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  • The Future of Predictive Maintenance in Metalworking - Technician handling metal roll. Parker Hannifin With metalworking companies across all industries facing increased demands, engineers need to rethink plant and maintenance tasks and operations. Customers are expecting greater manufacturing flexibility, more reliable, fast-turnaround product shipments and higher quality standards — all at lower costs.

    To stay competitive, metalworking companies need to identify more efficient approaches to a variety of production tasks. This need for ongoing efficiency is leading metalworking companies to what some have described as the 4th industrial revolution. At the heart of this latest revolution is a greater reliance on smart, data-driven technologies.

    Nowhere has data-driven technology taken a more prominent role as it has in predictive maintenance.

     

    The Future of Predictive Maintenance in Metalworking - download the white paper - Parker HannifinDownload our white paper and explore how trends in industrial manufacturing equipment are driving innovation in metalworking

     

     

     

     

    What is predictive maintenance?

    Predictive maintenance (sometimes referred to as condition-based maintenance) is a failure inspection strategy that uses real-time data and models to predict when equipment components will wear down or malfunction so proactive corrective actions can be planned. It covers a wide array of topics, including failure prediction, failure diagnosis, recommended mitigation and suggested maintenance actions to be taken after failure.

    In comparison to its predecessor strategies of reactive maintenance and preventative maintenance, predictive maintenance represents a more forward-thinking, cost-effective approach. With a reactive maintenance strategy, assets keep running until they fail. The problem is that such untimely failures result in unexpected and extended downtime and maintenance. With preventative maintenance, in contrast, problems are prevented before they occur. While this approach reduces or eliminates unplanned equipment failures and maintenance downtime can be planned, it does not allow for full utilization of an asset’s service life.

     

    What are the benefits of predictive maintenance?

    Predictive maintenance allows for planned downtime while avoiding premature maintenance so plants can get the full value from components. Predictive maintenance analyzes data gathered from numerous equipment sensors to provide a holistic view of asset health.

    The concept behind predictive maintenance is not new. It has existed in some form for decades and is already a dominant strategy in many other industries. It has only been recently, however, that the technology, including the sensors, computers and software, has caught up and become affordable for more widespread use in a wide array of industries, including metalworking. 

    The data captured from the various connected systems and sensors provides unprecedented insights into the health and total service life of critical components, making smarter maintenance strategies possible. Artificial intelligence (AI) uses algorithms to find patterns and predict mechanical failures before they occur. Instead of simply scheduling maintenance procedures based on preset intervals, a machine learning system can analyze thousands of data points to prioritize maintenance and reduce failure risks.

    Predictive maintenance remains one of the most effective approaches, to date, for equipment-maintenance scheduling. It has proven to offer significant bottom-line benefits by increasing equipment availability (productivity), reducing total maintenance costs and avoiding more costly repairs. By preventing major malfunctions, a predictive maintenance program also can help to reduce accidents in the plant to create a safer working environment.

     

    What is monitored as part of a predictive maintenance program?

    Machinery connected through an Internet of Things (IoT) platform sends continuous updates on a wide array of factors that affect long-term equipment performance. Some of the more commonly used condition monitoring techniques include:

