Optimizing Manufacturing Performance

Manufacturing is often described in terms of scale. Today, scale alone is not enough. Competitiveness depends on how effectively research, engineering and production operate as one integrated system. This is where industrial advantage is built. Over the years, Bhuj has evolved in this direction. Not simply as a large manufacturing site, but as an ecosystem where development, validation and industrialization are closely aligned. One result of this approach is the ability to bring new products to market in 6 to 8 weeks. This is not only about speed. It reflects the depth of integration across the entire value chain. In increasingly fragmented and fast-moving markets, this capability becomes critical. For a global group, manufacturing excellence is not an operational objective. It is a strategic asset. It defines how quickly innovation can be translated into products. It determines how reliably different markets can be served. It shapes long-term resilience. Bhuj reflects this clearly. The future of manufacturing will not be defined by size, but by the quality of integration across research, engineering and production. #BKTTires #Manufacturing #Bhuj

In an automobile manufacturing industry, maintaining the Cost of Quality (CoQ) involves a balanced approach between preventing defects, monitoring quality during production, and addressing any failures as efficiently as possible. Here are strategies tailored to an automobile manufacturing setting like HMCL Niloy Bangladesh Ltd(Hero Motorcycle Manufacturing plant). 1. Invest in Prevention to Minimize Failures Prevention is the most cost-effective way to maintain quality. This focuses on avoiding defects from occurring by designing robust processes and systems. a. Supplier Quality Management for development strong relationships. b. Process Design for use advanced quality planning (AQP) and design for manufacturability(DFM). c. Employee Training for continuous training for employees on quality standards. d. Preventive Maintenance and Regular maintenance of machines and equipment to prevent breakdowns and increase efficiency. 2. Efficient Appraisal Systems Automated Inspection Systems: Use AI-driven or computer-vision inspection systems to monitor components for defects in real-time, reducing manual inspection costs. Statistical Process Control (SPC): Use SPC tools to monitor production processes and detect any variances early, allowing for corrective action before defects occur. In-Line Quality Control: Implement in-line inspections, testing, and gauging to identify defects as they occur, rather than at the end of production, saving rework costs. 3. Minimize Internal Failure Costs Internal failure costs arise from defects identified before the product reaches the customer. Root Cause Analysis: Use methods like the 5 Whys to identify and eliminate the root cause of defects, preventing recurrence. Lean Manufacturing Techniques: Implement lean methods such as Six Sigma, 5S, or Kaizen to reduce waste, optimize workflows, and eliminate non-value-adding activities that lead to defects. 4. Control External Failure Costs External failure costs occur when a defective product reaches the customer Product Testing and Validation: Ensure comprehensive final testing of vehicles, including endurance and environmental testing, before they are shipped to customers Field Data Collection and Analysis: Use data from warranty claims, customer complaints, and field failures to identify trends and areas for improvement in future production runs. Proactive Customer Service: A strong customer service system can quickly address complaints, reduce the impact of defects, and preserve brand reputation. 5. Utilize Data-Driven Quality Management Quality Management system (QMS): Implement a robust QMS to track quality data across the product lifecycle, in-process inspections, and customer feedback. 6. Cross-functional Collaboration Quality management is not the responsibility of the quality control team alone. Collaborate across departments—R&D, production, procurement, and customer service—to ensure that quality is embedded throughout the product lifecycle.

