Key Factors in Engineering Design

🚗 Imagine this: You launch a new car model after years of effort. Production is smooth, the assembly line is world-class… but six months later, the headlines scream “Massive Recall.” Billions lost. Reputation damaged. All because of a design flaw that was locked in during the product development phase. Takao Sakai once said: 👉 “95% of Toyota’s profits are determined in the product development phase, not production.” And it’s true across industries: In aerospace, material choices made at the design table decide 80% of lifecycle costs. In electronics, overengineering features adds cost but not value. In manufacturing, late design changes cause delays that no production efficiency can recover. ⚡ The real challenge? Most companies pour their energy into fixing problems on the shop floor instead of preventing them during development. 💡 The smarter way: Apply Design for Manufacturability (DFM) & Concurrent Engineering. Run early simulations & prototypes to detect risks. Involve quality, supply chain, and production teams at the concept stage. Use Voice of Customer (VOC) to cut out features no one wants but everyone pays for. The truth is simple: ✅ Every mistake caught in design costs a fraction of fixing it in production. ✅ Every smart decision in development compounds into long-term profit. 🔑 What’s one thing your team does during product development that safeguards future profitability? 👇 Share your experience—it might spark ideas for someone else! #Lean #ProductDevelopment #DesignThinking #Innovation #BusinessExcellence #Quality #TQM

German government decides to postpone offshore wind auctions from summer 2026 to 2027 to avoid another failed auction like in 2025 While you may argue that the government should have started earlier to overhaul the 'support' design after last year's auction for pre-investigated areas failed (presentation here: https://lnkd.in/dp8K98XY), it is a sensible decision to postpone auctions now. This creates the breathing space to develop & implement robust CfD design, rather than rushing into another high-risk auction. Some of the key design questions that now need to be addressed: 🔷 Product design Can full load hours be increased through better area design? → e.g. shifting capacity towards Danish seas (see Fraunhofer IWES study: https://lnkd.in/duFyVbwG) 🔷 Contract design How should CfD strike prices be indexed to manage: • CAPEX risk between bid and FID/COP (that may lead to project drop-outs) • OPEX risk during operations (that has to be priced into bids) CPI-only indexation vs. offshore-specific cost indices? Other key questions: CfD duration, payment basis (generation vs potential vs hybrid). 🔷 Auction design Pre-qualification and award criteria (price-only vs qualitative), bid caps, penalties. 🔷 Interaction with PPAs How to avoid CfDs crowding out merchant exposure and corporate PPAs? There’s clearly a lot to learn from European and global offshore wind auctions. At Frontier Economics, we’re currently supporting a client on several of these questions. 📅 Study launch expected in March 👀

McKinsey taught me that brilliant people fail when they answer the wrong question. Don’t just answer questions. Frame them. Because a brilliant answer to the wrong question is still wrong. Ask, “How do we make customer support more efficient?” and everyone races to cut headcount or automate. You might save dollars and bleed trust. Try this instead: “What service approach builds loyalty while balancing cost?” Now you are designing for humans, not just a spreadsheet. How you frame a question shapes what you notice, what you measure and what you ship. Daniel Kahneman and Amos Tversky called this the framing effect. It’s one of the most underrated leadership skills. I learnt the value of spending time on framing the question in my 10 years at McKinsey. At first it felt forced. But projects where we invested serious time up front to define the question led to sharper insights, faster decisions and happier teams & clients. When we didn’t take the time, chaos reigned. Put it into practice this week: 1. Question the question. ↳ What assumptions are baked in? What if you flipped it on its head? 2. Start at the finish line. ↳ Define outcome or experience you want, then trace back the decisions and actions that create it. 3. Make space for the devil’s advocate. ↳ Assign someone to challenge whether you’re even solving the right problem. If you work with data or roll out new tech, your analysis is already shaping outcomes. Make sure you’re shaping the right ones. Have you ever felt like you’ve missed the mark on the question you’re answering? What's one question your team has been wrestling with that might need a reframe? ♻️ Repost to help someone get their question right. 🔔 Follow Clare Kitching for insights on unlocking value with data & AI.