    • Thermography, which analyzes equipment while in operation to examine areas that are generating excess heat. Thermographic images help prevent failures due to overheated motors, loose or overly tight bearings or connection points, lack of lubrication, misaligned belts, electrical surges, damaged electronic components and much more.
    • Vibration analysis, which can pinpoint issues with extreme accuracy and even specify the source of abnormal vibration. Problem-causing vibration can result from an imbalance in weight on a rotating component, lubrication issues, too tight to too loose bearings, misalignment of belts, shafts and other components, broken or bent components, and many other anomalies.
    • Oil analysis, which examines viscosity and possible contaminants. The quality of the oil can significantly impact how well moving parts operate.
    • Moisture analysis, which utilizes humidity sensors to monitor the water content in hydraulic and lubrication oils. Excess moisture can result in corrosion and interfere with the proper operation of moving parts.
    • Electronic pressure sensors, which monitor the amount of pressure in equipment, such as the fluid moving through a hydraulic system.  A drop in pressure could indicate a partial blockage or other internal issues. In contrast, a spike in pressure could signify that a break, eruption or possible explosion is imminent.
    • Ultrasonic air leak detection, which checks for leaks. Many critical components in a metalworking operation require a well-sealed chamber that contains gas, a specific pressure level, a vacuum or air flow. If the seal is compromised at any point, serious leaks can occur. Ultrasonic air leaks emit sounds at frequencies outside the range of human hearing. Sophisticated detection equipment can monitor sealed systems like pumps, vacuum containers, ducts, ventilation systems and the like.
    • Acoustic monitoring, which analyzes and translates the acoustics and noises generated by electrical and mechanical equipment with moving parts to check for unusual noise.

     

    New innovations in predictive maintenance are allowing for the monitoring of multiple factors simultaneously. For example, Parker’s SensoNODE Bluetooth-powered sensors catch performance fluctuations across a wide array of components and transmit the data through the Voice of the Machine Mobile App, which records data in real-time while also tracking historical performance.

     

    In addition, the Parker Tracking System supports any predictive or diagnostic maintenance program.

    Some metalworking plants are taking their predictive maintenance programs to new levels by adding machine-learning software. Although machine learning has been researched for years, its use in applying AI in industrial plants is now advancing more quickly.

     

    What other technologies are making a difference in metalworking?

    Automation technologies are also integral components of the 4th industrial revolution, even though metalworking has traditionally been slower than other sectors in its adoption of automated processes.

    Robots and their smaller cobot counterparts have, more recently, been making their way into the metalworking industry. Now with lower costs, robots and cobots are seen as attractive solutions to counter skilled labor shortages.

    Also gaining popularity are 3D printers, which have proven valuable due to their ability to manufacture more complex and lightweight parts and offer the design flexibility that’s necessary to compete in today’s highly competitive markets. Today’s 3D printers can create intricate parts directly from a CAD drawing, effectively eliminating the need for multiple lathe and mill setups. Until recently, 3D printing was almost exclusively used in the plastics industry, but it is now being adapted for metalworking.

     

    How is technology shaping the future of the metalworking industry?

    A new generation of technology is allowing metalworking plants to become more efficient and competitive.

    Predictive maintenance innovations that can help reduce production downtime and contribute heartily to corporate bottom lines are key. Although many people in the industry may not think of the maintenance shop as being a prime location for investing in cutting-edge technology, the reality is that new maintenance metalworking technologies offer tremendous potential.

     

    The Future  of Predictive Maintenance in Metalworking - Download the Industrial Manufacturing Trends white paper - Parker HannifinTo learn more about trends in metalworking, read our Industrial Manufacturing Equipment Trends White Paper.

     

     

    Article contributed by the IoT and the Fluid and Gas Handling Teams. 

     

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    Follow Parker's Industrial Manufacturing Equipment Technology Page on LInkedInFor the latest industry trends, product innovations and expert engineering advice, follow our industrial manufacturing equipment technology page on LinkedIn.

     

