In diaper production, manufacturers produce huge volumes every day. But some critical metrics are still checked only partially: Main quality control methods include: ▪️ Surface-level inspection ▪️ Total absorbent weight ▪️ Lab checks after production These controls are helpful, but they do not show what is happening inside the core. ➡️ Is Super Absorbent Polymer (SAP) well distributed? ➡️ Are some zones under-dosed? ➡️ Is there the correct amount of SAP needed? If quality teams only see part of the data, they can only control partially the product. The next step is simple: Empower teams with tools that allow them to measure 100% of production and access critical quality metrics in real time, directly on the production line. This is how we help manufacturers make data driven decisions and ensure product quality & efficiency. #engineering #bigdata #qualitycontrol #process
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𝗕𝗮𝘁𝗰𝗵 𝗗𝗲𝗿𝗶𝘃𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗦𝗔𝗣 : 𝗔 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗦𝘁𝗲𝗲𝗹 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 Steel Coil Slitting is one of the most common business scenarios in the steel industry — a large 𝗠𝗼𝘁𝗵𝗲𝗿 𝗖𝗼𝗶𝗹 is slit into multiple 𝗖𝗵𝗶𝗹𝗱 𝗖𝗼𝗶𝗹𝘀. The real challenge isn't the slitting itself. It's making sure every quality characteristic stays 𝘁𝗿𝗮𝗰𝗲𝗮𝗯𝗹𝗲 and consistent across all the newly created batches. 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼 ➡️ Mother Coil: 𝟭𝟬𝟬𝟬 𝗺𝗺 width | 𝟭𝟮,𝟬𝟬𝟬 𝗞𝗚 ➡️ Slitting Process ➡️ 4 Child Coils: 𝟮𝟱𝟬 𝗺𝗺 width | 𝟯,𝟬𝟬𝟬 𝗞𝗚 each Since the Child Coils are produced from the same Mother Coil, they already share the same quality and material characteristics. Manually re-entering details such as Heat Number, Steel Grade, Thickness, Tensile Strength, Supplier Batch, and Manufacturing Date for every Child Batch is time-consuming, increases the risk of errors, and can impact batch traceability. 𝗦𝗔𝗣 𝗕𝗮𝘁𝗰𝗵 𝗗𝗲𝗿𝗶𝘃𝗮𝘁𝗶𝗼𝗻 solves exactly this — it automatically transfers the configured batch characteristics from the Mother Coil (𝗦𝗲𝗻𝗱𝗲𝗿 𝗕𝗮𝘁𝗰𝗵) to each Child Coil (𝗥𝗲𝗰𝗲𝗶𝘃𝗲𝗿 𝗕𝗮𝘁𝗰𝗵), based on the derivation strategy set up in the system. ----------------------------------------------------------------- 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀:- -𝗥𝗲𝗱𝘂𝗰𝗲𝗱 Manual Data Entry -𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗱 Data Consistency -𝗔𝗰𝗰𝘂𝗿𝗮𝘁𝗲 Mill Test Certificates (MTC) for Every Batch -𝗙𝗮𝘀𝘁𝗲𝗿 production processing -𝗕𝗲𝘁𝘁𝗲𝗿 compliance and audit readiness ----------------------------------------------------------------- A small piece of configuration, solving a real shop-floor traceability problem and reducing manual effort . #SAP #SAPS4HANA #SAPQM #SAPPP #BatchManagement #BatchDerivation #SteelIndustry #Manufacturing #QualityManagement #SupplyChain #DigitalManufacturing #Industry40 #OpenToWork
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The majority of ERP systems deployed in Indian chemical manufacturing were designed for discrete manufacturing - parts lists, BOMs, assembly sequences. They were not designed for process industries where production is governed by formulations, batch yields vary by run, and a single feedstock change ripples through dozens of downstream products simultaneously. The result: Indian chemical planners carry formulation constraints in their heads, manage batch yield variability on spreadsheets, and run separate, disconnected planning models for production, procurement, and distribution - reconciled manually every planning cycle. This is not a technology gap. It is a planning architecture gap - and it has a direct cost in excess inventory, suboptimal batch utilization, and reactive procurement. Kinaxis® Planning One™ is built for process industries. It plans from formulations, respects batch constraints, and propagates feedstock changes in real time. With Simbus, you can implement and go live with Kinaxis® Planning One™ in just 16 weeks, empowering your chemical manufacturing operations with intelligent planning that improves batch utilization, inventory performance, and supply chain responsiveness. #IndianChemicals #ProcessIndustry #Kinaxis #Simbus #SupplyChainIndia #Simbuzz #PlanningOne