Imagine a discipline in offshore wind farm development that influences revenues over a lifetime: Layout Optimisation!   From a mathematical point of view, the problem that we try to solve is the following: We try to optimise a function f by varying a set of design variables (typically, turbine locations) which are subject to constraints (such as being located in the project area and not being too close to each other).   But what are we optimising for — energy yield, foundation locations, cable costs? All these disciplines must not be optimised in a silo, but need to be considered concurrently to come up with an optimal design. Therefore, we need a KPI able to correctly estimate what should be the tradeoff between construction, operations costs and energy production. The Levelised Cost of Electricity (LCoE) is one of the standard KPIs used within the industry for layout optimisation.   In simple terms, four key factors influence offshore wind farm layouts: ▪️Electrical cabling: Greater distances between turbines increase cabling costs and electrical losses. ▪️Energy yield: Turbines placed too close together suffer higher wake losses. ▪️Foundation costs: Highly dependent on bathymetry. ▪️Logistics costs: Affected by soil conditions and shore distance. So, how do we optimise layouts today? Machine learning is the game changer! With more complex wind farms and 100+ turbines to be placed, optimisation algorithms now handle layouts beyond human capacity.   Next time you spot an offshore wind farm, remember each layout is unique — for a reason!

"One of the key ways to make energy systems more reliable is by maximizing flexibility — improving how well the system can adapt in real time to changes in supply and demand. The more flexible the system, the better it can handle sudden demand spikes in the event of extreme weather, such as cold snaps or heat waves, or respond to supply disruptions such as plant outages. Improving flexibility includes upgrading aging infrastructure. Much of the U.S. grid was built decades ago under different demand patterns. Modernizing the grid — by updating substations and transmission equipment, deploying advanced sensors and incorporating advanced transmission technologies (ATTs), for example — can reduce failure rates during extreme heat and cold. These technologies help operators detect problems quicker, reroute power if equipment is damaged and restore service fast. Modernization not only improves reliability but also reduces expensive emergency interventions and lowers long-term maintenance costs. Increasing grid capacity, both through deployment of ATTs and building regional and interregional transmission lines, can reduce the risk of a local weather event turning into a widespread outage. Creating a more interconnected grid allows regions to share power during shortages. Having this greater transmission capacity also help keep prices down by allowing lower-cost electricity to reach areas facing higher demand. Demand-side management options can help ease pressure on the system during extreme weather events. These include encouraging customers and large users to reduce or shift electricity use during peak periods in exchange for lower bills or leveraging distributed energy resources to help prevent shortages. Systems that rely too much on a single fuel are more vulnerable to disruption. Diversification across energy sources and technologies helps reduce the risk of issues related to fuel shortages, infrastructure failures and localized weather impacts. Finally, policy is also critical. It’s vital that incentives are properly aligned with modern needs for flexibility and preparedness. This can help utilities make system investments that really work in extreme weather and minimize costs to consumers in both the short and the long run." Kelly Lefler World Resources Institute https://lnkd.in/e5syqXQp

It took me a decade to truly understand what it means to design for B2B enterprise. Here are some hard truths. B2B is wonderfully complex. Release cycles are driven by engineering rigor, and the domain knowledge runs deep. Learning it takes time, and there’s incredible institutional knowledge to absorb. You earn trust when you invest in understanding the domain as deeply as your engineering partners do. Vision thrives when leadership champions it. The challenge is demonstrating how design thinking adds value within real technical constraints. Here’s what I’ve learned about how design succeeds in this environment: Push the envelope, always. Designers bring unique ways of seeing, framing, and solving problems. That’s the power of creative problem solving. Great design requires great engineering, and the partnership works best when both disciplines challenge each other constructively. Design naturally gets pressure tested from multiple angles. That’s healthy. As designers who understand technology and product (myself included), we can empathize deeply with engineering constraints. But we also need to maintain one perspective that imagines beyond current limitations. That’s where breakthrough solutions come from. Measure what matters for your customers. B2B customers typically upgrade quarterly or semi-annually, not daily or weekly. Understanding their actual adoption patterns helps us focus on the right success metrics. Designing for B2B requires patience and perspective. Progress can feel slow day to day, but when you do the right things consistently, impact compounds and arrives all at once. If you need instant gratification, enterprise work will frustrate you. But if you appreciate compounding returns, it’s incredibly rewarding. B2B customers often become accustomed to friction in their tools. They accept it as normal until something like Slack shows them a fundamentally better experience. Our job is to not accept that friction, even when customers have adapted to it. We can create those breakthrough moments. Some days feel like you’re keeping the ship running smoothly. Other days you’re pushing toward the future state. Both matter equally. Both are essential to success. What I wish I’d understood earlier: - Be the designer you’re meant to be. - Collaborate with your partners with deep empathy. - Stay relentless about simplifying your customers’ lives. - Don’t accept unnecessary complexity. Trust in long-term impact over quick wins. The domain is deep. The pace is measured. The collaboration is constant. And the work matters tremendously because enterprise users deserve experiences as intuitive and delightful as the consumer products they use every day. Earn respect from your stakeholders and partners. Keep pushing forward. #design

