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    Competitive Advantage

    Why They Benchmark Productivity

    by Ron Collett | May 26, 2012 | In Chip Industry, Competition, Competitive Advantage, design complexity, product development, Productivity, Project Planning, R&D, Semiconductor Industry, Team Sizes, Time-to-Market | 1 Comment

    Why do semiconductor organizations benchmark product development productivity? Two reasons. The first is obvious—to determine how their product development competitiveness compares against the industry. R&D prowess is a matter of long-term survival. Second, measuring their productivity enables reliable forecasting of engineering headcount requirements when planning new IC projects. Accurate forecasts equate to both on-time schedule performance and high schedule predictability. It’s a matter of competitive advantage.

    Creating consistently reliable project plans requires a solid grasp of the R&D organization’s development productivity. That’s because productivity dictates how many engineers a project needs to finish on time. Too few engineers and the project slips schedule—a common occurrence. Organizations measuring their productivity calculate exactly how many engineers projects need. [More]

    In Search of Best-In-Class R&D Organizations

    by Ron Collett | April 15, 2011 | In Best-in-Class, Competition, Competitive Advantage, design complexity, Metrics, Productivity, R&D | 1 Comment

    Competition among semiconductor companies has become super-heated, and R&D excellence has never been more important to establishing competitive advantage. But how do you know if an organization’s performance is best-in-class, especially that of a competitor? Such accolades are often anecdotal and based heavily on perception, a few unsubstantiated metrics or the halo created by the company’s strong financials. High revenue masks much and distorts even more. [More]

    Optimal Team Sizes for Chip Projects

    by Ron Collett | March 3, 2011 | In Best-in-Class, Competitive Advantage, design complexity, Diminishing Returns, Meeting Schedule Targets, Productivity, ROI, schedule slip, Throughput | No Comments



    What’s the optimal team size for a given IC design project? It’s a question I hear often from engineering managers and senior executives. What they’re actually asking is whether they’re over-staffing projects and therefore wasting resources. Implicitly, they’re also asking “what’s the fewest number of engineers I can put on a given project and still finish on time?” They’re important questions directly impacting R&D ROI. [More]

     
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