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

Oh, how many times I have been asked this. "Is neuroincusion at work just special treatment?" No. Neuroinclusion doesn't add special infrastructure for “special” people. It removes the assumption that the current infrastructure works well for actual humans. - Flexible schedules to remove the penalty on anyone whose best thinking doesn't happen between 9 a.m. and 5 p.m. - Clear communication in different formats (e.g., spoken and written) to make information accessible to everyone. - Quiet spaces alongside collaborative ones to acknowledge that sustained cognitive work requires conditions that open-plan offices structurally prevent. - Agendas before meetings to respect everyone's time and make gatherings more effective. - Multiple ways to contribute one’s thoughts beyond real-time verbal performance to capture all the knowledge and perspectives. - Networking opportunities designed for non-surface connections to build true affinity. - Performance reviews with clear criteria based on work outcomes, to support both fairness and performance. Are these "special accommodations"? No, this is what good organizational design looks like when we stop pretending that humans are clones of each other. Fresh off the press. It was stuck in editorial limbo and missed the Neurodiversity Celebration Week (sad face), but fairness should not be limited to one week a year. https://lnkd.in/gM36qYi2 #neurodiversity #HumanResources #management

𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐃𝐫𝐨𝐧𝐞 𝐀𝐫𝐦 𝐃𝐞𝐬𝐢𝐠𝐧 𝐰𝐢𝐭𝐡 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐃𝐞𝐬𝐢𝐠𝐧 𝐚𝐧𝐝 𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 In the world of drone technology, the arm is more than just a structural element—it’s a critical component that must balance strength, weight, and manufacturability. Using generative design and simulation, I recently tackled creating a lightweight yet robust drone arm for a UAV. 𝐊𝐞𝐲 𝐃𝐞𝐬𝐢𝐠𝐧 𝐏𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫𝐬 1) 𝐓𝐡𝐫𝐮𝐬𝐭 𝐅𝐨𝐫𝐜𝐞: The arm must withstand a thrust load of 40N while maintaining structural integrity during operation. 2) 𝐌𝐚𝐭𝐞𝐫𝐢𝐚𝐥: The design leverages 3D-printable Nylon, chosen for its lightweight properties and high strength-to-weight ratio. 3) 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐚𝐛𝐢𝐥𝐢𝐭𝐲: The arm is optimized for FDM 3D printing, ensuring cost-effective and scalable production. 𝐓𝐡𝐞 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐃𝐞𝐬𝐢𝐠𝐧 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 1) 𝐂𝐨𝐧𝐬𝐭𝐫𝐚𝐢𝐧𝐭𝐬 𝐚𝐧𝐝 𝐥𝐨𝐚𝐝𝐬: Defined mounting points, motor housing requirements, and the 40N thrust force acting on the arm. Weight reduction was incorporated as a priority constraint to enhance flight performance. 2) 𝐌𝐚𝐭𝐞𝐫𝐢𝐚𝐥 𝐏𝐫𝐨𝐩𝐞𝐫𝐭𝐢𝐞𝐬 (𝐍𝐲𝐥𝐨𝐧): Density: ~1.15 g/cm³ Ultimate Tensile Strength: ~50 MPa Elastic Modulus: ~2.5 GPa These properties were integrated into the simulation to ensure the final design could withstand operational stresses. 3) 𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐕𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧: Finite Element Analysis (Ansys): Validated the generative design against thrust forces and dynamic loading conditions. Results: The final iteration achieved a 30% weight reduction compared to traditional designs while maintaining a safety factor >1.5. Stress concentration areas were identified and reinforced without adding excess material. 𝐓𝐡𝐞 𝐎𝐮𝐭𝐜𝐨𝐦𝐞 𝐖𝐞𝐢𝐠𝐡𝐭 𝐑𝐞𝐝𝐮𝐜𝐭𝐢𝐨𝐧: Lightweight design, reducing overall drone energy consumption. 𝐒𝐭𝐫𝐞𝐧𝐠𝐭𝐡 𝐀𝐬𝐬𝐮𝐫𝐚𝐧𝐜𝐞: Verified to handle operational thrust and stress forces. Manufacturability: seamless translation to FDM printing with minimal post-processing. . . . #GenerativeDesign #EngineeringInnovation #DroneTechnology #UAVDesign #AerospaceEngineering #3DPrinting #AdditiveManufacturing #FiniteElementAnalysis #MaterialScience #Simulation #LightweightDesign #ProductDesign #DesignOptimization #SustainableEngineering #EnergyEfficiency #AdvancedMaterials #DroneDevelopment #StructuralAnalysis #TechInnovation #CuttingEdgeDesign