Cost Evaluation Techniques 🧮 1. Zero-Based Costing (ZBC) A method where each cost element is justified from scratch (“zero base”) rather than using historical prices or vendor quotes. Purpose: To identify what a product should cost based on its fundamental materials, labor, overheads, and profit. Use Case: Negotiating with suppliers; cost transparency analysis; design-to-cost projects. 💡 2. Should-Be Cost (SBC) / Should-Cost Analysis Estimates what a product should cost if produced efficiently, considering realistic input costs, manufacturing processes, and logistics. Purpose: Helps buyers understand supplier pricing structures and negotiate better deals. Use Case: Strategic sourcing, supplier benchmarking, and value engineering. 💰 3. Total Cost of Ownership (TCO) Evaluates the total cost incurred over the product’s entire lifecycle—not just the purchase price. Components Include: Purchase cost Transportation & logistics Installation & commissioning Maintenance & operation Downtime & disposal costs Use Case: Evaluating long-term value, particularly for capital goods and complex systems. 🚢 4. Landed Cost Approach Calculates the total cost of a product once it arrives at the buyer’s location. Includes: Purchase price + transportation + insurance + customs duties + taxes + handling charges. Use Case: Import/export decision-making; supplier comparisons across regions. ⚙️ 5. Activity-Based Costing (ABC) Assigns costs to products/services based on the activities required to produce them. Purpose: Identifies high-cost activities and inefficiencies in the procurement process. Use Case: Indirect cost analysis; process optimization. 📈 6. Life Cycle Costing (LCC) Similar to TCO, but includes environmental and end-of-life costs. Use Case: Sustainability-oriented procurement and long-term investment analysis. 📊 7. Parametric Cost Estimation Uses mathematical models or historical data to estimate costs based on key parameters (e.g., weight, size, power). Use Case: Early-stage cost estimation for new designs or unproven suppliers. 🧩 8. Value Analysis / Value Engineering (VA/VE) Examines functions of a product or service to improve value by reducing cost without compromising quality. Use Case: Collaborative supplier development and continuous improvement initiatives. 🧾 9. Target Costing Begins with a desired market price and profit margin to determine the maximum allowable cost for production. Use Case: Cost planning during product design and supplier collaboration. 🌍 10. Cost Benchmarking Compares supplier or internal costs with industry standards, peers, or market averages. Use Case: Price validation, supplier performance evaluation. 📦 11. Clean Sheet Costing A detailed breakdown of costs built from the ground up—material, labor, overhead, logistics, and profit Use Case: Advanced negotiations and supplier transparency discussions.

#LeanManufacturing #OperationalExcellence #ContinuousImprovement #Kaizen #5S #VisualManagement #VisualFactory #LeanTransformation #FactoryLayout #IndustrialEngineering #Manufacturing #Production #SafetyFirst #EHS #TPM #StandardWork #ProcessImprovement #SmartFactory #OperationalEfficiency #LeanLeadership #ArthurBuhaichenko Before & After: A Simple Layout Change That Drives a Lean Transformation One of the biggest misconceptions about Lean is that it requires expensive automation or major capital investments. In reality, some of the highest-impact improvements come from redesigning the workplace itself. The transformation shown here is a great example. Before, the production area had undefined traffic routes, unclear work zones, and shared space for pedestrians, forklifts, and materials. This created unnecessary motion, safety risks, and wasted time. After, the workplace became a Visual Factory where the environment itself guides people to work safely and efficiently. Several Lean tools have been implemented: ✅ 5S – Unnecessary items were removed, workstations were organized, and standards were established to maintain a clean and efficient workplace. ✅ Visual Management – Floor markings, color coding, safety signs, and clear labels make information visible at a glance, reducing confusion and improving decision-making. ✅ Traffic Flow Management – Dedicated pedestrian walkways and separate forklift lanes eliminate conflicts between people and vehicles, significantly improving safety. ✅ Factory Layout Optimization – Equipment and work areas are arranged to support smoother material flow while minimizing unnecessary transportation and motion. ✅ Standard Work – Standardized markings and visual instructions ensure everyone follows the same best practices every day. ✅ Safety Management (EHS) – Clearly marked crossings, hazard zones, and mandatory PPE signs help reduce workplace accidents and create a safer environment. ✅ Waste Elimination (Muda) – The new layout minimizes unnecessary movement, transportation, waiting, and other forms of waste that negatively impact productivity. The most valuable outcome isn’t just a cleaner factory—it’s a workplace that communicates with employees. Workers immediately know where to walk, where forklifts operate, where materials belong, and how to perform tasks safely. This is the essence of Lean: creating systems where the process naturally supports the right behavior instead of relying solely on procedures or supervision. A well-designed workplace improves safety, productivity, quality, and employee engagement—without purchasing a single new machine. Continuous improvement often starts with a roll of floor tape, not a million-dollar investment.

