Tag: Automation

  • A Practical look into Remote Monitoring using IoT!

    A Practical look into Remote Monitoring using IoT!

    When it comes to maintenance, it offers the ability to create a clear and concise program for organizing equipment maintenance data and using remote IoT to make informed decisions that can pay immediate and long-term dividends.

    Automation

    Automation can streamline maintenance and record keeping activities, aiding information gathering and thus making decision-making easier and faster. Automation tools can be used to schedule maintenance alerts, which significantly reduces the effort and time involved in a traditional data collection process and associated cumbersome paperwork that is used to trigger preventive or corrective maintenance.

    Business owners and fleet managers no longer need to make job site visits and phone calls to obtain basic data such as engine hours, fluid levels or operating temperatures. In addition, the information gathered is more accurate based on a steady flow of real-time data and the elimination of handwritten notes and associated paperwork.

    Remote monitoring gives ability to track the health of the equipment and detect problems associated with temperatures, pressures, Vibration before they blossom into unnecessary expenditures and downtime.

    As an example, data could reveal that a machine needs an oil change sooner than recommended by the manufacturer based on the type of work the machine is involved in. Conversely, a machine might not need to be serviced as frequently as another machine based on the work it does.
    Further, automated alerts can reduce the reliance on equipment operators to intervene and alert the maintenance team about items that need attention.

    For instance, the owner of a machine on a demanding project in a hot climate might set up the program to keep tabs on the machine’s operating temperatures. If the temperatures climb outside acceptable limits, the program can alert the maintenance team, or the dealer who services the equipment.

    Connecting device gives IOT ability to mine a rich history of information to improve maintenance practices. Some systems can gather information from as far back as 18 months, or even longer if it’s regularly downloaded and stored. With historical data, users can spot trends that point to potential problems.

    Fuel usage Monitoring is a good example, if the data reveals a spike in fuel consumption for a given machine it could be symptomatic of an issue that demands further investigation.

    Investing in the business

    Having a keen understanding of operation characteristics of machines and operators over time allows users to flag issues that appear out of the ordinary, and in the process, minimize potential maintenance headaches before they strike.
    The ability of IoT to deliver tangible efficiencies and costs savings when deployed for Remote monitoring is well proven and provides an excellent return on investment. But like any investment, the decision whether to adopt Remote Monitoring using IOT demands a hard look at the technology from every angle to ensure it benefits the business.

    Nitin

    Nitin Tappe

    After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.

  • How IoT Is Helping Solve Efficiency Problem In The Manufacturing Industry With Industry 4.0?

    How IoT Is Helping Solve Efficiency Problem In The Manufacturing Industry With Industry 4.0?

    Internet of Things and Industry 4.0 together are changing the face of the manufacturing industry, making manufacturing processes smarter and more data-driven. Prior to these getting introduced, manufacturers were tied up with daily operational tasks with limited time to spend on strategies. A lot of data was gathered around vendors, customers, product demand, supply chain, and related important sections but to utilize the data to get sight full results weren’t easy in absence of Industry 4.0.
    Moreover, low efficiency, high supply chain-related costs, and the lack of innovation was an add on. These concerns are now a thing of the past with Industry 4.0 transforming processes and IoT makings its way onto the production floor. Machine-to-machine communication is digitizing factories and production floors by decentralizing control, while IoT-enabled sensors are automating the workflow through smart IoT devices. Moreover, the industrial assistance systems are now being added, which use intelligent communication and Augmented Reality /Virtual Reality to offload the burden on human resources by enhancing production efficiency and driving productivity. It should be noted that decentralizing production has caused a paradigm shift in the manufacturing sector. Today, floor and factory equipment are not simply products; they are intelligent, smart products that can communicate with each other, provide instructions, and share information.

    IOTizing Automation

    IoT and Industry 4.0 share a mutual connection: Industry 4.0 always uses IoT or Intranet of Things for digitizing the manufacturing processes. All devices, equipment, robots, tools, and simulations used in Industry 4.0 have IoT-enabled sensors that regularly communicate and exchange data. Therefore, automation and IoT work in tandem, but the ambit and the range of possibilities, IoT introduces to automation are limitless. Though the flooding of new technologies can prove overwhelming for many, sorting and selecting the key automation goals can be very beneficial for manufacturers.

    A quick glance into history will affirm that automation and IoT are not new for manufacturers. They have already been using robots and sensors connected to servers to automate tedious and monotonous manufacturing processes, but today, technology has moved beyond simple data gathering. Manufacturers are now working in a digital, connected environment. This near-real-time insight for optimizing processes is new for manufacturers. They can work this arrangement to their benefit by leveraging the data generated from smart, connected systems to distinguish their services and recognize new revenue opportunities. Data from machines on the shop floor can be fed into the cloud-based Manufacturing Operations System (MOM) to manage manufacturing operations more efficiently. Real-time data analysis by MOM/MES will offer complete visibility into, control of, and sync between inventory and production, thereby guaranteeing quality is always maintained.

    Complete Manufacturing Visibility

    Smart factories are now a reality, but it doesn’t stop there. Manufacturers still have plenty to gain by becoming more in tune with machines and devices. The greatest potential for IoT in conjunction with Industry 4.0 will be complete supplier visibility: Information about every component or product can be easily tracked, right from the manufacturing start to the final destination.