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

Most CTOs can’t answer this question credibly: “What’s the ROI of your engineering department?” Marketing says: “Every $1 in ad spend brings back $3 in revenue.” Sales can quite easily say: "For each person we hire, we expect a $900k ARR contribution, which is a 6x return on fully-loaded cost." Engineering? — “Without us, you’d have nothing to sell.” Correct… but not useful. So we fall back on: - DORA metrics - Uptime - Bug rates - DX surveys All important — but none of them answer the ROI question. A feature factory with great velocity can still have terrible ROI. In my work with CEOs, CFOs and CTOs, I’ve found that finding the right question to ask is of utmost importance. Two much better questions than "What is your ROI?": 1. How much revenue from existing customers is supported by each dollar we spend on keeping the lights on? 2. How much new revenue is enabled by each dollar we spend on new capabilities? Once you look at engineering through these lenses, many things start snapping into focus ... I’ve just published a long-form piece on this (6,000 words): The Hitchhiker’s Guide to Measuring Engineering ROI https://lnkd.in/dmd5kF3s Can a single number capture the value engineering provides? Is it right to even attempt to do this?

System design interviews can be a daunting part of the hiring process, but being prepared with the right knowledge makes all the difference. This System Design Cheat Sheet covers essential concepts that every engineer should know when tackling these types of questions. Key Areas to Focus On: 1. Data Management:    - Cache: Boost read operation speeds with caching mechanisms like Redis or Memcached.    - Blob/Object Storage: Efficiently handle large, unstructured data using systems like S3.    - Data Replication: Ensure data reliability and fault tolerance through replication.    - Checksums: Safeguard data integrity during transmission by detecting errors. 2. Database Selection:    - RDBMS/SQL: Best for structured data with strong consistency (ACID properties).    - NoSQL: Ideal for large volumes of unstructured or semi-structured data (MongoDB, Cassandra).    - Graph DB: For interconnected data like social networks and recommendation engines (Neo4j). 3. Scalability Techniques:    - Database Sharding: Partition large datasets across multiple databases for scalability.    - Horizontal Scaling: Scale out by adding more servers to distribute the load.    - Consistent Hashing: A technique for efficient distribution of data across nodes, essential for load balancing.    - Batch Processing: Use when handling large amounts of data that can be processed in chunks. 4. Networking:    - CDN: Distribute content globally for faster access and lower latency (e.g., Cloudflare, Akamai).    - Load Balancer: Spread traffic across multiple servers to ensure high availability.    - Rate Limiter: Prevent overloading by controlling the rate of incoming requests.    - Redundancy: Design systems to avoid single points of failure by duplicating components. 5. Protocols & Queues:    - Message Queues: Asynchronous communication between microservices, ideal for decoupling services (RabbitMQ, Kafka).    - API Gateway: Control API traffic, manage rate limiting, and provide a single point of entry for your services.    - Gossip Protocol: Efficient communication in distributed systems by periodically exchanging state information.    - Heartbeat Mechanism: Monitor the health of nodes in distributed systems. 6. Modern Architecture:    - Containerization (Docker): Package applications and dependencies into containers for consistency across environments.    - Serverless Architecture: Run functions in the cloud without managing servers, focusing entirely on the code (e.g., AWS Lambda).    - Microservices: Break down monolithic applications into smaller, independently scalable services.    - REST APIs: Build lightweight, maintainable services that interact through stateless API calls. 7. Communication:    - WebSockets: Real-time, bi-directional communication between client and server, commonly used in chat applications, live updates, and collaborative tools. Save this post and use it as a quick reference for your next system design challenge!