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“Tracing across the steps is our biggest pain point,” a quality leader told us. “Between SAP, other platforms, and handing things off in Excel, there's friction every step of the way.” Others described the same walls: “R&D doesn't connect to what quality is doing overseas.” “We have five to seven systems that each work well, but aren't connected.” “Quality has the data - it's just never visible in a consolidated way.” So when a deviation hits, root cause analysis turns into a scavenger hunt across disconnected systems that can take days or weeks. R&D can't see quality trends; quality can't trace a problem back to a formulation change. Every handoff from lab to pilot to plant loses context. When formulation, test, and quality data live in one connected system, you trace a finished-product issue back to the exact formulation, raw material lot, and process conditions in clicks, not weeks. When something goes out of spec, how long does it take your team to find the cause? See connected R&D, quality, and production → https://hubs.la/Q04lpZMp0
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𝗕𝗲𝗮𝘀 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝟮𝟬𝟮𝟲.𝟬𝟲: the SAP Web Client continues to be a key focus in the evolution of Beas. With this release, we further expand the functionality available in this environment by introducing new core manufacturing capabilities for production management. Some of the highlights include: ✅ 𝗪𝗼𝗿𝗸 𝗢𝗿𝗱𝗲𝗿 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗪𝗲𝗯 𝗖𝗹𝗶𝗲𝗻𝘁 (from creating Work Orders to managing positions and tracking active production times) ✅ 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀, with the ability to create and maintain BOMs and Routings directly in the Web Client. ✅ 𝗔 𝗻𝗲𝘄 𝗦𝗮𝗹𝗲𝘀 𝗢𝗿𝗱𝗲𝗿 𝘁𝗼 𝗪𝗼𝗿𝗸 𝗢𝗿𝗱𝗲𝗿 𝘄𝗼𝗿𝗸𝘀𝗽𝗮𝗰𝗲 that helps production planners efficiently transform customer demand into manufacturing orders. ✅ 𝗔 𝗻𝗲𝘄 𝗜𝘁𝗲𝗺 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘃𝗶𝗲𝘄, giving users a complete visual overview of an item's BOM, routing, resources, tools and operations in one place Beyond the new functionality, the release also delivers practical improvements where they matter most: ⚡ Faster Goods Issue processing for high-volume transactions 📅 Smarter MRP validation with automatic factory calendar checks to help avoid planning issues before they happen Which enhancement will have the biggest impact on your manufacturing operations? https://ow.ly/aisr30sXCLf
Beas Manufacturing 2026.06 Release Notes
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𝗕𝗲𝗮𝘀 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝟮𝟬𝟮𝟲.𝟬𝟲: the SAP Web Client continues to be a key focus in the evolution of Beas. With this release, we further expand the functionality available in this environment by introducing new core manufacturing capabilities for production management. Some of the highlights include: ✅ 𝗪𝗼𝗿𝗸 𝗢𝗿𝗱𝗲𝗿 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗪𝗲𝗯 𝗖𝗹𝗶𝗲𝗻𝘁 (from creating Work Orders to managing positions and tracking active production times) ✅ 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀, with the ability to create and maintain BOMs and Routings directly in the Web Client. ✅ 𝗔 𝗻𝗲𝘄 𝗦𝗮𝗹𝗲𝘀 𝗢𝗿𝗱𝗲𝗿 𝘁𝗼 𝗪𝗼𝗿𝗸 𝗢𝗿𝗱𝗲𝗿 𝘄𝗼𝗿𝗸𝘀𝗽𝗮𝗰𝗲 that helps production planners efficiently transform customer demand into manufacturing orders. ✅ 𝗔 𝗻𝗲𝘄 𝗜𝘁𝗲𝗺 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘃𝗶𝗲𝘄, giving users a complete visual overview of an item's BOM, routing, resources, tools and operations in one place Beyond the new functionality, the release also delivers practical improvements where they matter most: ⚡ Faster Goods Issue processing for high-volume transactions 📅 Smarter MRP validation with automatic factory calendar checks to help avoid planning issues before they happen Which enhancement will have the biggest impact on your manufacturing operations? https://ow.ly/6QMl30sY1hG