CAPEX estimation for low maturity technology projects is challenging, particularly when we talk about new equipment. Yet, we still need to be able to get fairly accurate figures to justify the viability of the technology and secure funding for its development. How to do it? Here is what we usually do for hydrogen and carbon capture projects. 1. Define the Project Scope Start by clearly outlining all project boundary, objectives and deliverables. Identify every cost elements required for full scale implementation, from engineering and design to construction and commissioning, while distinguishing between one-off investments and those that can be standardised. 2. Develop the first-of-a-kind CAPEX Estimate • Detailed Bottom-Up Analysis: Break down the project into its individual components, accounting for bespoke engineering, pilot testing, specialized installations, and comprehensive project management. • Risk and Contingency: Due to the innovative nature and inherent uncertainties of FOAK projects, incorporate generous contingencies to cover design modifications, unforeseen challenges, and regulatory uncertainties. • Documentation: Maintain thorough records of assumptions and decisions made during this phase, as these will inform future projects. 3. Estimate to the nth-of-a-kind estimate with learning curves Leverage the insights from the FOAK phase to isolate repeatable cost elements. With each subsequent build, learning curves drive efficiencies: • Standardize Processes: As you replicate the project, streamline designs and processes. • Realize Efficiency Gains: Experience leads to better vendor relationships and operational refinements, translating into significant cost reductions for repeatable components. • Adjust Estimates: Update your cost models to reflect these improvements, using your own or reported learning curves, ensuring more accurate and lower capital expenditure projections for future projects. 4. Implement Continuous Improvement Regularly revisit and refine both FOAK and NOAK estimates. As more operational data becomes available, adjust your assumptions and conduct sensitivity analyses to maintain a robust, realistic capex projection. How do you estimate CAPEX for your technology? #Innovation #research #hydrogen #carboncapture #science #scientist #chemicalengineering

Hot take🔥 A dirty machine shop is a lazy shop, specifically lazy management. On the contrary your shop should be stunning ⚙️🤩✨💎 I'm sorry, but this may be a hard pill to swallow... If you cannot even pick up the dirt... how can anyone trust you to make their mission critical parts where other people's lives may even depend on your quality? Example: Back in 2007 me and my former roomate from Georgia Institute of Technology bought a 20 year old "mom and pop" traditional machine shop with the goal of modernizing and transforming into an aerospace supplier. It was crazy dirty. Crap buried under crap. When we measured past on time delivery, it calculated out right at 34% 😳😱 We thew out the stupid consultant methods and implemented practical elements of Lean Manufacturing, not as a program, but as "this is our DNA, this is how we run our business every day". With very little money... We started our continuous improvements with the 5S system for workplace organization and our employees were 100% empowered and responsible for making changes, which even included moving machines around to improve layout and workflow. They knocked it out of the ballbark. With some basic training and using the methods of a NASCAR or Formula 1 pit crew, they created a smooth flowing, fast changeover work place where productivity was not forced... it just was a natural result. In one year we doubled in sales despite the great recession, achieved AS9100 certification and our on time delivery improved to the low 90% range. We reinvested 100% of our profits in upgrading CAM software, 5 axis milling and especially lots and lots of employee training. The following year representatives from Boeing were touring various shops in our area for potential supplier development. They said they had 15-20 minutes to visit. 2 minutes into the visit they stopped and huddled together chatting quiety, while one of them also got on the phone. Then they informed us they'd like to spend a couple more *HOURS* with us if we could free up our schedule that afternoon. Fast forward 30 days later we were a Boeing qualified supplier. Fast forward 1 year later we were awarded several 5 year contracts making 5 axis titanium parts for 787, 777, and 737. Boeing Space called too and asked us to make the docking rings for the ISS and new Dragon and Crew capsules. Fast forward a year after that we were a Boeing Gold Supplier with 99.9% delivery. In 2007 our backlog was about 30 days. Within 5 years our sales was over $10 million, EBITDA was near 20% and more importantly 👉 about 80% of our sales backlog was filled up with long term contracts with a variety of aerospace customers too ( = job security) It all started simply by organizing the shop. You have one life to live. Whatever you decide to do in life... Don't be lazy at it. Chose to be awesome and do the work 💪 Excelsior - Latin: Ever Upward! #aerospace #leanmanufacturing #continuousimprovement #machineshop #ceo