📊 The largest neuroinclusion study ever conducted dropped last year, and the findings are both encouraging and concerning. EY's Global Neuroinclusion at Work Study 2025 surveyed over 2,000 professionals 🌍 (1,603 neurodivergent, 508 neurotypical) across 22 countries. The skills gap we’re worrying about? Neurodivergent professionals already have these capabilities 💪. They report high proficiency in the fastest-growing skills: AI and big data (30%), cybersecurity (36%), creative thinking (31%), resilience and agility (43%), and leadership (49%). But only 25% feel truly included at work 💭. Despite strong engagement and clear capability, just one in four neurodivergent professionals feel they belong, and 39% plan to leave their current job within a year, not due to lack of interest or capability, but because of negative workplace relationships, microaggressions, or lack of support. When inclusion works, the impact is profound 🌱. Neurodivergent professionals who feel truly included report a 10% average boost in skill proficiency. The biggest gains? A 17% increase in resilience and agility, and 15% increase in leadership and social influence. The barriers are systemic, not individual ⚙️: ➡️ 91% face at least one barrier to career progression ➡️ Unclear pathways and limited opportunities are common ➡️ Fear of losing support systems when changing roles holds people back ➡️ Sensory overload in offices is up to 12 times more likely than for remote workers After six years working alongside neurodivergent people 💬, none of this surprises me. The issue has never been capability, it’s been our systems, leadership approaches, and workplace environments. The research points to two critical factors 🔍: line manager behaviours (42% of inclusion outcomes) and psychological safety (29%) are the biggest influences. This isn’t about grand initiatives; it’s about everyday interactions and creating environments where people feel safe to be themselves. The talent is there. The skills are there. The question is whether we’re creating workplaces where neurodivergent professionals can actually thrive 🌟. What’s your experience? Are you seeing these barriers in your workplace? 👇

Creating a Neuroinclusive Workplace: The Importance of Providing Clear Information When fostering neuroinclusion, one of the most effective strategies is providing clear, detailed information about the workplace environment. This can significantly reduce anxiety and help neurodivergent employees feel more comfortable and prepared. Here’s how you can improve inclusivity especially for neurodivergent hires who may be more anxious not having clarity over expectations. Physical space: Share details about desk arrangements, hot-desking systems, and how to book spaces. Offer a map or virtual walkthrough to familiarise employees with the layout. Highlight quiet areas for those needing focus or a calm environment. Hybrid working: If hybrid work is an option, explain how to arrange it and the policies around flexible work. Logistics and wayfinding: Provide travel options, including public transport and parking details. Add key landmarks near the office to aid pathfinding. Office rules: Be clear about dress codes, food policies, and guidelines for using perfumes. Make sure there's transparency around language, hierarchy, and how to take breaks. Support systems: Assign a “work buddy” to help new employees learn the unspoken rules and norms. HR policies: Offer clear explanations of policies and expectations, including job roles. Provide a glossary if acronyms are frequently used. By being explicit and organised in sharing this information, you help build an inclusive and supportive workplace for everyone.

