Better Hardware Design Decisions, Faster: A Lean Team’s Guide to MDO
As design complexity grows, siloed decision-making often leads to late-stage surprises, costly rework, and missed opportunities for optimization. Multidisciplinary Design Optimization (MDO) offers a structured approach to solving this by enabling teams to evaluate trade-offs and impacts across the full system—before implementation begins. Traditionally used in large, high-budget industries like aerospace, MDO is now within reach for lean teams, thanks to more accessible modeling tools and an urgent need for tighter collaboration. This article outlines how small hardware teams can adopt MDO in a practical way—starting simple, integrating key models early, and building toward a culture of systems thinking. The result is better design decisions, faster development, and more robust, manufacturable products—with fewer surprises along the way.
Optimizing Hardware Design: Reducing Iterations with DSM
Often, product teams curate feature roadmaps that fail to account for the interdependencies in product components. For this article, I wrote about how system architecture tools like Design(dependency) Structure matrix (DSM) can be used to evaluate feature roadmaps to avoid the purgatory of change propagation and accompanying endless Iteration loops. These iteration loops are sometimes affordable (manageable) in software development (Agile saves lives), but for hardware teams - especially small product teams and startups - the lost time, and money is the stuff of which product graves are made.
Better Hardware Design Decisions, Faster: A Lean Team’s Guide to MDO
As design complexity grows, siloed decision-making often leads to late-stage surprises, costly rework, and missed opportunities for optimization. Multidisciplinary Design Optimization (MDO) offers a structured approach to solving this by enabling teams to evaluate trade-offs and impacts across the full system—before implementation begins. Traditionally used in large, high-budget industries like aerospace, MDO is now within reach for lean teams, thanks to more accessible modeling tools and an urgent need for tighter collaboration. This article outlines how small hardware teams can adopt MDO in a practical way—starting simple, integrating key models early, and building toward a culture of systems thinking. The result is better design decisions, faster development, and more robust, manufacturable products—with fewer surprises along the way.
Optimizing Hardware Design: Reducing Iterations with DSM
Often, product teams curate feature roadmaps that fail to account for the interdependencies in product components. For this article, I wrote about how system architecture tools like Design(dependency) Structure matrix (DSM) can be used to evaluate feature roadmaps to avoid the purgatory of change propagation and accompanying endless Iteration loops. These iteration loops are sometimes affordable (manageable) in software development (Agile saves lives), but for hardware teams - especially small product teams and startups - the lost time, and money is the stuff of which product graves are made.
Better Hardware Design Decisions, Faster: A Lean Team’s Guide to MDO
As design complexity grows, siloed decision-making often leads to late-stage surprises, costly rework, and missed opportunities for optimization. Multidisciplinary Design Optimization (MDO) offers a structured approach to solving this by enabling teams to evaluate trade-offs and impacts across the full system—before implementation begins. Traditionally used in large, high-budget industries like aerospace, MDO is now within reach for lean teams, thanks to more accessible modeling tools and an urgent need for tighter collaboration. This article outlines how small hardware teams can adopt MDO in a practical way—starting simple, integrating key models early, and building toward a culture of systems thinking. The result is better design decisions, faster development, and more robust, manufacturable products—with fewer surprises along the way.
Optimizing Hardware Design: Reducing Iterations with DSM
Often, product teams curate feature roadmaps that fail to account for the interdependencies in product components. For this article, I wrote about how system architecture tools like Design(dependency) Structure matrix (DSM) can be used to evaluate feature roadmaps to avoid the purgatory of change propagation and accompanying endless Iteration loops. These iteration loops are sometimes affordable (manageable) in software development (Agile saves lives), but for hardware teams - especially small product teams and startups - the lost time, and money is the stuff of which product graves are made.
