I was once responsible for coordinating the Preliminary Design Review (PDR) for an airplane that, quite literally, wouldn’t get off the ground. At the time, I was working for the largest aerospace engineering company in the world—renowned for creating cutting-edge fighter jets. With such a wealth of experience and reputation, you’d think success in any airplane project would be guaranteed. Think again. This project fell victim to the same pitfalls that can derail any technical development effort. The fundamental forces of flight—lift, weight, thrust, and drag—are concepts most engineering students learn to calculate early on. So how did this project progress so far without an accurate assessment of the design's weight? As is often the case, the problem had as much to do with people and processes as with engineering. The team behind the project was an exceptionally innovative group of idea-makers, deeply trusted by their customer. Their relationship was so close, it seemed they had collectively fallen in love with the concept of the airplane. In their enthusiasm, they overlooked critical systems engineering principles like rigorous requirements validation, stakeholder alignment, and continuous integration of data into decision-making processes. One glaring oversight highlighted this flaw: they forgot to account for the weight of the cables in the initial design calculations. These cables alone were heavy enough to push the design beyond allowable weight limits, rendering the airplane incapable of flight. Physics doesn’t lie, and enthusiasm alone can’t overcome it. This experience underscored key systems engineering lessons that every project should adhere to: 🔍 Thorough Requirements Analysis: Ensure all aspects of the system, including seemingly minor components, are accounted for in design and requirements validation. 🔄 Iterative Design and Review: Conduct continuous, iterative evaluations of the design to catch issues early, rather than allowing them to compound over time. 🤝 Stakeholder Objectivity: Foster open communication and a healthy level of skepticism, even with trusted customers, to avoid "groupthink" or over-attachment to a concept. 📊 Emphasis on Quantitative Data: Balance creativity and innovation with grounded, quantitative assessments to ensure feasibility. Ultimately, this project served as a powerful reminder: no amount of innovation or trust can replace the need for disciplined systems engineering practices. #SystemsEngineering #EngineeringLessons #SystemsThinking #LessonsLearned #PhysicsMatters #LearnFromFailure
Conceptual Design Evaluation
Explore top LinkedIn content from expert professionals.
Summary
Conceptual design evaluation is the process of reviewing early design ideas to assess their viability, creativity, and alignment with project goals before moving into detailed planning. It helps teams explore alternatives and make informed decisions about which direction to pursue.
- Explore possibilities: Take time to brainstorm and sketch multiple solutions before settling on one, allowing room for creativity and innovation.
- Check feasibility: Assess rough calculations, basic layouts, and material choices early to spot potential issues and avoid costly mistakes later on.
- Engage stakeholders: Invite feedback from architects, engineers, and other team members to refine concepts and ensure the design meets both functional and aesthetic requirements.
-
-
𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐃𝐞𝐬𝐢𝐠𝐧 + 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐖𝐨𝐫𝐤 𝐓𝐡𝐞𝐨𝐫𝐲: 𝐓𝐡𝐞 𝐇𝐲𝐛𝐫𝐢𝐝 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐟𝐨𝐫 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐚𝐥 𝐄𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐃𝐞𝐬𝐢𝐠𝐧 (𝐆𝐃): GD is particularly effective in the early 𝒄𝒐𝒏𝒄𝒆𝒑𝒕𝒖𝒂𝒍 𝒅𝒆𝒔𝒊𝒈𝒏 𝒔𝒕𝒂𝒈𝒆, where it explores the entire 𝒅𝒆𝒔𝒊𝒈𝒏 𝒔𝒑𝒂𝒄𝒆 𝒐𝒇 𝒗𝒂𝒓𝒊𝒐𝒖𝒔 𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒂𝒍 𝒄𝒐𝒏𝒇𝒊𝒈𝒖𝒓𝒂𝒕𝒊𝒐𝒏𝒔. This approach excels at investigating various geometric typologies for complex and organic shapes through evolutionary principles as it is superior when handling