    IoT-enabled sensors in automated systems can be used, instead of the human judgment, to monitor the performance of floor equipment and machines. Sensor data generated from different parts of the manufacturing floor can be leveraged to track equipment condition. Machinery data can be used to adjust workflows, remove inefficient practices, monitor capacity erosion, and eliminate line performance bottlenecks. With predictive maintenance, sensors can inform when machines need servicing to prevent breakdown, and in the event of a breakdown, data can be analyzed to find out the root cause and prevent similar occurrences in the future.

    When machines and equipment are operating efficiently, quality and production get augmented as up-time is higher, equipment is effective, scrap is less, rework is minimal, and operating costs are low. Floor operators are more engaged, and front-line workers and management have all the necessary information for greater responsiveness, accountability, and ownership, thereby ensuring complete manufacturing supply chain visibility.

    Conclusion

    IoT and Industry 4.0 can be combined to create the digital twin of a manufacturing plant. Data from all sensors can be gathered in a big database of IoT Platforms, and a new enterprise software system can be developed basis the data. The software system, replete with alerts, dashboards, and reports would provide a clear picture of the current status and operational efficiency of each machine & manufacturing process. Data and reports can also be used to drive continuous improvement across the manufacturing plant. We employed the same technique for a leading client from the injection molding industry, and it resulted in enhanced process efficiencies for our client.

    By connecting automated production technologies and smart manufacturing processes, IoT and Industry 4.0 are building a new manufacturing landscape, which is smartly automated and all set to transform the manufacturing value chain and business model in the days ahead.

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    Nitin
    Nitin Tappe After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.
  • Key Areas to Focus on In Your Digital Transformation Journey

    Key Areas to Focus on In Your Digital Transformation Journey

    Digital transformation is making several headways across industries and geographies.

    With the potential to impact organizational outcomes in profound ways, today, almost every company is on the road to digital transformation – or they risk becoming obsolete.

    According to IDC, 85% of enterprise decision-makers say they have a time frame of two years to make significant inroads into digital transformation, or they will fall behind their competitors and suffer financially.

    If you too are looking to adopt and integrate disruptive technologies and fundamentally change how your business operates (and how value is delivered to customers), now is the time to transform digitally.

    Here are key areas to focus on in your digital transformation journey:
    Adopt new tech: The stepping-stone of any digital transformation strategy is the adoption of new technology. Leveraging the myriad benefits modern technologies offer is the best way to improve operational efficiency, enhance customer experience, and fuel innovation. This means getting rid of rigid legacy systems that hamper growth, upgrading/migrating systems to drive more value, making the most of emerging programming languages, and implementing new tools, systems and applications that fuel collaboration and boost efficiency. And just adopting new tech is not enough; you need to constantly train your teams to ensure they are using the technology in the most optimum manner and drive far higher value from your tech investments.

    Innovate through data: Another very critical component of successful digital transformation initiatives is the ability to unearth insight from data. With organizations getting crushed under the weight of data about employees, machines, processes, customers, competition, markets, and regulatory frameworks, innovating through data is a great way to drive enterprise-wide transformation. This includes using technologies like Artificial Intelligence, Machine Learning, and Internet of Things to glean insight from data, and make intelligent, evidence-based decisions. From customer segmentation to predictive maintenance, enrichment of customer touch-points to better inventory management – AI and IoT will pave the way for data-informed cognitive analytics, and be the reason for competitive advantage. It is no surprise then that the IoT market is expected to grow to 5.8 billion endpoints in 2020.

    Break down silos and embrace Agile: Digital transformation also requires you to continuously work in an iterative manner so you can explore new technologies and develop functionalities more rapidly. This means you have to break down silos that hamper efficiency, growth and innovation, so the entire organization is ready for transformation – not just individual business units. It also makes sense to embrace an Agile mindset, so teams can set priorities and design solutions – while constantly focusing on value creation. Driving efforts in building capabilities that empower your teams to develop prototypes and engage with customers is essential to achieve faster to market and be in alignment with the voice of your customers.

    Embrace cloud: For many organizations, success (or failure) is directly proportional to the effectiveness of their IT service delivery environment. Cloud is a key driver of digital transformation and can enable you to reach your digital goals faster. By allocating more IT resources (and staff) to the development and continuous improvement of products, you can drive the transformation that improves the overall customer experience. Cloud offers the scale and speed needed to support changing business priorities – with ease. It allows you to consistently manage your existing applications and achieve higher levels of availability, reliability, and security – while helping you develop, deploy, and deliver software faster.

    Focus on skill transformation: No digital transformation can be successful if you do not have people with the right tech skillset. With typical technology capabilities quickly transforming into specialized skill sets, you need to focus on skill transformation to accelerate time to value. Keep track of trending skills and see how your organization can benefit from those skill sets. Assess the skills of your existing employees, train them, so they can improve upon their skills. Alternatively, hire candidates with skills across data science, automation, DevOps, and more from the market. You can also cater to this emerging need for specialized skill sets by forging strategic partnerships, driving mergers and acquisitions, and setting up Global Centers of Excellence.

    Find the right blend

    The digital transformation fever has taken the entire world under its embrace. With spending expected to reach $2 trillion by 2022, organizations need to do everything they can to drive transformation: adopt new tech, innovate through data, break down silos, embrace the cloud, and focus on skill transformation, among others.

    As you set towards the journey, remember that digital transformation is neither about a pure technology or a pure business transformation; it is about establishing an organizational structure (and culture) that is a perfect amalgamation of business, technology, and people.

    Our Services

    Nitin

    Nitin Tappe

    After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.

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