𝐁𝐫𝐢𝐝𝐠𝐢𝐧𝐠 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠: 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐈𝐨𝐓 𝐆𝐚𝐭𝐞𝐰𝐚𝐲𝐬 🌐 The boundary between Information Technology (IT) and Operational Technology (OT) has long hindered holistic industry operations. Industrial IoT gateways are the champions heralding change. ✨ 𝐒𝐧𝐚𝐩𝐬𝐡𝐨𝐭 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬: - The IIoT gateway market surged ~14.7% within a year, nearing the $860 million mark, and this trajectory is predicted to continue through 2027. - Major players in this shift are Cisco, Siemens, Advantech, and MOXA. 🏭 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 𝐄𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧: IIoT gateways are pivotal in reshaping the manufacturing landscape. By retrofitting even older systems, they facilitate real-time data exchange between operations and IT/cloud realms. This harmonization yields key outcomes: reduced downtimes (as illustrated by Vitesco's preemptive malfunction detection), significant labor cost reductions, and optimized energy use. The result? Streamlined operations, significant savings, and enhanced productivity. 🚀 🛠️ 𝐃𝐞𝐞𝐩 𝐃𝐢𝐯𝐞: 1) 𝑰𝑻/𝑶𝑻 𝑺𝒚𝒏𝒄𝒉𝒓𝒐𝒏𝒊𝒛𝒂𝒕𝒊𝒐𝒏: Legacy equipment, often disconnected, is now plugged into the digital grid. IIoT gateways serve as conduits, ensuring swift, seamless data transitions to IT platforms. 2) 𝑮𝒂𝒕𝒆𝒘𝒂𝒚 𝑭𝒓𝒂𝒎𝒆𝒘𝒐𝒓𝒌𝒔: They're not one-size-fits-all. Four distinct architectures accommodate diverse enterprise needs, ensuring smooth data flows and heightened efficiency. 3) 𝑽𝒆𝒓𝒔𝒂𝒕𝒊𝒍𝒊𝒕𝒚: Modern IIoT gateways juggle multiple roles - from protocol translation to security management, making them indispensable in a robust IIoT ecosystem. 💼 𝐅𝐮𝐫𝐭𝐡𝐞𝐫 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬: 1) 𝑺𝒐𝒇𝒕𝒘𝒂𝒓𝒆 𝑴𝒊𝒈𝒓𝒂𝒕𝒊𝒐𝒏: Companies are transitioning key applications to the cloud, elevating IIoT gateways as primary data traffic controllers. 2) 𝑯𝒂𝒓𝒅𝒘𝒂𝒓𝒆 𝑬𝒗𝒐𝒍𝒖𝒕𝒊𝒐𝒏: Gateways now sport multi-core processors, AI chipsets, and enhanced security elements, ensuring swifter and safer data processing. 3) 𝑩𝒆𝒏𝒆𝒇𝒊𝒕: IIoT gateways have led to profound IT/OT integrations. Examples include Vitesco Technologies Italy's advanced malfunction prediction and Corpacero's reduced repair costs thanks to predictive maintenance. The once aspirational fusion of IT and OT is now tangible, courtesy of IIoT gateways. The forthcoming industrial epoch? Seamlessly integrated, vastly efficient, and pioneering. 🔍 Source: IoT Analytics (https://lnkd.in/euj3wiUD)
Smart Manufacturing Using IoT
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Summary
Smart manufacturing using IoT refers to the integration of advanced Internet of Things (IoT) technology into manufacturing processes to enable real-time data sharing, automation, and decision-making, significantly enhancing productivity, efficiency, and flexibility. This approach bridges the gap between traditional operational technologies and modern IT systems, creating a more connected and intelligent production environment.
- Implement IoT for predictive maintenance: Use IoT sensors to monitor equipment in real time, allowing you to predict and address maintenance needs before failures occur, reducing downtime and operational costs.
- Utilize industrial IoT gateways: Upgrade existing manufacturing systems with IoT gateways to enable seamless data transfer between legacy equipment and modern IT systems, improving process efficiency and reducing energy waste.
- Adopt IoT for supply chain transparency: Leverage IoT technology to track inventory, predict disruptions, and create a streamlined, responsive supply chain that adapts to market changes.