Beas Manufacturing 2026.06 Release Notes
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𝗕𝗲𝗮𝘀 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝟮𝟬𝟮𝟲.𝟬𝟲: the SAP Web Client continues to be a key focus in the evolution of Beas. With this release, we further expand the functionality available in this environment by introducing new core manufacturing capabilities for production management. Some of the highlights include: ✅ 𝗪𝗼𝗿𝗸 𝗢𝗿𝗱𝗲𝗿 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗪𝗲𝗯 𝗖𝗹𝗶𝗲𝗻𝘁 (from creating Work Orders to managing positions and tracking active production times) ✅ 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀, with the ability to create and maintain BOMs and Routings directly in the Web Client. ✅ 𝗔 𝗻𝗲𝘄 𝗦𝗮𝗹𝗲𝘀 𝗢𝗿𝗱𝗲𝗿 𝘁𝗼 𝗪𝗼𝗿𝗸 𝗢𝗿𝗱𝗲𝗿 𝘄𝗼𝗿𝗸𝘀𝗽𝗮𝗰𝗲 that helps production planners efficiently transform customer demand into manufacturing orders. ✅ 𝗔 𝗻𝗲𝘄 𝗜𝘁𝗲𝗺 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘃𝗶𝗲𝘄, giving users a complete visual overview of an item's BOM, routing, resources, tools and operations in one place Beyond the new functionality, the release also delivers practical improvements where they matter most: ⚡ Faster Goods Issue processing for high-volume transactions 📅 Smarter MRP validation with automatic factory calendar checks to help avoid planning issues before they happen Which enhancement will have the biggest impact on your manufacturing operations? https://ow.ly/Gw0B30sXCH5
Beas Manufacturing 2026.06 Release Notes
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𝗕𝗲𝗮𝘀 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝟮𝟬𝟮𝟲.𝟬𝟲: the SAP Web Client continues to be a key focus in the evolution of Beas. With this release, we further expand the functionality available in this environment by introducing new core manufacturing capabilities for production management. Some of the highlights include: ✅ 𝗪𝗼𝗿𝗸 𝗢𝗿𝗱𝗲𝗿 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗪𝗲𝗯 𝗖𝗹𝗶𝗲𝗻𝘁 (from creating Work Orders to managing positions and tracking active production times) ✅ 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀, with the ability to create and maintain BOMs and Routings directly in the Web Client. ✅ 𝗔 𝗻𝗲𝘄 𝗦𝗮𝗹𝗲𝘀 𝗢𝗿𝗱𝗲𝗿 𝘁𝗼 𝗪𝗼𝗿𝗸 𝗢𝗿𝗱𝗲𝗿 𝘄𝗼𝗿𝗸𝘀𝗽𝗮𝗰𝗲 that helps production planners efficiently transform customer demand into manufacturing orders. ✅ 𝗔 𝗻𝗲𝘄 𝗜𝘁𝗲𝗺 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘃𝗶𝗲𝘄, giving users a complete visual overview of an item's BOM, routing, resources, tools and operations in one place Beyond the new functionality, the release also delivers practical improvements where they matter most: ⚡ Faster Goods Issue processing for high-volume transactions 📅 Smarter MRP validation with automatic factory calendar checks to help avoid planning issues before they happen Which enhancement will have the biggest impact on your manufacturing operations? https://ow.ly/9pJj30sXPZG
Beas Manufacturing 2026.06 Release Notes
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𝗕𝗲𝗮𝘀 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝟮𝟬𝟮𝟲.