Capturing the “As installed” BOM requires taking and OLM perspective
The “As designed” and “As built” BOMs are two perspectives on the same object. The “As installed” BOM goes beyond that and includes other objects that where added at installation. Parts from the “As built might be removed at installation and parts might be added. Some objects, in themselves product instances, might be included in (shared across) multiple “As installed” objects.
The “as installed” exists in the grey zone between “product instance” and “system”. It represents product instance with relations in a system of other objects residing within a host.
A “host” defines boundaries for the system and the equipment. The system exists within the host, it does (normally…) not exist outside it. Examples of hosts are factories, buildings, ships, vehicles etc.
The “As installed” is, as the name implies an installed object. Installation is an operation occurring after manufacturing as part of delivering the product. This means that there is a handover of information needed to make the installation and a need to capture information back from the same to obtain the true “As installed” BOM to build the twin from.
Closing the loop to secure availability of an “As installed” BOM that reflects the installed object in a manner that meets up to the needs of systematic processing in digital threads, requires providing tools and routines that follows and support the principles of “Object Lifecycle Management”. The whole chain must be set up to create, modify, capture objects according to methods and in tools that resemble those used in PLM rather than MDM.
Just thinking…
Managing Partner
5 年The differences between the mentioned BOMs will always exist as long as their is a difference is the management of the physical product relative to its data. This gap between the tangible (physical products) and intangible (product related data) is one of the few areas where industrial giants can make a significant efficiency gains as business models evolve from products to services. The question is how to structure the data in order to increase trust in the data?