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The most exciting and intriguing part of the recent IoT Analytica report for me: The continued focus on Process Automation as the number 2 priority. Huge investments in artificial intelligence combined with (1) the diminishing labor pool for manufacturing and (2) the increasing felt-need to re-shore or near-shore manufacturing, and (3) our need to deliver increased variety to our customers for minimal incremental cost...is reinvigorating our focus to move incrementally closer to autonomous manufacturing. Additionally, process automation is an excellent and 𝐭𝐚𝐧𝐠𝐢𝐛𝐥𝐞 value-driving use case for the application of AI/ML within manufacturing. From the report: IoT plays an important role in process automaton: It is the top IoT use case. Ongoing IoT Analytics research into IoT use cases has observed that among 27 such cases, IoT-based process automation is ranked #1, with nearly 58% of enterprises either currently rolling out or having fully rolled out process automation in their operations. Further, between 2021 and 2024, the share of companies that have seen positive a return on investment after implementing process automation rose from 96.7% to 98.1%, indicating why companies prioritize it so highly. #digitalmanufacturing #iotanalytics https://lnkd.in/gk_ype8H
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𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞: 𝐓𝐡𝐞 𝐑𝐨𝐥𝐞 𝐨𝐟 𝐈𝐨𝐓 𝐢𝐧 𝐏𝐫𝐞𝐯𝐞𝐧𝐭𝐢𝐧𝐠 𝐃𝐨𝐰𝐧𝐭𝐢𝐦𝐞 The integration of the IoT has revolutionized predictive maintenance, drastically reducing downtime and increasing operational efficiency. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐦𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞? Predictive maintenance involves using data-driven, condition-based monitoring to predict when equipment failures might occur. By analyzing real-time data collected from IoT sensors, maintenance can be performed just in time to prevent unexpected breakdowns. IoT devices collect vast amounts of data from machinery, including temperature, vibration, and pressure levels. This data is analyzed to identify patterns and predict potential issues. 𝐁𝐲 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐢𝐧𝐠 𝐈𝐨𝐓 𝐢𝐧 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐦𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞, 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐜𝐚𝐧: 🔹 Reduce downtime: early detection of anomalies helps in scheduling maintenance before failures happen, minimizing disruption. 🔹 Lower maintenance costs: targeted maintenance avoids unnecessary checks and repairs, reducing labor and material costs. 🔹 Extend equipment life: timely interventions prevent severe damage, prolonging the lifespan of machinery. 𝐑𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐢𝐦𝐩𝐚𝐜𝐭 Manufacturing environments that integrate IoT for predictive maintenance experience fewer unexpected halts. This shift not only enhances productivity but also fosters a safer and more organized workplace, as depicted in the contrasting images of pre- and post-IoT integration. IoT's role in predictive maintenance is a game-changer, transforming reactive maintenance models into proactive, efficient systems. Embracing this technology is crucial for companies aiming to stay competitive and operationally robust in the modern industrial era. Has your organization leveraged IoT in predictive maintenance, and what benefits or challenges have you experienced? Share your insights and join the conversation! 🗣
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🏭 𝐂𝐨𝐮𝐥𝐝 𝐒𝐦𝐚𝐫𝐭 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐞 𝐏𝐡𝐚𝐫𝐦𝐚?🧪 Eric Whitley's recent article delves into the transformative potential of smart manufacturing in the pharmaceutical industry, addressing multifaceted challenges. 🌟 Key Insights: Nexus of Pharma & Smart Manufacturing: Precision, quality, compliance—pharma demands it all. Smart manufacturing offers innovative solutions, redefining industry standards. 5 Key Benefits: 📌 Regulatory Compliance: Automation ensures precision and immediate alerts, elevating safety and efficiency. 📌 Product Quality Control: Real-time oversight maintains consistent quality, nurturing public trust. 📌 Supply Chain Optimization: IoT integration tracks inventory, anticipates disruptions, and promotes smoother operations. 📌 Meeting Rising Demand: Increased production rates without compromising quality, scalable solutions for market dynamics. 📌 Cost Efficiency: Predictive maintenance, energy optimization, and responsible waste management streamline expenses. How do you envision smart manufacturing shaping the future of pharmaceuticals? Share your thoughts below. ⬇️ #AI #HealthcareInnovation #Health #Wellness #Future #Technology
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As headhunters, we are witnessing how leaders in the manufacturing industry are thriving in their decision-making under pressure by implementing the following recommendations: Embrace IoT for Predictive Maintenance: Implementing the Internet of Things (IoT) in manufacturing operations, as seen with General Electric, enables predictive maintenance, reducing downtime and enhancing efficiency. Utilize AI for Quality Control: Adopting Artificial Intelligence (AI) for tasks like quality control, like BMW's use of AI for assembly line analysis, leads to more accurate and faster decision-making processes. Leverage Big Data for Supply Chain Optimization: Companies like Cisco Systems demonstrate how big data can optimize supply chain management, allowing manufacturers to respond swiftly to changes and disruptions. Incorporate 3D Printing for Rapid Prototyping: Utilizing 3D printing technology, as Ford does, speeds up the prototyping process, enabling quicker decision-making and reducing time to market. Use Digital Twins for Testing and Simulation: As Siemens does, implementing digital twins for product and process simulation can significantly enhance decision-making efficiency and accuracy. Implement