multiple competing objectives simultaneously, such as achieving an elegant structural skeleton with minimal geometric constraints within the architectural space, vs balancing structural mass, weight, and material (including construction cost and buildability), vs ensuring the structural stiffness required for the target deformation and serviceability combined with load path carrying capacity. Moreover, when trained by a well-engineered parametric model, GD handles complex engineering constraints and 𝒏𝒐𝒏𝒍𝒊𝒏𝒆𝒂𝒓 𝒓𝒆𝒍𝒂𝒕𝒊𝒐𝒏𝒔𝒉𝒊𝒑𝒔 between objectives effectively. As a result, it can uncover 𝒏𝒐𝒗𝒆𝒍 𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒂𝒍 𝒄𝒐𝒏𝒇𝒊𝒈𝒖𝒓𝒂𝒕𝒊𝒐𝒏𝒔 𝒕𝒉𝒂𝒕 𝒎𝒂𝒚 𝒏𝒐𝒕 𝒃𝒆 𝒊𝒎𝒎𝒆𝒅𝒊𝒂𝒕𝒆𝒍𝒚 𝒊𝒏𝒕𝒖𝒊𝒕𝒊𝒗𝒆. However, this approach is computationally expensive due to its exploratory and evolutionary nature while converging towards the target pool of solutions. 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐖𝐨𝐫𝐤 𝐓𝐡𝐞𝐨𝐫𝐲 (𝐕𝐖𝐓): In cases where the 𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒂𝒍 𝒕𝒐𝒑𝒐𝒍𝒐𝒈𝒚 𝒊𝒔 𝒑𝒓𝒆𝒅𝒆𝒕𝒆𝒓𝒎𝒊𝒏𝒆𝒅 𝒘𝒊𝒕𝒉 𝒕𝒉𝒆 𝒐𝒃𝒋𝒆𝒄𝒕𝒊𝒗𝒆 𝒕𝒐 𝒐𝒑𝒕𝒊𝒎𝒊𝒛𝒆 𝒎𝒂𝒕𝒆𝒓𝒊𝒂𝒍 𝒐𝒏𝒍𝒚, VWT converges much faster towards the optimum solution than GD. This is especially true for 𝒇𝒊𝒙𝒆𝒅 𝒈𝒆𝒐𝒎𝒆𝒕𝒓𝒚 scenarios where trade-offs exist solely between material mass and target stiffness/deformation and load path carrying capacity without altering the geometry. VWT directly quantifies each member's contribution to structural performance based on the energy consumed per unit volume. Consequently, members with higher energy per unit volume are increased in size to a larger extent than those with lower energies per unit volume. Conversely, members with small energy per unit volume are reduced in size if they remain acceptable for strength considerations. Moreover, VWT facilitates the identification of redundant elements with negligible contributions to structural deformation and capacity performance under all possible and transient loading scenarios, allowing for their elimination. 𝐅𝐢𝐧𝐚𝐥𝐥𝐲, combining the Hybrid approach of using GD for conceptual exploration with VWT for fixed typology refinement can yield the most optimal and desired results. 𝑺𝒐, 𝒅𝒐𝒏'𝒕 𝒐𝒗𝒆𝒓𝒄𝒐𝒎𝒑𝒍𝒊𝒄𝒂𝒕𝒆 𝒕𝒉𝒊𝒏𝒈𝒔 𝒃𝒚 𝒓𝒆𝒍𝒚𝒊𝒏𝒈 𝒔𝒐𝒍𝒆𝒍𝒚 𝒐𝒏 𝑮𝑫 𝒂𝒍𝒍 𝒕𝒉𝒆 𝒕𝒊𝒎𝒆.
-
What is a Concept Matrix in Lean Design? A Concept Matrix is a structured decision-making tool used during Lean design (for layouts, processes, or systems). It allows teams to compare different layout or design concepts against a common set of criteria. Instead of choosing a layout based on opinion or hierarchy, the concept matrix provides an objective, data-driven approach aligned with Lean principles (waste reduction, flow, and customer value). Application of a Concept Matrix in Lean Layout Design Define Objectives: Clarify the goals of the design: e.g., reduce motion waste, improve material flow, minimize lead time, or enhance visibility for visual management. Generate Alternative Concepts Create 2–4 possible layout options (spaghetti diagrams, block layouts, cell configurations). Each concept should represent a different way of achieving the same objectives. Select Evaluation Criteria: Common Lean-driven criteria might include: Distance traveled by material (flow efficiency) Operator ergonomics and safety Visibility and ease of supervision Space utilization Flexibility for change Cost to implement Weight the Criteria Assign importance values to criteria (e.g., flow = 30%, cost = 20%, safety = 20%, flexibility = 15%, space use = 15%). Score Each Concept: Rate each layout (1–5 or 1–10) against each criterion. Multiply by weights to normalize importance. Compare & Select The highest-scoring concept is typically the most Lean-aligned design. If scores are close, revisit assumptions or combine strong features from multiple concepts. Benefits of Using a Concept Matrix in Lean: Removes bias and "loudest voice wins" decision-making. Encourages cross functional alignment (operators, engineers, leaders all have input). Balances short term feasibility with long term Lean transformation goals. Provides a documented rationale for design choices (helpful for leadership approval).