    • 18 May 2021
    The Future of Predictive Maintenance in Metalworking
    With metalworking companies across all industries facing increased demands, engineers need to rethink plant and maintenance...
  • The challenge of moving from a successful IoT pilot program to implementing a broad deployment can be daunting and should not be undertaken lightly. But if... Read the full text.
    • 18 Nov 2020
    Challenged by IoT Implementation? Consider a Framework for Deployment
    The challenge of moving from a successful IoT pilot program to implementing a broad deployment can be daunting and should...
  • In lean manufacturing, life can change pretty dramatically when you are not waiting for the next fire drill. With expanded knowledge and control IoT adoption... Read the full text.
    • 15 Oct 2020
    Going Digital in Manufacturing- How Smart Can We Become via IoT Adoption?
    In lean manufacturing, life can change pretty dramatically when you are not waiting for the next fire drill. With expanded...
  • As the digital era dawned and the enormity of IoT empowered possibilities became clearer, our teams explored the ways in which motion and control products... Read the full text.
    • 15 Sep 2020
    Listening to Our Collective Voice Delivers IoT Empowered Customer Value
    As the digital era dawned and the enormity of IoT empowered possibilities became clearer, our teams explored the ways in...
  • As we are amidst Industry 4.0 and manufacturing’s digital transformation, companies both large and small are grappling with an array of new ways to conduct... Read the full text.
    • 12 Aug 2020
    Does Digital Transformation Necessitate Cross-Functional Collaboration?
    As we are amidst Industry 4.0 and manufacturing’s digital transformation, companies both large and small are grappling with...
  • While it is not necessary or even desirable to convert an entire factory at once to IoT-enabled processes and machines, it hasn’t always been clear to end... Read the full text.
    • 18 Jun 2020
    Is Factory Due Diligence Required to Undertake a Discrete IoT Journey?
    While it is not necessary or even desirable to convert an entire factory at once to IoT-enabled processes and machines,...
  •  As the management of manufacturing plants and other assets grows more complex, integrating automated monitoring of key performance indicators (KPIs) at the discrete level provides a built-in safeguard against unplanned downtime or consequential damages. 

    And it addresses one of the roadblocks many have discovered with a top-down enterprise-level path to IoT: the requirement for significant investments in infrastructure around equipment and business processes, with little ROI to show for it in the near term. 

    A detailed analysis by Accenture and GE revealed that in the Connect-Monitor-Analyze-Predict-Optimize continuum, companies reported a higher percentage of Analyze activity than Connect and Monitor over the course of IoT’s time in their industrial space. In an increasingly connected world, these findings point to an out-of-sequence disconnect.

    They suggest that efforts to understand the voluminous amount of data have come before establishing the connected infrastructure needed for data-driven decision making – and well before making a coherent business case for the data collection. In other words, the raw data available often has not been connected to the specific insights required.

     

    The discrete IoT approach to ROI

    Discrete IoT views a large machine asset as a collection of systems and subsystems with data onboard that can be given a voice with sensors, and deliver ROI in short order. Every subsystem contributes to the overall performance of an asset, and knowledge in that subsystem can be harnessed to assess its health or predict its failure. Consider which products in a motion control subsystem could provide safety, reliability and productivity insights. Pumps, actuators, valves, and filters all contain current-state performance and diagnostic data.

    Having a current-state view of machine health is better than nothing, but simply publishing it on a dashboard screen stops short of being able to optimize a system or a process. The greatest power of IoT stems from the ability to perform historical analysis with time-series data, whether it be KPI-driven alerts and alarms to maintenance personnel; profiles and trend curves that pinpoint root causes of failures; or notifications to ordering systems. One primary goal is to be able to examine the conditions preceding work orders, unplanned downtime or other failures as data is correlated and presented on user-friendly interfaces that make the decision options very clear.

     

    What is the sensor?

     In motion control subsystems, pumps, actuators, valves, and filters all contain current-state data about a machine’s health that can be inspected, unlocked and sent from the equipment to a decision-maker via networked, wireless sensors. A sensor converts a physical condition such as air pressure, in-line and ambient temperature, flow or vibration into an electrical signal capable of being analyzed via the cloud or local applications for a manufacturing system.

    Sensors are plugged into a machine’s existing ports or through a custom integration, and trigger alerts or alarms when tied into a control system or gateway programmed to observe when thresholds for defined performance parameters are exceeded. In this way, plant professionals can safeguard the peak performance of their operations.

    With today’s wireless sensors and powerful software, it is possible to:

    • Notify responsible parties of an event requiring preventative or corrective action through text alerts

    • View real-time actionable data in graphical form from a dashboard

    • Export data for further analysis of historic trends to any internet-connected device 

       

     Download our Ebook, Voice of the Machine: Manufacturing's Digital Transformation for an in-depth look into how a discrete approach to the Internet of Things can lay the foundation for your company's growth. 