Real-Time Dashboards for Operational Insight: Integrating real-time dashboards, like Tesla, offers immediate operational insights, aiding faster and more informed decision-making. Adapt JIT Philosophy for SMEs: Small and Medium Enterprises (SMEs) should consider adopting Just-In-Time (JIT) strategies with adjustments for scale, as demonstrated by ABC Manufacturing, to enhance efficiency and responsiveness. Build Robust Local Supplier Networks: Like ABC Manufacturing, SMEs can benefit from developing strong local supplier relationships to reduce dependency and increase supply chain resilience. Adopt Flexible Production Strategies: Incorporating flexible production strategies allows companies to respond rapidly to market changes, a crucial aspect for SMEs in JIT implementation. Commit to Continuous Improvement and Feedback: As practiced by ABC Manufacturing, regular process reviews and incorporating feedback are essential for adapting and refining strategies and ensuring continuous improvement in decision-making processes. The following article provides a holistic approach to leaders’ decision-making under pressure in the manufacturing sector, emphasizing the importance of digital integration, agility, and strategic partnerships in navigating modern manufacturing challenges. #decisionmaking #topnotchfinders #sanfordrose
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🔌 Embracing Industry 4.0: The Power of IIoT Gateways 🌐 According to the IoT Gateway Market Report 2023–2027, the Industrial IoT (IIoT) gateway market is booming, with 2022 seeing a 14.7% growth rate, and the momentum is set to continue. IIoT gateways are the linchpin, enabling the convergence of IT and OT in the industrial landscape. Let's dive into the insights and why it matters. Furthermore, a glimpse of why the below is making me think that the #industry40 space may be the first to create the #Autonomousenterprise ✨ Why it matters: For IoT vendors: 📈 A sustained opportunity lies in the IT/OT convergence trend. For IoT adopters: 🌐 Selecting the right IIoT gateway is critical for seamless IT-OT integration. For the industry: 🚀 IIoT gateways bridge the gap between legacy machinery and modern systems, driving global connectivity and centralized OT management. 🔗 Connecting the Unconnected: IIoT gateways retrofit legacy equipment with sensors, translating protocols, and transmitting data to IT endpoints. 💡 Advanced Hardware: Enhanced gateways with AI chips and secure elements ensure faster, more secure data processing. 🌐 IoT Architectures: Four common IoT architectures leverage IIoT gateways, enhancing connectivity and efficiency. 👉 Advancements: IIoT gateways offer protocol translation, data management, device management, computation, communication, resource management, security management, and quality of service. 🔐 Security: Standards like IEC 62443 are shaping secure IIoT solutions, safeguarding against cyber threats. 💻 Computation: Gateway processing power advances edge computing, reducing latency for real-time decisions. 🗃️ Data Management: Local storage and containerization enable efficient data processing and management. 🌟 Benefits: IIoT gateways foster IT/OT integration, reduce labor costs, and drive energy savings. 📈 Market Outlook: IIoT gateway market growth is projected to continue, driven by modular designs, expanded wireless connectivity, hardware-software collaborations, OT hardware consolidation, and workload virtualization. 🔮 What It Means: For IoT Gateway Vendors: Ensure security compliance, explore edge AI, assess local data storage, consider containerization, and focus on tailored solutions. For IoT Adopters: Evaluate IIoT gateway options, align with IoT architectures, prioritize security compliance, explore edge computing, and leverage local data storage. In the era of Industry 4.0, IIoT gateways are the linchpin transforming industrial landscapes. Embrace the potential! 🚀 #IIoT #Industry40 #IoTGateway 📚 Based on IoT Gateway Market Report 2023–2027 by Kalpesh Baviskar. 𝗡𝗼𝘁𝗶𝗰𝗲: The views expressed in this post are my own. The views within any of my posts, or articles are not those of my employer or the employers of any contributing experts. 𝗟𝗶𝗸𝗲 👍 this post? Click 𝘁𝗵𝗲 𝗯𝗲𝗹𝗹 icon 🔔 for more!
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The convergence of technology and industry, known as Industry 4.0, is reshaping the landscape of industrial high tech in profound ways. It's not just about automation; it's about intelligence, connectivity, and the relentless pursuit of innovation. 🛠️ Key Pillars of Industry 4.0 for Industrial High Tech: ✅ Digital Twins: Virtual replicas of physical systems are optimizing design, testing, and maintenance, reducing time-to-market. ✅ IoT Integration: The Internet of Things connects machines and systems, enabling real-time data collection and analysis for predictive maintenance and process optimization. ✅ AI and Machine Learning: Advanced algorithms are transforming data into actionable insights, improving product quality and operational efficiency. ✅ Additive Manufacturing: 3D printing is revolutionizing prototyping and production, allowing for intricate designs and cost-effective customization. ✅ Cybersecurity: As systems become more interconnected, robust cybersecurity measures are essential to protect valuable data and prevent breaches. ✅ Supply Chain Visibility: Transparent supply chains reduce costs, improve traceability, and enhance the agility of industrial high tech companies. ✅ Human-Machine Collaboration: Collaborative robots (cobots) and augmented reality (AR) tools are enhancing worker safety and productivity. 🚀 Real-world Impact: From semiconductor manufacturing to electronics assembly, Industry 4.0 is fostering agility, innovation, and sustainability in industrial high tech. It's helping companies meet growing demand, minimize waste, and stay competitive in a rapidly evolving market. #Industry40 #HighTech #DigitalTransformation #Innovation #IoT #AI #Manufacturing https://lnkd.in/gSQVm-Wn