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    Archive for December, 2009

    Never Let a Serious Crisis Go to Waste

    by Numetrics | December 9, 2009 | In Best Practices, News, Productivity | No Comments

    By Ron Collett

    (Summary: As the recession’s pain recedes, semiconductor companies have an excellent opportunity to take advantage of the economic crisis to drive productivity improvements throughout their R&D organization.)

    The line “never let a serious crisis go to waste” was made famous a year ago by White House chief of Staff Rahm Emanuel, who was speaking to business leaders. For the semiconductor industry emerging from a sharp recession, now is the time to capitalize on the motivation implicit in Emanuel’s quotation.

    Consider, first off, the proven benefits that companies get when they take advantage of a recession. A Bain & Company study found that:

    • Twice as many companies move from laggards to leaders during a downturn than they do during good times.
    • The majority of those companies that take steps to make that move sustained their gains long after business came back.

    For those that don’t, the numbers are discouraging:

    • One-third of banks and two-fifths of big American industrial companies fell from the first quartile of their industries in the recession of 2001-02, according to a McKinsey study referenced in The Economist.

    There’s plenty of advice for companies willing to take advantage of a business slump. Dave Jones and Pierre Loewe, writing on ChiefExecutive.net, advise managers to re-assess “unarticulated” customer needs and redraw their industry ecosystems.

    I’d amplify another of their key points: buttress your core competency. Today’s semiconductor industry is a different place than it was before the recession. The search for differentiation in core competencies needs to be focused at product development. This is crucial for fabless companies that don’t have their own manufacturing to create differentiation. But it’s also important for formerly “fabbed” companies making the transition to fabless.

    Out with the old?

    Some semiconductor companies emerging from this recession will be tempted to apply old templates to new designs. With understandable caution about hiring more engineers in the short-term, the tendency will be to do more with less—to demand more products faster with fewer engineers.

    What will happen?

    Unrealistic schedules and budget overshoot, for one thing. For another, the urge to crank out more products to take advantage of resuscitated demand will lead to portfolio-management problems.

    It doesn’t have to be this way. Productivity improvements and best practices are commonplace in manufacturing; there’s no reason they can’t be employed in R&D. It would be a shame to waste a golden opportunity to exploit this moment in history, and, to finish Emanuel’s quotation, to take the “opportunity to do things you think you could not do before.”

    Design Reuse: It’s Harder Than it Looks

    by Numetrics | December 3, 2009 | In Best Practices, Productivity, Project Planning | 1 Comment

    By Andrea Fortunato

    How best can we leverage IP in an era of relentlessly increasing design complexity? That was the question on the table at this week’s IP-ESC 2009 conference here in Grenoble. I was honored to sit on a panel with Jasper Design Automation CEO Kathryn Kranen and Olivier Haller, who manages the design verification team in the Functional Verification Group at STMicroelectronics.

    Our CEO, Ron Collett, described the IP situation in a post last week as the design reuse paradox, in that re-using IP is harder than it looks. In fact, there are dangerous consequences for any project leaders who think it’ll be a cakewalk.

    During the panel this week, I made the point that most teams underestimate the complexity that the reused IP— adapting a particular block to a new context or adding particular features and then validating it—will add to their project.

    This miscalculation is particularly dangerous for derivative designs, whereby the reuse level of their blocks is expected to be significantly high. Executive management loves derivative designs because they’re operating under the assumption that most of the work has already been done on the original design and the derivatives will be easier and deliver higher margin.

    Truth and Consequences

    But the reality is teams use ever-more IP blocks (including complete functions and sub-systems) on a chip. Underestimating the complexity at the block level is compounded at the chip level, and this creates unrealistic performance expectations from the development teams.

    What happens?

    • The project schedule slips

    • Team members have to be pulled from other on-going projects to bring the project to closure, throwing the predictability of schedule in those other projects into doubt.

    What are the consequences?

    • The overall market window is reduced and peak time window for product introduction is reduced

    • Development cost increases, exploding the project’s initial budget. ROI window is reduced

    • Both time to market and ROI are affected!

    The ripple effect of underestimating the effort needed to develop, integrate and validate the IP is far-reaching: The resource disruptions delay key projects because resources already involved on other developments are pulled in to salvage one development. The ripples turn into waves that slam the schedule and cause budget over-runs for the whole the project pipeline.

    Remediation

    There are two major ways to address this situation.

    First, fact-based planning at the project’s outset helps avoid this turmoil. By measuring and quantifying project complexity and schedule risk, team leaders can see the gap that might result between their initial effort assumptions and the effort they’ll actually need based on the data. This helps them make fact-backed what-if staffing simulations and create aggressive—yet achievable—schedules.

    Second, pick your design battles carefully. Analyzing projects in our extensive industry database, we see that best-in-class design teams show a lower amount of reuse than the average of their segment. This means that those best-in-class projects re-use IP where it is most appropriate to do so—for example in standard functions that don’t bring value add and real differentiation to the final product. But, best-in-class companies leverage their own innovation and fully engage their engineering resources in situations where the performances of specific functions are the key differentiating factors from the competition.

    In the end, the key challenge for an IP user is :”Keep the ROI in the Product Development!”

    (Andrea Fortunato is director of professional services for Numetrics, based in Grenoble).

     
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