A blog by Oleg Shilovitsky
Information & Comments about Engineering and Manufacturing Software

From intelligent part numbers to part number intelligence

From intelligent part numbers to part number intelligence
Oleg
Oleg
11 January, 2016 | 4 min for reading

PartCabinetShelvesOld1

One of the fundamental things in product development and lifecycle is related to part numbering schemas. The discussion about part numbers is always emotional. Sometimes it feels like a disagreement about picking your child name. The dilemma is usually presented as “intelligent vs. non-intelligent” part numbers. You can read few recent articles about part numbers – Arena Solutions’ Part Numbering Schema: Intelligent vs. Non-intelligent, Ed Lopategui on GrabCADIntelligent Numbering: What’s the Great Part Number Debate? I wrote multiple articles about the same topic. The last one – Why to use intelligent part numbers in 21st century?

Jos Voskuil’ raises the question about “Intelligent” Part numbers? in his last blog. It gives great historical background about the intention of people to use intelligent part numbers. The connection to the digital future caught my attention. Article speaks about digitization and increased complexity as a factors that will lead us to eliminate part numbers – changes, product complexity, digital storage and the need to connect data sets. The last one is specially interesting. The following passage explains that:

In a digital enterprise, where data is flowing between systems, we need unique identifiers to connect datasets between systems. The most obvious example is the part master data. Related to a unique ID you will find in the PDM or PLM system the attributes relevant for overall identification (Description, Revision, Status, Classification) and further attributes relevant for engineering (weight, material, volume, dimensions). In the ERP system, you will find a dataset with the same ID and master attributes. However here they are extended with attributes related to logistics and finance. The unique identifier provides the guarantee that data is connected in the correct manner and that information can flow or connected between systems without human interpretation or human-spent processing time.

I found the discussion about “Intelligent” Part Numbers vs unique ID in database a bit misleading. Although I agree that we are moving fast into a digital future, I hardly believe unique ID will become a way to replace intelligent part number. The main reason is related to the fact information about parts lives in multiple databases in a company and outside of the company in a modern digital world. To reconcile all databases into specific internal ID is near impossible task that might be even more expensive than renumbering of all Parts used by a manufacturing company. These databases aren’t perfect. To reconcile  databases or datasets produced by different systems in manufacturing company is very challenging. Semantic is not fully captured by data models of applications and databases. The keys in schema and data models can be unreliable. Semantics of information is subjective and can differ even for the same data. Combine data correctly is difficult and it can require lot of handwork.

So, what will be the future of part numbers? I can see there important trends that will happen in parallel.

1- Future developing product information standards. You can think about Product schema.org, which will provide a way to map meaningful part information between datasets.

2- Development of intelligent mechanisms to select part in applications. Think about it as a replacement for Part Numbers, but in a form that can capture a complexity of part information and, at the same time, to provide a connection to diverse set of information about the part.

3- Development of part selection devices such as scanners, AR devices, etc. These devices will help to identify physical parts location in manufacturing shop-floor or in physical products.

What is my conclusion? In the past, intelligent part number was the only source of information about part. So, the intelligence was in the number itself. Or, more precisely, in different elements of a part number. Product development environment and product information are getting more complex. More databases, systems, dependencies. Part catalogs are not a paper book any more. Manufacturing became global, which is another factor of information complexity. At the same time, legacy databases and systems will not disappear  tomorrow. So, what will happen with Part Number? Should be invent a superficial intelligent part number? I don’t think so. But the information about parts is spread across multiple databases and data sources. So, the future is probably belonging to Part Number Intelligence and the ability to select and manage parts in a distributed environment. Just my thoughts…

Best, Oleg

Photo credit of O-scale models RustyRail 

Recent Posts

Also on BeyondPLM

4 6
15 July, 2009

Interesting and intriguing sneak peek of SharePoint 2010 video… Looks like creators of SharePoint is trying to provide major pain...

1 February, 2016

Part numbers are hard. What started as a simple number and references to a part company usually purchase from a supplier,...

3 December, 2017

Siemens PLM made some waves in PLM and IoT world last week by announcing availability of Siemens MindSphere platform for...

15 May, 2015

It is hard to sell PLM. Sigh… Even today. Even with all modern open source, cloud, browser, web, mobile, big...

30 May, 2011

Let’s talk about PLM software development today. Rewind pre-Web 2.0 and pre- iPhone era. Life was simlpe. After SolidWorks finally...

4 January, 2025

As we close the chapter on 2024, it’s time to reflect on some of the most engaging discussions that resonated...

20 September, 2010

One of my blog readers asked about who is developing Mobile PLM? The question of mobile is not new. Everybody...

24 November, 2017

For the last few weeks I had a chance to speak to many people in engineering and manufacturing with no...

15 July, 2009

Short prompt this morning. What do you think about Information Visualization in 3D? Do you see future in this way...

Blogroll

To the top