-
Most mechanical engineers are just expensive CAD operators. That's because you probably jumped straight into Detailed Design without spending enough time on Concept Design. Think of it like planning a road trip. Concept Design is deciding whether to drive, fly, or take a train. It's choosing between visiting beaches or mountains. It's figuring out if you want adventure or relaxation. Detailed Design? That's booking specific hotels, planning exact routes, and scheduling bathroom breaks. Here's the thing most engineers miss... Concept Design is where you: 1. Explore multiple solutions (yes, even the crazy ones) 2. Play with different mechanisms and architectures 3. Do rough calculations and feasibility checks 4. Create proof-of-concepts with cardboard and duct tape 5. Ask "what if?" without worrying about tolerances Detailed Design is where you: 1. Finalize dimensions down to the third decimal 2. Specify materials and surface finishes 3. Create manufacturing drawings 4. Run FEA simulations 5. Document every single fastener I've seen teams spend months perfecting a design in CAD, only to realize they picked the wrong mechanism in the first place. Like optimizing a ladder when what you really needed was an elevator. The best products spend 30-40% of their development time in Concept Design. Tesla didn't start with detailed drawings of battery packs – they first figured out if laptop batteries could even power a car. Pro tip: Next time you're tempted to fire up SolidWorks immediately, grab a whiteboard instead. Sketch 5 different ways to solve the problem. Your future self will thank you. What's your Concept Design to Detailed Design time ratio? Are you guilty of jumping into CAD too soon? #DetailedDesign #ConceptDesign #CAD
-
#structuraldesign: Conceptual and Schematic Design Stage Conceptual and Schematic Design are two key phases in the overall process of designing a structure, whether it be a building, bridge, or any other type of construction. These phases involve developing the initial ideas and translating them into a preliminary design that outlines the basic structure and its components. #conceptualdesign: The conceptual design phase is the initial stage for establishing the overall vision and key design concepts. It involves understanding the project requirements, constraints, and objectives. To achieve these objectives you must; 1. Identify the purpose and function of the structure. 2. Determine the type of structure (e.g., residential building, industrial facility, bridge). 3. Consider architectural and aesthetic preferences. 4. Evaluate the feasibility of different structural systems. These help the #structuralengineer in determining the Preliminary sketches or drawings illustrating the basic form and layout and also assist in high-level decisions on structural systems and materials. #Schematicdesign: The schematic design phase is a more detailed step that follows the conceptual design. It involves refining the initial concepts and developing a more structured and detailed representation of the proposed structure. The following activities are carried out: 1. Defining the structural grid and layout. 2. Allocating loads and determining load paths. 3. Selecting appropriate structural elements and systems. 4. Preliminary sizing of structural components. 5. Considering foundation types and support systems. During this phase, the following is achieved: 1. Schematic drawings showing the key structural components and systems. 2. Preliminary calculations and analyses to verify the feasibility of the design. 3. Initial cost estimates. During both conceptual and schematic design phases, collaboration between architects, structural engineers, and other stakeholders is crucial. Iterative discussions and refinements take place to ensure that the final design meets functional, aesthetic, and safety requirements. It is important to note that these phases are part of a larger process that includes subsequent stages such as design development, construction documents, and construction administration. Each phase builds upon the previous one, leading to a progressively more detailed and refined design. Let me know in the comments sections about what you think happens in the conceptual and schematic Phases of structural design development. #structuralengineering #structuraldesign #civilengineering #steeldesign #construction #engineering
-
+5