The great resignation is an accelerated form of retirement which is affecting industrial manufacturing.
A data driven approach will put systems in place to retain the knowledge of experienced employees. Generally knowledge that has been built up from years of experience resides in someone’s head and they instinctively know what to do in certain situations. Mostly this knowledge is not documented or if it is, it is often not accessible when & where required. In many cases this is a last minute attempt to pass on this information in the last days and weeks of employment. Hardly a well planned strategy!
Another example might be an incident that has occurred and an investigation is completed to understand the root cause. This report might be sent to management and from that report preventative measures may or may not be put in place. Generally incident reporting is only done when the situation warrants it i.e. a dangerous situation or where production losses are unacceptably high. However, with both investigations and the loss of experience there are too many situations where the learnings are not captured for future improvements.
46% of the global workforce are planning to relocate
80% of US workers reported feeling overworked
11.5M workers quit their jobs between April and June 2021
Typically companies have a lot of data, but if the data is not well integrated, searchable or knowledge capture is poor, then the great resignation or natural loss of workers will result in poor outcomes. There needs to be an on-going process that enables employees to continuously add their knowledge in context to an incident, process, asset management or quite simply the capture of normal operations.
Data needs to be integrated, in context and easy to build on. This helps build the data driven culture.
Asset Intellect brings together existing data platforms and solutions into an asset or persona centric single pane of glass.
It enables knowledge capture through it’s Wiki entries. These entries can be done in multiple ways with data entry, reports, screen shots and photos throughout Asset Intellect including via logbook and shift management, downtime and product loss accounting, investigations, alarm and event management. The data is available in context to the user, the process, an event (e.g. a start or plant trip) or category of data.
Dimension Software’s Wiki’s are used extensively by customers to provide continuous improvement enabling data driven decisions across all levels of an organization.