Conceptual Design Evaluation

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 

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.

Evaluation methods are examined in this tool through a structured framework that helps practitioners select approaches aligned with their specific goals, questions, and constraints. The document guides users through understanding the types of evidence needed, feasibility considerations, and how to choose methods that match the intended use of findings. The document includes the following key elements: – A step-by-step tool for selecting evaluation methods based on purpose, use, and questions – A classification of evaluation types including impact, performance, formative, and developmental evaluations – Criteria for method selection, including rigour, participation, timescale, and cost – Overview of common evaluation methods such as RCTs, contribution analysis, and outcome harvesting – Guidance on mixing methods for comprehensive understanding – Tables mapping evaluation questions to appropriate methods – Checklists for assessing feasibility and usefulness – Examples illustrating how method choices align with stakeholder needs and program stages The guidance emphasizes that method selection is not about technical preference but about contextual relevance, decision-making utility, and strategic fit. It encourages evaluators to prioritize use-driven design, adapt methods to available resources, and ensure that evidence generated is credible, actionable, and aligned with stakeholders’ needs.

"Will this concept succeed in the market?" Most companies answer this question with focus groups, surveys, and executive intuition. These methods have a low success rate. The alternative: The Customer Scorecard—our "virtual customer laboratory." Instead of asking customers to imagine how they'd use a new product, we evaluate concepts against the specific outcomes that hundreds of customers have already told us matter most. How it works: - Concepts are scored against underserved customer outcomes - Ideas that improve satisfaction of many underserved outcomes score highest - Cost, effort, and risk factors are integrated into the evaluation - Top concepts move into development with confidence The advantage: Predicting success before investing in development. A concept that addresses major underserved outcomes with reasonable development requirements will succeed. A concept that doesn't, won't. The result: An 86% success rate for launched products, compared to a 17% industry average. How would your development decisions change if you could predict market success with 86% accuracy?

A conceptual analysis of chemical processes involves the high-level evaluation and design of a chemical process before detailed engineering begins. It focuses on understanding the overall process feasibility, material and energy flows, technology selection, and economic and environmental impact. The key elements include: Process Objectives: Define the desired products, production capacity, and quality. Feedstock and Product Analysis: Identify raw materials, product specifications, and by-products. Reaction and Separation Pathways: Choose suitable chemical reactions and separation methods. Block Flow Diagrams (BFDs): Simplified diagrams showing major process steps. Mass and Energy Balances: Estimate material and heat requirements. Technology Screening: Compare alternatives for reactors, separators, and utilities. Safety and Environmental Considerations: Identify potential hazards and emissions. Economic Evaluation (Preliminary): Estimate capital and operating costs, and profitability. This analysis sets the foundation for process synthesis, simulation, and optimization, guiding the design toward technically viable and economically sound solutions. Let me know if you want a template or example of a conceptual analysis for a specific chemical process.

CONCEPTUAL DESIGN OF Wastewater Treatment Plant 🌊 Advancing Wastewater Treatment Plant Design: Technical Insights 🌍 Designing wastewater treatment plants (WWTPs) involves a blend of scientific rigor, innovative methodologies, and practical case studies. My recent research outlines a structured framework addressing challenges in WWTP conceptual design, with a strong focus on technical advancements. 🔬 Key Methodological Contributions 1️⃣ Conceptual Design Approach Qualitative knowledge-based and numerical approaches. Novel hierarchical generation and multicriteria evaluation methodology. 2️⃣ Process Models Biological Nitrogen Removal: Comprehensive models addressing nitrification and denitrification. Phosphorus Removal: Detailed mechanistic and empirical modeling. Settling Processes: Integration of operational dynamics and performance metrics. Plant-Wide Integration: Holistic models ensuring consistency and operational reliability. 3️⃣ Case Studies Highlight Case Study 1: Selection of biological nitrogen removal processes in carbon and nitrification WWTPs. Case Study 2: Optimization of PI control loops for nitrogen removal. Case Study 3: Redesign for simultaneous organic carbon, nitrogen, and phosphorus removal. Case Study 4: Multivariate analysis for plant-wide control strategy evaluation. Case Study 5: Incorporating uncertainty into the evaluation process. 4️⃣ Uncertainty Analysis Quantifying impacts of parameter variations on design choices. Sensitivity analysis to ensure robustness of selected alternatives. 🔧 Research Applications Systematic handling of critical design decisions. Real-time optimization of plant-wide processes. Evaluation of trade-offs for multi-objective optimization. 📈 Future Directions Expanding methodologies to broader biochemical processes. Enhancing design frameworks for retrofit and grassroots applications. Leveraging experience reuse for knowledge transfer across design blocks. 🌟 This research bridges the gap between theoretical models and practical applications, ensuring environmentally compliant and cost-effective WWTP designs. 💡 Let's connect to discuss advanced methodologies in wastewater treatment, sustainability, and process optimization. #WastewaterEngineering #ProcessModeling #WWTPDesign #EnvironmentalEngineering #Sustainability

