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Research Rap: What is Engineering Doing to Shrink Development Time?

July 16, 2008

I posted earlier about What
Gives Chief Engineers Sleepless Nights
based
on a benchmark report from Aberdeen Group. The report,
The Engineering Executives Strategic Agenda
, indicated that the
number one pressure engineering faces is shrinking development
schedules, which stood head and shoulders above the other
challenges identified (including rising material costs, shrinking
budgets, and customer expectations for prices to reduce even in
this environment). The question that I did not delve into from the
study is “so what the heck are we going to do about
it?

Engineering Taking Action
I would categorize
the actions that Aberdeen uncovered in 3 basic categories:

  • Designing it right the first time
  • Speeding up processes
  • Focusing on capturing and protecting engineering
    knowledge

Clearly each of these could be (and probably will be) topics for
a benchmark on their own. For now, I will summarize each of these
themes. The report has much more rich information than I can share
here.

Right First Time
There is a lot to getting a product right the first time.
And getting it right early means better products, but
also fewer revisions to correct errors, leading to faster
development cycles
. One key way this was manifested was by
the aspects of a product that Engineering departments are trying to
get right early in design. The companies that Aberdeen identified
as better than others in hitting their product development targets
are designing products that are:

  • Perform at the right level
  • Are compliant with regulations
  • Meet “green” environmental standards
  • Are serviceable
  • Have optimized costs in the supply chain

The key is that they are designing products from the beginning
with these ends in mind. Another area identified is that
leading companies are also doing a better job tracking their
requirements and mapping them down to their subsystems.

Perhaps the biggest action identify in design right the first
time had to do with validating designs early. Almost
3/4 of the survey respondents that were operating at higher levels
of product development success are assessing product performance
early. They are even going so far as to correlating computer aided
engineering (CAE) / simulations (one of the most valuable ways to
validate designs early) with actual physical tests, to ensure that
simulations are reflecting the reality as closely as
possible
.

Speed up Processes
Early validation helps to reduce development times. But two other
main concepts were identified here:

  • Applying lean concepts to engineering
    (reducing waste and speeding up processes)
  • Developing modular designs (speeding up design
    through reuse design components with defined interfaces, which
    also enables the reuse of simulation, testing, and analysis to
    reduce development cycles)

Capturing and Protecting Engineering
Knowledge

Two main concepts were identified relating to engineering and
product knowledge. 

  • Improving the ability to capture (and
    reuse) engineering knowledge
    (decreasing time by not
    reinventing the wheel)
  • Protecting product intellectual property (not
    directly related to development times, but a clear focus for many
    companies today

    The interesting thing is that the better you do in capturing
    knowledge, the better you need to be at protecting that IP.

So that was a further peek into some recent research on what
gives Engineering execs sleepless nights (and what they are doing
to regain a good night rest). I hope you found it interesting.

Does the research reflect reality? Do you see it differently?
Let us know what it looks like from your perspective.

Posted by Jim Brown on July 16, 2008 | Comments (2)

August 18, 2008
In response to: Research Rap: What is Engineering Doing to Shrink Development Time?
Jim Brown commented:

Sgtachat, thanks as always for your contribution. The right product (innovation) in the right time (speed to market) are on the minds of every company I talk to. It is a top of mind topic, and one that my research back at Aberdeen ties back to increased revenue and decreased cost - impacting both sides of the \"profitability equation.\" You are exactly right in regards to predictability. I particularly like your comment on reuse. The best way to predict something is to know how it has performed in the past. If you have an existing product (or component of a product) that has already been designed, validated, and put into use - then why not take advantage of it? This not only saves design time because engineers are not reinventing the wheel, but also allows them to reuse existing analysis, documentation, and other downstream design elements - saving time and money. And if the design is well modeled in a 3D CAD tool, changes to the existing model or the use conditions can be made quickly and re-validated. Beyond that, the real-world experience of the design in the field can be reused. So why isn\'t everybody reusing? They can\'t find what they are looking for, and when they find it they don\'t know what they have. The history is hard to find and understand. That is where today\'s PLM solutions and new search technologies can really help. Speaking of predictability, how many companies would just settle for being able to predict when there product will come to market? Thanks for the comment!


July 17, 2008
In response to: Research Rap: What is Engineering Doing to Shrink Development Time?
sgtachat commented:

Jim-very relevant article. Its all about predicting how things turn out arent they? A 3D design or CAE tool can \'predict\' how a physical design will behave before its made. A product reliability analysis will \'predict\' how a product will perform in the field and its associated costs. A knowledge capture and reuse technology will \'predict\' the performance of a new design based on already proven methods. A customer centric design process can, to a great extent \'predict\'the acceptance of the product in the market. A great market forecasting model will help in resource optimization, etc. Companies are striving to achieve this \'predictive\' capability earlier and earlier in the design cycle. On the other side, to augment this capability, is the reduction in development cycle time. You not only have to predict accurately, you need to do it quickly and be flexible to any changing circumstances. Lean Engineering, process automations, KBE (Knowledge based Engineering) are some of the techniques that gaining a lot of popularity. For companies, I guess it boils down to \"have we got the right product right in right time?\"

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