𝟬𝟲: the SAP Web Client continues to be a key focus in the evolution of Beas. With this release, we further expand the functionality available in this environment by introducing new core manufacturing capabilities for production management. Some of the highlights include: ✅ 𝗪𝗼𝗿𝗸 𝗢𝗿𝗱𝗲𝗿 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗪𝗲𝗯 𝗖𝗹𝗶𝗲𝗻𝘁 (from creating Work Orders to managing positions and tracking active production times) ✅ 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀, with the ability to create and maintain BOMs and Routings directly in the Web Client. ✅ 𝗔 𝗻𝗲𝘄 𝗦𝗮𝗹𝗲𝘀 𝗢𝗿𝗱𝗲𝗿 𝘁𝗼 𝗪𝗼𝗿𝗸 𝗢𝗿𝗱𝗲𝗿 𝘄𝗼𝗿𝗸𝘀𝗽𝗮𝗰𝗲 that helps production planners efficiently transform customer demand into manufacturing orders. ✅ 𝗔 𝗻𝗲𝘄 𝗜𝘁𝗲𝗺 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘃𝗶𝗲𝘄, giving users a complete visual overview of an item's BOM, routing, resources, tools and operations in one place Beyond the new functionality, the release also delivers practical improvements where they matter most: ⚡ Faster Goods Issue processing for high-volume transactions 📅 Smarter MRP validation with automatic factory calendar checks to help avoid planning issues before they happen Which enhancement will have the biggest impact on your manufacturing operations? https://ow.ly/h4ja30sXCLe
Beas Manufacturing 2026.06 Release Notes
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📊 Industrial Engineering Insights #04 OEE (Overall Equipment Effectiveness): Measuring Manufacturing Performance In today's competitive manufacturing environment, improving productivity is not just about producing more—it's about making the most of the available equipment and resources. One of the most widely used Key Performance Indicators (KPIs) in Lean Manufacturing is Overall Equipment Effectiveness (OEE). OEE measures how effectively a manufacturing operation is utilized by combining three essential factors: 🟢 Availability Measures the percentage of scheduled production time during which equipment is actually running. Downtime caused by breakdowns, setups, or maintenance reduces availability. ⚡ Performance Evaluates whether equipment is operating at its maximum designed speed. Slow cycles and minor stops negatively impact performance. ✅ Quality Measures the proportion of products manufactured without defects. Producing high-quality products the first time reduces waste and improves customer satisfaction. 📈 OEE Formula OEE = Availability × Performance × Quality By analyzing these three components separately, companies can identify improvement opportunities, reduce losses, and increase operational efficiency. For industrial engineers, OEE is more than just a KPI—it's a powerful decision-making tool that supports continuous improvement and operational excellence. 💡 Which OEE component do you think has the greatest impact on manufacturing performance: Availability, Performance, or Quality? I'd love to hear your thoughts in the comments. 📚 Industrial Engineering Insights is my weekly series where I share practical concepts related to: Industrial Engineering Lean Manufacturing Logistics & Supply Chain SAP S/4HANA Continuous Improvement Let's keep learning together! 🚀 #IndustrialEngineering #OEE #LeanManufacturing #ContinuousImprovement #OperationalExcellence #Manufacturing #Production #Quality #EngineeringStudent #IndustrialEngineeringInsights
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Your machine can be 85% utilised and still be costing you money. That sounds contradictory. But think about what happens during a typical production shift. The machine is technically “busy” while the team is: → Waiting for material → Setting up the next job → Waiting for inspection → Changing tools → Reworking rejected components The machine is active. But is it producing good parts at the expected cost and margin? That's the question many manufacturers don't ask. Machine utilisation is useful. But on its own, it doesn't tell the complete story. The more useful conversation is around: Productive hours → Good output → Actual cost → Actual profitability Because ultimately, the objective isn't to keep machines busy. It's to make production profitable. For precision manufacturers: What matters more to you - machine utilisation or cost per good part? Share your answer below. 👇 Angéline POULLAIN Mitesh Gandhi Aditya Malaviya Roshini Dixit Sachin BG Varun Bharadwaj Vijay Kumar #PrecisionManufacturing #Manufacturing #IndustrialEngineering #ERP #SAPBusinessOne
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