🔑 50 BASIC YET POWERFUL INSIGHTS IN STRUCTURAL ENGINEERING Structural engineering is not just about designing safe buildings. It’s about creating resilient, sustainable, and efficient systems that stand the test of time. 1. Safety & Serviceability: Balancing ultimate strength with usability is not optional; it’s foundational. Recognizing the difference between failure modes and serviceability limits ensures that structures not only stand but perform reliably over time. 2. Structural Behavior & Mechanics: A deep understanding of how beams, columns, slabs, and frames resist axial, bending, shear, and torsional forces allows engineers to predict performance under complex loading. Concepts like ductility, redundancy, and energy dissipation are key to resilient design. 3. Soil-Structure Interaction: Foundations are more than supports. They are dynamic partners. From settlement analysis to bearing capacity and slope stability, understanding soil behavior underpins long-term structural performance. 4. Dynamic & Lateral Loads: Earthquakes, wind, and other lateral forces demand careful analysis of resonance, damping, and load paths. 5. Sustainability & Material Efficiency: Modern engineering requires not just strength but stewardship. Optimizing material use, incorporating green materials, and considering lifecycle impacts lead to cost-effective, environmentally responsible structures. ✨ Key Highlights Include: Safety & Serviceability → Balancing ultimate strength with usability. Structural Behavior → Understanding how elements resist shear, bending, and axial forces. Soil-Structure Interaction → Recognizing foundation-soil relationships. Earthquake & Wind Resistance → Designing for natural unpredictability. Sustainability → Efficient use of materials for long-term durability. In practice, it’s the mastery of these basics that leads to innovative, reliable, and sustainable designs. 👉 A strong reminder: Engineering brilliance starts with fundamentals. - Er. Suman Jyoti (suman.ce.np@gmail.com) #StructuralEngineering #CivilEngineering #Construction #SumanJyoti #structures #ASTM #ACI #StructuralMaterials #EngineeringFundamentals #Sustainability #Infrastructure #EngineeringDesign

𝐑𝐞𝐝𝐮𝐜𝐞 𝐭𝐡𝐞 ‘𝐖𝐨𝐫𝐤-𝐀𝐫𝐨𝐮𝐧𝐝 𝐓𝐚𝐱’ Your Engineers Are Burning $4.5 Million. And You Can't See It. 🔥 Your VP mentioned "documentation issues." Translation: Knowledge workers spend 30% of their workday, 2.5 hours daily, searching for information. That's a $4.5M productivity tax hidden in the "Engineering Black Box." 💰 But here's the Real Kicker: 70-80% of a product's total cost is locked in during design, yet only 5-10% is spent there. The other 90+%? Incurred downstream in manufacturing, procurement, and field service. Every bad engineering decision, a missing revision, an outdated BOM, a misaligned configuration, doesn't blow up your engineering budget. It explodes downstream, where you've lost control. The Problem? You Can't See Inside the Box 📦 Your board sees: Engineering delivered. ✅ They don't see: 30% of time spent hunting for information; 20% spent on rework. While your CFO tracks every penny in ERP, engineering's "invisible costs" detonate downstream. Bad data doesn't show up on the Profit & Loss statement until manufacturing produces parts that don't match their design, procurement buys obsolete components, or warranty claims spike. 𝐓𝐡𝐞 "𝐖𝐨𝐫𝐤-𝐀𝐫𝐨𝐮𝐧𝐝 𝐓𝐚𝐱" 𝐌𝐮𝐥𝐭𝐢𝐩𝐥𝐢𝐞𝐬 𝐃𝐨𝐰𝐧𝐬𝐭𝐫𝐞𝐚𝐦 💸 When engineers can't find the right component, they recreate it. When manufacturing is not involved in the change, costs can increase significantly due to production-line disruptions or costly rework. When procurement orders from outdated outlooks: $2M in wrong components. For 100 engineers at $150K, the search process wastes $4.5M annually. Add rework (20% of project value), and margins drop 5+ points. 𝐂𝐌𝟐: 𝐌𝐚𝐤𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐕𝐢𝐬𝐢𝐛𝐥𝐞 𝐁𝐞𝐟𝐨𝐫𝐞 𝐓𝐡𝐞𝐲 𝐂𝐨𝐬𝐭 𝐌𝐢𝐥𝐥𝐢𝐨𝐧𝐬 🔍 Configuration Management prevents engineering decisions from becoming downstream disasters. Traceable information from cradle to grave supported by closed-loop change management, enabling accurate “as-designed,” “as-built,” and “as-maintained” baselines at all times. When CM2 is applied: → CFO sees accurate cost-to-complete (prevents downstream explosions) → COO scales globally (validated configurations prevent chaos) → CEO decides faster (traceable from design to field) 𝐘𝐨𝐮𝐫 𝐓𝐮𝐫𝐧 🎯 Does your leadership understand that engineering "saves" 10% but locks in 80% of costs? How do you make engineering's downstream impact visible? #CM2 #CM #ConfigurationManagement #PLM #Quality