     

     

    Related, helpful content for you:

    You Have A Dashboard, So Now What?

    Cloud-based Solutions for Monitoring Machine Performance

    How IoT Analytics Can Optimize Productivity

    Connecting the Dots Between IoT Data and Equipment Efficiency for OEMs

    Industry 4.0 is Taking Place in Front of Our Eyes

     

    • 19 Mar 2020
    Taking a Discrete Path to IoT ROI in Manufacturing
    As the management of manufacturing plants and other assets grows more complex, integrating automated monitoring of key performance...
  • Parker Showcases Industrial IoT Solutions with Voice of the Machine at Bauma China 2018 - Panorama of Parker Booth - Parker China

    The ever-changing industrial Internet of Things has revolutionized the traditional landscape and business model of the construction machinery industry. Domestic and foreign parts and service providers have increased their investment and continuously launched innovative products and technical solutions based on the industrial Internet of Things.

    From November 27th - 30th, 2018 Parker brought its Voice of the Machine™ industrial IoT platform to the Shanghai Bauma Exhibition. The technology covers the "last mile" of discrete IoT with a focus on interoperability, security and scalability.

    In addition, Parker’s booth featured four models to fully demonstrate the powerful and comprehensive traditional hydraulic technology, covering the cab control system, chassis drive system, vehicle implement system and engine power system.

     

    Parker Showcases Industrial IoT Solutions with Voice of the Machine at Bauma China 2018 - Engine model - Parker China

    "Aligned with the new industrial landscape brought by the industrial Internet of Things, Parker created a breakthrough platform, Voice of Machine, to deliver connected products and systems. Our system integration capabilities will help address the increasingly demanding application needs of customers worldwide."   

     Hou Yifei, president of Parker’s Transmission and Control Group, Asia Pacific

     

     

    Covering the "last mile" of the Industrial Internet of Things

    Parker Showcases Industrial IoT Solutions with Voice of the Machine at Bauma China 2018 - VOM display - Parker China

    At present, Internet of Things technology focuses on enterprise-level solutions, but the key component data identified and collected by the enterprise-level Internet of Things is only 10%, which greatly limits the potential of mechanical equipment to predict failures and optimize performance. Discrete IoT can deliver the remaining 90% of the core component data, which is the "last mile" that the Industrial IoT does not reach.

    To this end, Parker initiated a centralized strategy to ensure that all IoT-based products and systems use the same communication standards and best practices to deliver interoperability, security, scalability and visibility.

     

    An ecosystem of connected products and services

    Parker Showcases Industrial IoT Solutions with Voice of the Machine at Bauma China 2018 - HMI Display _ Parker China

    Through the Voice of the Machine online platform, users can interface with products, systems and professional engineers to ensure global monitoring and asset management for critical system operations.

    Both IQAN® and PTS are software products based on the Voice of the Machine platform, which was also unveiled at the Shanghai Bauma Show. IQAN® Interconnect Software integrates intelligent hydraulic components and electronically controlled hardware and software to optimize device performance and simplify remote monitoring.

    No matter where you are, users can use the IQAN® Interconnect Software to remotely diagnose vehicle faults and learn about current performance status through the Parker Vehicle System Gateway. IQAN® Interconnect Software provides a large number of standard function modules and a custom configuration interface. It features an adaptive web interface, which is convenient for users to view from multiple channels such as a PC, tablet or mobile phone and can easily publish data to the cloud.

    Parker Showcases Industrial IoT Solutions with Voice of the Machine at Bauma China 2018 - Mobile Scan for PTS - Parker China

    The PTS Parker Tracking System is an asset management solution for critical wear components. The PTS software records detailed information about parts and assets, and users can connect to the Internet for secure access from multiple sources. The PTS generates a unique identification code printed on the barcode or RFID tag for each hose assembly.

    Record and extract hose information through barcode and RFID traceability system to quickly, regularly and accurately perform equipment maintenance and repair, reducing downtime of engineering equipment. PTS can also establish an asset location database, customize inspection templates, store retrieval history inspection results, and set up scheduled maintenance reminders.