🟥 VFD Selection for Your Load: Selecting the right Variable Frequency Drive (VFD) is essential for optimizing efficiency, ensuring safety, and maintaining cost-effectiveness in any electrical system. Here’s a professional, step-by-step guide to help you make the right choice, complete with practical formulas and detailed calculations. ▪️ 1. Understand Your Load Requirements Before diving into calculations, gather these key details: 1️⃣ Motor Power (kW or HP) 2️⃣ Motor Full Load Current (FLC) 3️⃣ Voltage Supply (V) 4️⃣ Load Type (Constant or Variable Torque) Example:  • Motor Power = 30 kW  • Voltage = 415 V  • Motor Efficiency (η) = 90%  • Power Factor (PF) = 0.85 ◾ 2. Calculate Full Load Current (FLC) Formula: FLC = (P x 1000) ÷ (√3 x V x PF x η) Substitute the values: FLC = (30 x 1000) ÷ (√3 x 415 x 0.85 x 0.9) FLC = 50.67 A ➡️ The motor’s Full Load Current is 50.67 A. ◾ 3. Determine VFD Capacity VFDs are rated in kW. Add a 10–15% safety margin to the motor power: Formula: VFD Size = Motor Power x (1 + Safety Margin) For a 30 kW motor with a 10% margin: VFD Size = 30 x 1.1 = 33 kW ◾ 4. Verify Overload Capacity Most VFDs can handle 150% of the Full Load Current (FLC) for 1 minute. Ensure the selected VFD supports this requirement to manage motor startup or overloads effectively. ◾ 5. Check Cable Voltage Drop (VD) For longer cable runs, voltage drop impacts performance. Use: Formula: VD = 2 x L x I x R Where:  • L = Cable length (meters)  • I = Current (amps)  • R = Cable resistance (ohms/m) Example:  • L = 50 m  • I = 50.67 A  • R = 0.0175 Ω/m VD = 2 x 50 x 50.67 x 0.0175 = 88.67 V ➡️ Ensure VD is less than 5% of the supply voltage: Percentage Voltage Drop = (VD x 100) ÷ Supply Voltage (88.67 x 100) ÷ 415 = 21.37% (Too High—requires adjustments). ◾ 6. Select the Right Features Choose a VFD with essential features for optimal performance: ✅ Overcurrent Protection 🌡️ Thermal Overload Protection 🔋 Energy Efficiency Modes 📊 Harmonic Filtering ⬛ Conclusion Choosing the right VFD is more than just matching motor specifications. By following these steps, you ensure your system is optimized for performance, safety, and efficiency. Avoid costly mistakes and achieve peak functionality in your setup. 💡✨ hashtag#IndustrialAutomation hashtag#Electronics hashtag#Intrumentation hashtag#ControlSystems hashtag#Engineering

𝗧𝗵𝗮𝘁 𝗖𝘂𝗿𝘃𝗲 𝗗𝗶𝗱𝗻'𝘁 𝗛𝗮𝗽𝗽𝗲𝗻 𝗯𝘆 𝗔𝗰𝗰𝗶𝗱𝗲𝗻𝘁. 𝗧𝗵𝗲 𝘀𝗲𝗰𝘁𝗶𝗼𝗻 𝗱𝗿𝗮𝘄𝗶𝗻𝗴 𝗶𝘀 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗲 𝗺𝗮𝗴𝗶𝗰 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗹𝗶𝘃𝗲𝘀. Everyone stops at the photograph — the iridescent terracotta tiles, the sweeping double-curved form, the sheer scale of it. But the section drawing on the left is where that building was truly designed. Every structural node, thermal layer, drainage plane, and facade bracket had to be resolved before a single tile was fixed. A free-form facade like this isn't just a cladding challenge — it's a structural, environmental, and construction sequencing problem solved simultaneously. The drawing reveals floors cantilevering into the curve, service zones tucked behind the skin, and a subframe system that allows each tile panel to follow a geometry that never repeats. 𝗞𝗲𝘆 𝗗𝗲𝘀𝗶𝗴𝗻 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 ⬛ Double-curved facades require each cladding panel to be individually dimensioned — no two panels share the same geometry across the entire surface. ⬛ The subframe system must accommodate both the structural deflection of the building and the thermal movement of the facade independently. ⬛ Iridescent terracotta tiles shift colour with sun angle — the facade is not one material but a dynamic surface that changes through the day. ⬛ Section drawings for complex forms must resolve structure, envelope, services, and interior finish in a single coordinated cut. ⬛ Construction sequencing on a curved building is as complex as the design — panels must be installed in a precise order to maintain geometry. 𝗧𝗵𝗲 𝗕𝗶𝗴𝗴𝗲𝗿 𝗣𝗶𝗰𝘁𝘂𝗿𝗲 Spectacular architecture is never just vision — it's technical resolution at every scale. The photograph shows what the world sees. The section drawing shows what made it possible. — 𝗠𝗶𝘀𝗵𝘂𝗹 𝗚𝘂𝗽𝘁𝗮 #FacadeDesign #ConstructionDocumentation #ParametricArchitecture #ArchitecturalDetail #BuildingTechnology #TerracottaFacade #SectionDrawing #AECIndustry #ArchitectureIndia #DetailingMatters