The 17‑Minute Daily Rhythm That Saved a 3‑Shift Operation We didn’t need more meetings. We needed less chaos. Three shifts. Four supervisors. Zero alignment. Every day started late, ran long, and ended with the same excuses: “Waiting on maintenance.” “Quality didn’t clear it.” “Planning changed the order again.” Classic operational noise. We tried adding layers: reports, trackers, escalation chains And it only made it worse. Then we did something counter‑intuitive: We stripped it all down to 17 minutes. No slides. No metrics. No speeches. Just three short cadences: 1️⃣ 5‑minute shift huddle: one metric, one blocker, one decision. 2️⃣ 10‑minute cross‑shift sync: maintenance, planning, quality aligned on the next 8 hours. 3️⃣ 2‑minute floor check: leader walks the constraint zone before touching email. That’s it. The impact? ✅ Line uptime +12% in 60 days. ✅ Expedites down 40%. ✅ People stopped saying “we never hear from each other.” Here’s what most Ops leaders miss: Alignment isn’t a meeting cadence. It’s a trust cadence. Every minute you spend grounding reality together saves an hour of cross‑functional ping‑pong later. The best operations don’t run faster. They run smoother. And smooth is a system Not a mood. ♺ Reshare this — your operations leaders need this clarity. ► For more no‑BS manufacturing and leadership transformation ideas: Join the newsletter → https://lnkd.in/dMGaUj4p

A connected factory without control is just a faster way to make mistakes. When machines share live data, every signal can affect production, so automation needs purpose, reliable data, and clear human responsibility. The point is simple: connecting machines does not automatically make a factory smarter. A connection is useful when it helps production work better, improves maintenance, or makes the process safer. Data is where many problems start. If sensor data is wrong, late, or poorly protected, automated systems can act with confidence on bad information. In a factory, that can affect quality and safety very quickly. Security also needs to move closer to the shop floor. Remote access, controllers, and industrial networks are no longer background infrastructure. They are part of the production system. This is why IT and OT cannot work as separate worlds. Connected production needs shared rules and visible responsibility, so people can understand who owns the data, who controls the process, and how automated decisions are checked. #IndustrialIoT #SmartManufacturing

The future of manufacturing isn’t being built in Silicon Valley. It’s being built in Biel. 🇨🇭 Today at Swiss Smart Factory, I heard the most powerful question: 💡 “What if we stopped optimizing our current business model and started designing for the one we’ll need in 2030?” That question captures why the Swiss Smart Factory model represents the most sophisticated manufacturing innovation approach in Europe. It’s not a technology showcase. It’s a strategic neutrality platform that enables radical collaboration: → Competing automation providers share the same factory floor → Technology vendors design for interoperability, not lock-in → Global corporations and Swiss SMEs access identical capabilities → Academia validates solutions in real production conditions This ecosystem solves Industry 4.0’s biggest failure: The implementation gap. Three shifts happening right now: ⚡ Digital Twins → Cognitive Twins Virtual representations that predict, prescribe, and continuously learn. AI-augmented simulation that gets smarter with every scenario. Automation → Augmentation Industry 5.0 amplifies human capability. Multi-touch collaboration, VR-enabled review, real-time what-if analysis make complex decisions accessible. Integration → Orchestration When 50+ technology partners operate in one innovation space, interoperability becomes survival. Systems must compose and orchestrate, not just integrate. 🎯While other regions compete on labor costs, Swiss manufacturing competes on precision, quality, and innovation velocity. Virtual Twin intelligence combined with SSF’s collaborative ecosystem amplifies exactly these strengths. This is competitive advantage at the system level, not company level. Not future vision. Strategic transformation laboratory. Working today in Switzerland. 🚀 Your question isn’t “What’s our digital transformation roadmap?” It’s “What ecosystems and capabilities enable our future competitiveness?” Are you buying technology or building adaptive capability? #Industry50 #StrategicLeadership #SwissInnovation #ManufacturingExcellence

Smart manufacturing has come a long way. But the journey is just getting started.     Deloitte’s latest Smart Manufacturing and Operations study (https://deloi.tt/4cYqHz6) shows that organizations investing in smart manufacturing are already seeing impressive gains — up to 20% improvements in production output and employee productivity, and 15% in unlocked capacity. Not a bad start!    Even with that momentum, operational complexity, cybersecurity threats, and a persistent workforce gap are slowing down broader adoption — but that’s where the real opportunity lies.    Manufacturers aren’t just wiring up their factories for today — they're building the foundations for automation, AI, and tomorrow’s wave of industrial transformation. Leaders are putting their focus (and budgets) into clean data, cloud, AI, and advanced scheduling and execution systems.     The other crucial piece? The right people, and processes to support them. Human capital remains the least mature area across smart manufacturing initiatives. As automation and AI reshape how work gets done, the organizations that prioritize reskilling their workforce will have a serious competitive edge.    If smart manufacturing once felt like a futuristic concept, the future is here. Now it’s about who can navigate the complexity — and translate investment into resilient, scalable outcomes.