Intelligently Embracing the Automation Transition In the last few years we have seen how automation can revolutionize manufacturing, but it requires careful planning and execution. As Sanu Warrier from nVent highlights, successful automation involves a strategic approach, from choosing the right software and hardware to managing the inevitable change. Key takeaways: Start small: Begin with manageable projects to build momentum. Invest in people: Train your team to adapt to new technologies. Embrace a growth mindset: Continuously seek improvement and innovation. #automation #manufacturing #industry4.0 #digitaltransformation For the full article click here: https://lnkd.in/e9AJ_DZD
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For small and medium manufacturers, automation isn't just about tech upgrades—it's a survival strategy. By adopting modular, easy-to-use systems, these companies can quickly see improvements in capacity and customer service. Embracing smart automation can be a game-changer, driving significant ROI and making high-value tasks a focus. #iworkforComcast #Manufacturing #Automation #CustomerService https://lnkd.in/gGGPsQCM
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For small and medium manufacturers, automation isn't just about tech upgrades—it's a survival strategy. By adopting modular, easy-to-use systems, these companies can quickly see improvements in capacity and customer service. Embracing smart automation can be a game-changer, driving significant ROI and making high-value tasks a focus. #iworkforComcast #Manufacturing #Automation #CustomerService https://lnkd.in/gNJUeHVe
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For small and medium manufacturers, automation isn't just about tech upgrades—it's a survival strategy. By adopting modular, easy-to-use systems, these companies can quickly see improvements in capacity and customer service. Embracing smart automation can be a game-changer, driving significant ROI and making high-value tasks a focus. #iworkforComcast #Manufacturing #Automation #CustomerService https://lnkd.in/gRUmJHVt
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'While the initial investment in automation technology may be high, the long-term savings can outweigh these costs." Investing in work automation software can save manufacturers big time between teams, budgets, and time constraints. Read the full piece here: https://lnkd.in/eBwQJXJ4
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Want to work smarter, not harder? Automation is the key! ?? In our latest post, we break down the 4 types of automation every business should know. From saving time to boosting productivity, this guide shows how you can streamline your operations effortlessly. Ready to level up? Read our blog here: https://lnkd.in/gC685AET #Automation #WorkSmart #ProductivityBoost #BusinessHacks #TechTransformation
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Automation Transformation: Full Automation vs. Semi-Automation – Focus on These Key Factors When embarking on an automation transformation journey, the choice between full automation and semi-automation can be daunting. To make an informed decision, focus on three essential factors: Budget, Product Characteristics, and Technical Team. 1.Budget and Cost-Efficiency: Begin by evaluating the total cost of automation, including equipment acquisition, installation, and maintenance. Full automation requires a substantial initial investment but promises higher efficiency and reduced costs over time. In contrast, semi-automation is less costly and offers greater flexibility, which is ideal for businesses with budget constraints or varied product offerings. 2.Product Characteristics and Automation Compatibility: The suitability of automation depends largely on your products. Full automation is ideal for standardized, high-volume products with consistent processes, maximizing operational efficiency. Conversely, semi-automation is better suited for custom, complex, or low-volume products, providing the flexibility needed to adapt to production changes and variations. 3.Technical Team and Skill Requirements: Automation also requires ongoing maintenance. Full automation demands a highly skilled technical team for effective management and optimization. For companies with limited automation experience or technical resources, semi-automation might be a more practical solution, allowing for simpler and more manageable implementation. Ultimately, the choice between full and semi-automation should align with your company’s budget, product needs, and technical capabilities. Evaluate these factors to select the most suitable automation strategy and effectively embrace the challenges of Industry 4.0.
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New Blog Post: Navigating Automation Pitfalls! Automation boosts efficiency, but it's not without challenges. Our latest blog covers the 7 key pitfalls to avoid: ?? Highlights: Clarifying operational objectives Establishing guiding principles Planning for scalability Holistic solutions vs. siloed approaches Efficient resource allocation Robust implementation planning Investing in human capital ?? Read more by clicking below. #Automation #Manufacturing #Efficiency #Innovation #Production
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Chris Stergiou gives a great explanation of what companies tell the OEMs when looking for automation. When the end user is complaining about how bad the equipment is, I ask to see the specs given to the OEM. Most of the time, the equipment is built to those requirements and is being used differently. Maybe more questions should have been asked on both sides. Seen this in multiple industries across the country ??