     

    Improve system integration capabilities of traditional hydraulic technology

    Parker Showcases Industrial IoT Solutions with Voice of the Machine at Bauma China 2018 - Ecoreach forklift assembly - Parker China

    The EcoReach forklift assembly system is the highlight of Parker’s traditional hydraulic technology. The electric forklift is usually handled by an electro-hydraulic system. The powertrain consists of a series of separate components: an inverter that converts battery energy into alternating current; an induction motor that outputs torque and speed; and a hydraulic pump that provides flow and pressure; and a hydraulic system controls the valve block to control the flow and pressure of the required hydraulic function.

    Parker Showcases Industrial IoT Solutions with Voice of the Machine at Bauma China 2018 - Implement display - Parker China

    The EcoReach Forklift Assembly System integrates and optimizes these components to improve performance and efficiency, extend battery life and increase loading and unloading speed. The Parker Hannifin EcoReach Forklift Assembly system uses a fully integrated electro-hydraulic system assembly that plugs and uses to minimize the complexity of upgrading the forklift through the EcoReach system.

    A large number of test results show that the system brings great potential benefits: the time to stabilize the oscillating load is reduced by 60%, the handling efficiency of the operator is improved, the time required for the entire lifting cycle is shortened, the production efficiency is increased by 13%, and the energy consumption of the entire lifting cycle is reduced by 48%. If you use the same battery to charge, the electric forklift works longer.

     

    Learn more at Parker Voice of the Machine - Industrial IoT

     

    Additional articles on Voice of the Machine:

    How IoT Analytics Can Optimize Productivity

    Aggressive Measures for Industrial Cybersecurity

    How Collaboration With Manufacturers Will Help You Perform Better

    Parker Teams Deploying IoT to Help Customers Improve Operations

     

    • 14 Dec 2018
    Industrial IoT Solutions With Voice of the Machine at Bauma China
    The ever-changing industrial Internet of Things has revolutionized the traditional landscape and business model of the...
  •  It seems like every industrial company is at some stage of planning for or deploying industrial Internet of Things (IoT) technology. According to a survey of IoT decision makers and influencers in the manufacturing, oil, and gas, and transportation industries by Bsquare for their 2017 Annual IoT Maturity Survey, 86 percent of participants had adopted IoT solutions. Almost all believed that the technology will provide a significant or tremendous impact on their industry.

    Yet, while there is certainly good news on the IoT front, you can also find plenty of articles suggesting that IoT adoption is proceeding slower than many expected. A 2017 Cisco study found that 60 percent of IoT initiatives stall at the Proof of Concept stage and only 26 percent of companies considered their IoT initiatives a complete success.

    The difference in those two surveys may result from who was surveyed. For their report, Bsquare surveyed “experienced, senior-level IoT decision makers” in select industries with a well-defined IoT value proposition, while the Cisco report was based on a broader survey of IT and business decision makers.

    Still, there is no denying the complexity of deploying IoT broadly. It requires installing sensors or replacing legacy equipment with IoT-enabled equipment, as well as an implementation of software to support sensor management, data collection and visualization and, in some cases, machine learning. Plus, many organizations will need to address the skill gap that currently exists in the areas of IoT implementation and management.

    All of that makes the move from small pilot programs, where conditions and unexpected consequences can be carefully managed, to broad deployments one of the most significant challenges we face as an industry.

     

    Planning for scale

    If you are coming off a successful pilot, you have proven the technology based on your use case and have the opportunity to build on that momentum to make a significant, positive impact on your business. Capitalizing on that opportunity starts with conducting a thorough capability and needs assessment across functional departments. Based on this assessment, you’ll need to assemble a dedicated cross-functional team to plan for and manage the deployment.