🔍 30% vs 60% vs 90% Design Review – What Really Changes? In EPC projects, design reviews are not milestones—they are risk control gates. Each stage answers a fundamentally different question. Missing that intent is where projects start losing money, time, and reliability. Let’s go deeper 👇 ➡️ 30% Design Review – Concept Freeze Stage This is the highest-impact stage of the entire project. At 30%, you are not validating details—you are validating the engineering philosophy. Key focus areas: 🔹Process selection, design basis & philosophy 🔹PFD finalization and initial P&IDs 🔹Technology choices and major equipment configuration 🔹Preliminary plot plan & plant layout strategy 🔹Utility philosophy and system boundaries 🔹Identification of major risks (HAZID, SIMOPS considerations) Critical checks: ✔ Is the design aligned with project objectives (cost, safety, operability)? ✔ Are we locking in any decisions that will limit future flexibility? ✔ Have we identified “high-cost-of-change” areas early? 👉 Core Question: Are we designing the RIGHT system? 🔹 60% Design Review – Integration & Optimization Stage This is where most projects either stabilize… or start drifting. At 60%, discipline-wise designs exist—but the real challenge is integration. Key focus areas: 🔹Fully developed P&IDs with control philosophy 🔹Line list, valve list, and equipment list (near final) 🔹Piping layout, routing, and stress design inputs 🔹Electrical load list, SLDs, and cable routing philosophy 🔹Instrumentation architecture (SIS, control loops, I/O allocation) 🔹3D model development (clash-prone stage) Critical reviews: ✔ HAZOP (process safety validation) ✔ Interdisciplinary clash detection (piping vs structure vs E&I) ✔ Operability & maintainability (access, isolation, lifting philosophy) ✔ Constructability inputs from site/field teams 👉 Core Question: Will this design WORK in real conditions? 🔹 90% Design Review – Constructability & Assurance Stage At this stage, design should be complete—not evolving. The focus shifts from “designing” to ensuring buildability and clarity. Key focus areas: 🔹IFC (Issued for Construction) drawings readiness 🔹Isometrics, GA drawings, and support details 🔹Final MTO (Material Take-Off) and BOM validation 🔹Vendor data integration (critical for rotating/static equipment) 🔹Final 3D model review (clash-free expectation) Critical checks: ✔ Constructability (sequencing, access, welding feasibility) ✔ Completeness (no missing tags, specs, or inconsistencies) ✔ Alignment with procurement & construction schedule ✔ Compliance with codes, standards, and client requirements 👉 Core Question: Can we BUILD this without surprises? ✨ Found this helpful? 🔔 Follow me Krishna Nand Ojha, and my mentor Govind Tiwari, PhD, CQP FCQI Tiwari,PhD for insights on Quality Management, Continuous Improvement, and Strategic Leadership Let’s grow and lead the quality revolution together! 🌟 #Engineering #OilAndGas #EPC #DesignReview

