pixeltrap - Fotolia
If you've been confused about what digital manufacturing means in terms of the actual digital manufacturing technologies, you're not alone.
First and foremost, digital manufacturing is a strategy. Ideally, this comprehensive strategy for managing and sharing engineering data -- product definitions, bills of materials (BOM), engineering specifications, etc. -- through the entire product lifecycle can be valuable for design improvement, product support and logistics. But how do you implement digital manufacturing? What counts as digital manufacturing technology?
You can't buy a digital manufacturing application. You can, however, make smart choices when you add or replace basic manufacturing and engineering applications or suites and piece together the infrastructure to build your own digital manufacturing environment. Many of the pieces may already be in place and may only need to be tied together. Here are two broad areas you'll want to research.
CAD/CAM foundation to digital manufacturing
Most companies already embrace digital product design and specification in the form of CAD/CAM (computer-aided design/computer-aided manufacturing). The resulting digital files are routinely passed to manufacturing in the form of machine instructions and work instructions. That's a good start.
This data is often duplicated in the management systems, typically in ERP systems, but rarely shared or interfaced digitally, and that's the first challenge of implementing digital manufacturing.
Enabling digital manufacturing through ERP
An ERP system's product data management module stores item definitions and specifications, BOMs and routing data for use in the planning, scheduling, production control and costing applications. Multisite organizations use a variation of this facility, called master data management, which acts as a central repository for product data for the entire enterprise.
Most often, ERP product data or master data is manually entered and controlled. Digital manufacturing would rather that engineering and ERP share a single database, or at the very least have the engineering applications automatically update product data and maintain continuous synchronization. In this way, there is no ambiguity or duplication for one version of the truth, as engineers like to say. Look for engineering and ERP systems that talk to each other, offer engineering release functionality to exchange data or are capable of data transfer (APIs, user exits, open interface design) to accommodate your custom or third-party engineering change or engineering release software.
On the lookout for digital manufacturing technologies
A comprehensive ERP suite may have applications for field service, warranty tracking and product lifecycle management. Or there may be equivalent modules available from third-party sources. An ideal digital manufacturing infrastructure includes these applications, using the same database to avoid duplication and to keep all the parts of the enterprise in sync.
Data collected and used by these downstream functions should be added to the master data established in engineering. It should then be carried through production and distribution to create an end-to-end history of the product's design, manufacturing, use, maintenance and ultimate disposal, remanufacturing or recycling. Engineering and design can use this data to improve design, performance and support. Service benefits from knowing which parts to stock and what maintenance will extend product life and improve performance.
Engineering analysis can improve performance and longevity in future products and variants.
How to create a digital manufacturing strategy
How the internet of things and digital manufacturing work together
Manufacturing gets a digital makeover
Dig Deeper on Supply chain planning and execution
Related Q&A from Dave Turbide
Today's warehouses have different issues than the warehouses of yesteryear, so it's critical to understand the role technology serves. Here's a look. Continue Reading
Predicting demand has never been easy, but in the age of e-commerce and omnichannel, that difficulty has multiplied. Here is some helpful guidance ... Continue Reading
Now is a good time for manufacturers to start thinking about how they can incorporate artificial intelligence technologies into their production ... Continue Reading
Have a question for an expert?
Please add a title for your question
Get answers from a TechTarget expert on whatever's puzzling you.