    There are two factors I want to emphasize in regard to that team. First, collaboration across the business, particularly IT and OT personnel, along with engaged executive sponsorship, is crucial to a successful deployment. Second, don’t hesitate to bring in consultants and partners as needed. As the Cisco survey found, “organizations with the most successful IoT initiatives leverage ecosystem partnerships most widely. They use partners at every phase, from strategic planning to data analytics after rollout.”

    One of the first questions this team must address is, what exactly does scale look like for our organization? Be clear and set expectations with executive sponsors and division leaders on what success looks like and what is required to achieve it.

    This is where an IoT planning framework becomes a powerful tool. There is the experience to be gained from other adopters, but there is no off-the-shelf plan you can plug into your organization. The framework I’ve found most effective is one built around the five core components of an IoT solution. These include:

    1. The “things” that will generate data.

    2. How those things will be connected to the internet.

    3. How data from those things will be collected.

    4. Where that data will go.

    5. Who is responsible for managing the data.

    It sounds simple, but this framework can impose the necessary discipline to minimize unexpected consequences, ensure consistent collaboration and support the successful transition from limited to broad deployment.

     

     

    Planning and managing the deployment

    Once you have your team and framework, it’s time to begin planning the deployment. In terms of the things that will be generating data, you need to gain an understanding of their shape, operating specifications, and environmental limits. Where do sensors currently exist and where do they need to be added? For sensors that need to be added, is the most economical choice to retrofit legacy equipment or replace that equipment if it is already approaching the end of its functional life? Carefully analyzing the specific requirements of your things during the planning stage can save huge amounts of time and hassle later in the process.

    The same is also true for connecting things and collecting data. This is one of the areas where collaboration between IT and OT personnel is essential. Identify exactly who from each group will be required to support the installation and commissioning and the time commitment required. Also, develop contingency plans for addressing equipment failure so you can react to those situations, if they occur, in a controlled manner that minimizes consequences.

    Another important consideration is opening communication channels with on-site personnel. If they aren’t on board with the plan, the chances for success are diminished. As with any new technology, you may face resistance and skepticism, and this should be addressed early in the process.

    When you’re ready to begin the deployment, the same framework used for planning can be employed. In terms of things, the challenge shifts from defining requirements to managing logistics. Who is responsible for ensuring the sensors, equipment and other technology required to support the deployment get where they are supposed to be when they are supposed to be there? The complexity of this task should not be underestimated, particularly for multi-site deployments.

    This same challenge extends to the human resources required to support the “connect” and “collect” functions of the framework. Do you have the installation resources lined up, contracts in place and wiring diagrams harmonized?

    Deployment is also an additional opportunity to connect with on-site resources to reinforce the why behind the new technology. Again, human factors play a key role in the success of IoT and should be addressed at every stage. Finally, take the time to practice the contingency plans you developed during the pre-deployment phase.

    As you move into the post-deployment, this framework allows you to address key questions associated with system health monitoring, the integrity of data collection and internet connectivity systems and who is responsible for each, how results are reported to various stakeholders and who makes decisions about changes to the system.

     

    Crossing the bridge

    The challenge of moving from a successful pilot program to a broad deployment can be daunting and shouldn’t be undertaken lightly. But, if you have identified high-value use cases it is one that must be addressed. Developing a deployment framework that considers things, connectivity, collection, learnings and action at each stage can help impose discipline across the process and increase the likelihood of success. 

     

    Jeff Smith, business development manager, Internet of Things, Parker HannifinThis post was written by Jeff Smith, business development manager, Internet of Things.

     

     

     

     

     

    Related, helpful content for you:

    Defining the Value of IoT in a Connected World

    The Internet of Things: How Your Company Can Get Ready

    Who Holds the Stakes When Deploying IoT? Everyone

    How Collaboration With Manufacturers Will Help You Perform Better

    How IoT Analytics Can Optimize Productivity 

    • 8 Nov 2018
    The Industrial IoT Journey: A Framework for Moving from Pilot to Broad Deployment
    It seems like every industrial company is at some stage of planning for or deploying industrial Internet of Things (IoT...
  •  As a company that has produced motion and control components and subsystems in core industrial sectors for 100 years, Parker has recently taken a significant step forward by embarking on a digital transformation. Between our own journey and working with customers seeking to leverage the Industrial Internet of Things, we’ve arrived at certain truths about the process of building digital ecosystems of connected products. One of those truths is that an effective enterprise of connected “things” must have oversight and buy-in from a broad spectrum of stakeholders.    