Oil and gas facility projects involve a complex series of stages, each with specific objectives, content, and deliverables. 1. Conceptual Design: Objective: Define the basic technical and economic feasibility of the project, select technology. Content: Confirm feasibility, develop process design, develop PFD, basic equipment list, facility layout concepts, rough order of magnitude (ROM) cost estimate. Deliverables: Feasibility report, PFD, basic engineering package, preliminary equipment list, cost estimate (+\-30%) 2. FEED: Objective: Refine the conceptual design with more detailed engineering calculations and equipment selection. Content: Develop P&IDs, equipment datasheets, control system philosophy, preliminary hazard analysis (PHA). Deliverables: Updated engineering package with P&IDs, equipment datasheets, piping layouts, PHA report, updated cost estimate (+\- 10%) 3. Detail Engineering Design: Objective: Develop detailed engineering drawings and specifications for procurement, construction, and fabrication. Content: Create piping ISO, electrical schematics, control system design documents, equipment layout drawings, material requisitions. Deliverables: Complete engineering package with detailed drawings, specifications, bills of materials (BOMs), piping stress analysis reports, control system design documents. 4. Procurement: Objective: Purchase all necessary equipment, materials, and construction services based on engineering specifications. Content: Develop bid packages, solicit bids from vendors, evaluate bids, negotiate contracts. Deliverables: Procurement contracts, inspection and testing plans for purchased equipment. 5. Construction: Objective: Physically build the facility based on engineering designs and specifications. Content: Site preparation, equipment installation, piping and electrical work, construction progress monitoring, quality control/quality assurance (QA/QC). Deliverables: Completed facility, as-built drawings reflecting any field modifications, construction completion report. 6. Pre-commissioning and Commissioning: Objective: Ensure all equipment and systems are installed correctly, function as designed, and are ready for operation. Content: Equipment cleaning, pre-operational testing, instrument calibration, control system loop checks, commissioning procedures. Deliverables: Commissioning report documenting successful testing and functionality of all systems. 7. Start-up and Performance Testing: Objective: Gradually bring the facility online and verify it meets production capacity and performance targets. Content: Initial production operations, performance monitoring, adjustments and troubleshooting as needed. Deliverables: Performance test report demonstrating the facility meets guaranteed production capacity and operating efficiency.

#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

For students and clients investigating new territories or working quickly through ideation sessions, I turn to the 12 principles of bad design as an evaluation tool. These are the most common missteps made in the process of developing a new product or service. For each, we reflect on the idea and see what unintended consequences you may be building as part of your concept development: CULTURAL APPROPRIATION: In what way(s) is the idea borrowed (“borrowed”) from a culture you or your team are not representative of? BAND-AID: In what way(s) is the idea failing to recognize the root cause of the problem, instead serving as a temporary solution? UNFAIR CONTROL: In what way(s) is the idea leading to unfair control over the user/customer? (i.e. privacy and data, restrictive ecosystems) EXPLOITATION: In what way(s) does the new idea inappropriately expose or objectify the community it aims to serve? STAKEHOLDER ABANDONMENT: In what way(s) is the idea grounded in decisions made without considering the needs of all stakeholders? INEFFICIENCY: In what way(s) is the idea creating new inefficiencies, unnecessary complexity, confusion, or delay? ENVIRONMENTAL & SOCIAL IMPACT: In what way(s) is the idea utilizing resources from finite sources, or at-risk of creating harsh conditions for workers? DISPLACEMENT: In what way(s) is the idea displacing communities or businesses in its effort to automate or streamline? DECREASED SAFETY: In what way(s) is the idea creating, or contributing to, unsafe conditions? INAPPROPRIATE: In what way(s) is the idea generally offensive or inappropriate? BORING: In what way(s) is the idea just plain boring? INEQUITY: In what way(s) is the idea contributing to inequity? (Not ensuring everyone has access, no matter their unique needs or circumstances) Learn more in our Less Bad Design Toolkit and comment below if there's anything you'd add! Would love to update this list in the future. https://lnkd.in/gZ25w7KA