Ten years ago, while I was writing my PhD, this would not have been the solution we were looking for. Back then, when we talked about bird mortality around wind farms, the reflex was always the same: more technology, more monitoring, more complexity. We were debating radar systems, shutdown protocols, sophisticated detection tools. The assumption was clear: the problem had to be solved after turbines were built and with expensive fixes. What we underestimated was perception. Birds don’t analyse turbines. They react to movement. When turbine blades rotate, their uniform colour creates a visual blur. The movement becomes difficult to distinguish from the background, a phenomenon known as motion smear. Years later, researchers at a Norwegian wind farm tested something radically simple. They didn’t change the turbine. They didn’t add sensors. They didn’t redesign the system. They changed contrast. By painting a single blade black, the rotation became visible. Not louder. Not smarter. Just clearer. The outcome was striking: bird collisions dropped by roughly 70%. What this tells us matters far beyond wind energy. Sustainability doesn’t always need more innovation. It often needs better observation. When we design infrastructure with living systems in mind, from the start, solutions tend to be simpler, cheaper, and far more effective. ♻️ Share this to inspire your network. 👉 Follow Alix Willemez, PhD for more beautiful stories of resilience and optimism, for nature, and for us.

Flying Without GPS: How UAVs Are Evolving in Denied Environments As GPS becomes increasingly vulnerable to jamming and spoofing, the future of UAV operations depends on how well these systems can navigate without it—or how creatively we can maintain access to reliable positioning. From military missions in contested zones to commercial drones in urban airspace, GPS-denied environments are now a defining challenge. The next generation of UAVs must be resilient, autonomous, and capable of navigating blind—or connected. Here’s where I see innovation accelerating: 1. Visual Odometry & SLAM Computer vision techniques like SLAM (Simultaneous Localization and Mapping) allow drones to map and localize in real time using onboard cameras and sensors. 2. Inertial Navigation Systems (INS) Accelerometers and gyros track motion—critical for short-term navigation, especially when paired with visual systems to correct drift. 3. Terrain Referenced Navigation (TRN) By comparing radar or LiDAR profiles to known maps, UAVs can position themselves even without satellite signals. 4. Magnetic & RF Mapping Some systems leverage Earth’s magnetic anomalies or ambient RF signals (Wi-Fi, cellular, broadcast) for passive, resilient positioning. 5. Fiber Optic Cable Integration Ground-based UAVs or command relay systems can stay connected to GPS-time and positioning data through secure fiber optic links. In some scenarios—such as perimeter surveillance or fixed-wing UAV launch zones—tethered UAVs or systems with partial autonomy can use high-speed fiber to maintain real-time PNT data, bypassing jammable satellite links altogether. 6. Multi-Modal Autonomy The most robust systems blend all of the above: vision, RF, terrain, inertial, and even fiber-connected nodes—cross-checking data with onboard AI to adapt in real time. Why It Matters: In defence, drones must survive in electronic warfare environments. In commercial use, they must operate safely in complex, signal-degraded spaces. From air to ground, the push for resilient, redundant navigation is accelerating—and fiber-based links are now part of the solution. The ability to operate in or around GPS-denied zones isn’t a luxury—it’s fast becoming a baseline requirement for UAV autonomy and survivability. Question.... Which navigation method do you see scaling fastest—vision-based, RF, terrain, tethered fiber, or something else? #UAV #DefenseTech #GPSDenied #FiberOptic #DualUse #Navigation #Drones #Aerospace #PNT #AI