Manufacturing Automation – the Need “Give us something simple to understand and maintain!” Was the REQUEST from an SME client recently as we reviewed their process for opportunities to decrease LABOR content through automation while being mindful of a previous FAILED attempt with an automation solution that was beyond the internal team’s abilities to understand and support … leading to ABANDONMENT and lost investment. Every manufacturing process has a CADENCE and a BALANCE, created over time and reflecting not only the EQUILIBRIUM reached with the available labor, materials and capital equipment used, but also reflecting the built in INEFFICIENCIES as functionality is seldom challenged by PERFORMANCE. These inefficiencies may be reflected of one or more of: Quality costs Order to Cash Cycle Time costs Capacity Limitations costs Material Waste costs Labor training costs Labor turnover costs Delivery delays costs Lost opportunities due to inability to deliver to customer demand costs Long setup times costs Inventory carrying Costs Work in Process (WIP) costs Like a series of gaps in windows that don’t quite close right, these ongoing costs may or may not be known and every process, no matter how well controlled, has these losses built into the process and offer opportunities to increase PRODUCTIVITY. The extent to which AUTOMATION has a part to play in capturing these benefits starts with: -??????A fresh Value Stream Mapping of the process, ? -??????Speaking with and observing the Operators, -??????Reviewing the quality and predictability of the Inputs, -??????Thinking BIG but acting SMALL. It’s likely that the outcome will be a Right Sized, Simple and Cost effective solution that will not be REJECTED by the process. “Give us something simple to understand and maintain!” -- “Manufacturing Automation – How Much Does it Cost? The short answer: Nothing! It's free, since you're already paying for it without benefiting from it!” -- Are your automation solutions simple to understand and maintain? Your thoughts are appreciated and please share this post if you think your connections will find it of interest. ?? Comment, follow or connect to collaborate on automation for enhanced productivity in your process. https://lnkd.in/ejBHzmjm #industry40 #automation #productivity #robots ?
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Manufacturing Automation – Under-Delivering It's easy to Over-Promise in Automation! -- Putting aside any nefarious intentions, Over-Promising and Under-Delivering is common in automation for simple organic reasons, characteristic of any CREATIVE process where the outcome isn't a standard "off-the-shelf" product or service. Including: - MISALIGNMENT between capabilities and the problem being solved. - Errors of OMISSION, as either or both the End-User and Provider unconsciously withhold information deemed unimportant, only to be discovered when the system is deployed and gags on the real world product or operational environment. - INCOMPLETE upfront process discovery process by both the End-User and Provider, ignoring nuanced tribal knowledge and assuming a "how hard can it be" attitude. - Allowing SCHEDULE pressures to overwhelm the time needed for key milestones; Proposal, Order, Design, Build, Debug, Deployment, Commissioning. - Over-Reliance on TECHNOLOGY. - Other dynamics, usually avoidable by simply "measuring twice and cutting once." Of course the final arbiter is when the solution is deployed and shortcomings become immediately VISIBLE and seemingly having unlimited time and resources for corrective action ... IF ... possible! Mitigation efforts include: - Sound Problem DEFINITION - Clear Definition of SUCCESS - Allocation of ADEQUATE Resources; Technical, Financial and Manpower - Modelling, Prototyping and Challenging ALL assumptions It's easy to Over-Promise in Automation! -- "For the manufacturer, a White Elephant is not only an immediate failure in terms of time, money and resources used to design and build it but can also have larger consequences if that automation is key to a new product introduction or part of a larger automation strategy for the manufacturing process. Most important, a White Elephant can lead to lasting and long term aversion to automation! For the automation supplier or system integrator, a White Elephant has serious financial and reputational consequences." -- How do you prevent Over-Promising and Under-Delivering in your Automation? Your thoughts are appreciated and please SHARE this post if you think your connections will find it of interest. ?? Comment, follow or connect to COLLABORATE on your automation for increased productivity. Adding value on the WHY, WHAT and HOW of Automation! What are you working on that I can help with? https://lnkd.in/eA3ET24V #industry40 #automation #productivity #robots
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Manufacturing Automation – the true Metric Not Failing doesn’t equal Success! All automation projects start with some Functional Specification or Scope of Work intended to define success and compiled through some level of due diligence of the current state, including: -?????????Stakeholder inputs and requirements. -?????????Functional descriptions. -?????????Process domain knowledge and expertise. -?????????Inputs and outputs definitions. -?????????Some educated guesses or assumptions. -?????????Upstream-downstream processes interfaces. -?????????A general theory of operation. -?????????Other attributes specific to the application. As such, the architecture is informed by the TECHNOLOGY to be used and the INTEGRATION of custom modules or features that will deliver some defined PRODUCTIVITY metric and best practices guide and monitor the project design and execution through a series of: -?????????Design reviews. -?????????Proof of principle exercises for custom modules. -?????????Rigorous project management to maintain budget and schedule constraints. -?????????Close integration of operational functions such as Design, Scheduling, Construction, Testing, etc. -?????????Other BEST PRACTICES of lessons learned from previous projects. And yet … INADEQUATE outcomes and even FAILURES persist! WHY? Assuming that everyone involved is acting in good faith but with some variance to be attributed to human frailty, we might define FAILURE into two general categories: 1.?????Failure to achieve FUNCTIONALITY and PERFORMANCE, and 2.?????Achieving full functionality and performance but missing the mark on increasing PRODUCTIVITY. With both failure modes perhaps occurring with the same frequency, the first appears to be easier to understand as it is probably mechanical and involving a mismatch of: -?????????Proper specification definition misaligned with the POSSIBLE. -?????????Misalignment between the design and the process. -?????????Wrong architecture for the application. -?????????Other, relatively easy to diagnose root causes, amounting to misalignment of the problem with the team tasked to execute the project. The second type of failure is typically attributed to a lack of understanding of the target process VALUE STREAM and improper identification of WHAT to automate. Not Failing doesn’t equal Success! -- “What went wrong?” -- Do you have an example of a successful project that failed to increase productivity? Your thoughts are appreciated and please share this post if you think your connections will find it of interest. ?? Comment, follow or connect to collaborate on automation for enhanced productivity in your process. https://lnkd.in/eWjGvY6w #industry40 #automation #productivity #robots ?
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