     

    A culture of silos has no place in a digital transformation

    Going digital affects too many aspects of an organization, often in ways that only become apparent later on. That’s why it makes sense to marshal perspective and talent from every corner of the enterprise when determining how best to participate in what has essentially become another Industrial Revolution.

    At its most simplistic, deploying IoT effectively can achieve two things for your organization: improve your ability to save money, or improve your ability to make money. That’s the power of understanding the health of your machine assets before they break down, and carving out a market advantage based on the intelligence provided by connected devices. The decision to move into this realm requires a clear-eyed assessment of where your business is now, and where you want it to go, with input from everyone whose functional experience would or could be altered as a result of that transformation.

    For example, if your responsibility is to ensure the highest level of uptime and safe operation for a fleet of off-highway work trucks or an entire manufacturing organization of factory assets, you know it would be valuable to have parts and components in that equipment enabled to alert you when service or replacement is needed. So you would want to be sure that the enterprise was selecting a parts supplier with the ability to design, manufacture, integrate and easily service such components – a partner rather than a vendor, essentially. That would involve a meaningful conversation with colleagues outside of the operations silo.

     

    Procuring the solution is just the beginning

    But what about managing the never-ending data stream created as a result of liberating the information contained within the now-intelligent parts? Can you integrate it with other databases to generate insights and drive value? What about data security and privacy? Do you have people with the right skills working for you now; can they be trained or should new talent be recruited? What about paying for all of this?

    These questions and many more inform what should become part of an ongoing cross-functional conversation within the enterprise. The idea of 24/7 connectivity can be very appealing, but the key to success is having a well-thought-out strategy to tie connected products to your specific core business and deliver those solutions to the end users who can benefit from them. That only comes from having a diverse group that is well informed and connected to the process because its members fully appreciate the stake they have in it. 

     

    Our IoT roadmap to success started with customers

    Our near-term IoT objective for our own OEM customers was to provide better reliability and higher performance for the components and systems they source from us (such as pumps, hoses, connectors). Built on a common platform, our IoT-empowered solutions all recognize and communicate with each other, simplifying deployment. The resulting Voice of the Machine offering makes it possible to identify what we call a serviceable event, determine the recommended next steps, and through our ebusiness capability, make it easy to remedy. That is Parker’s play in this stage of the evolution of the IoT revolution.

    In our case, engaging expertise across the company when we began our journey was a nuanced process of change management. We had a lot of leaders already who had to be brought along because, while the focus in IoT may initially emphasize the “build” part of a new solution, the “operate,” “sell” and “service” elements of the solution are critical for a company like ours.   

    That meant engaging our head of sales, CIO, the tech office and the P&L executives closest to the customer. Providing the support they need to achieve alignment means something different to each of these functions. To deliver on the promise of true collaboration that we ascribe to at Parker, we maintained close working relationships and a high degree of transparency as we worked on what our smart product offering would ultimately look like. And it remains a living, breathing organism to this day.

    So what is the digital strategy to be for your company? What current and future customer use cases should you be envisioning today to improve your customers’ experience and who in your organization should be involved in shaping those experiences? It will never be too late to get the conversation started. 

    To learn more about how to empower your operations with Parker’s Voice of the Machine™, visit our IoT website.

     

    Related, helpful content for you:

    Parker Teams Deploying IoT to Help Customers Improve Operations

    How IoT Analytics Can Optimize Productivity

    Building an IoT Offering to Maximize Value

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    Defining the Value of IoT in a Connected World

    • 13 Aug 2018
    Who Holds the Stakes When Deploying IoT? Everyone
    As a company that has produced motion and control components and subsystems in core industrial sectors for 100 years, Parker...