or forgotten in these largely manual systems . A general manufacturing execution system ( MES ) can help , but the information is not always accessible and understandable for the frontline people who need it most .
Barriers for process industries
Long investment cycles : A chemical manufacturing plant may run for 60 years or more , with many legacy systems and processes in place .
Risk aversion : Process industries are naturally risk- and change-adverse due to regulatory pressures and the high hazards of many chemical processes .
High variability : Plant processes and systems tend to be highly individual , depending on the specific chemical produced , local regulatory environment , and legacy equipment and facilities .
Shiftconnector was developed to address these challenges . It is a people-centred approach to digital transformation developed for process industries . Shiftconnector connects people to other people across shifts , departments and areas of responsibility . It also provides secure , anytime / anywhere access to real-time information , including sensor data , IIoT devices , and field notes from operators and inspectors . Finally , it makes sure everyone has actionable information at the right time , so they can do their jobs well . Critically for process industries , Shiftconnector can be customised for the needs of people at each plant . That ensures improved user acceptance and optimal support for local requirements — including adaptations for local regulations , specific processes and more . At the same time , Shiftconnector helps companies harmonise information transfer across locations and regions . It provides overall equipment effectiveness ( OEE ) real-time analysis for even the most complex plant operations that connects all people in various departments to critical system data that can increase manufacturing productivity . www . valve-world . net Valve World February 2023
43