That said, just because it is important does not make it easy to understand or successfully implement – and many organizations understandably struggle to apply digital transformation concepts to their assets and facilities.
Here are the latest developments when it comes to IoT in the world of asset management and tips to getting it right.
What is IoT in a Manufacturing Context?
The Basics
The Internet of Things (IoT), at its most basic, refers to a large-scale network of computers, technologies and IoT sensors that connect and digitally share information. And the world of IoT is constantly growing, with an increasing number of endpoints tying the physical and digital world more closely together, improving the accuracy of forecasting and allowing for increasingly accurate data-driven automations.
In the manufacturing content, this is huge. If important physical assets, software and IoT platforms can effectively interconnect and communicate with one another (and, of course, with your team), the resulting ecosystem can allow for effective remote asset monitoring, ensure that engineers and maintenance personnel work effectively – and ultimately increase ROI and business efherffectiveness.
The Benefits
The mountains of data from these connected devices and IoT sensors can provide the analytics professionals, technicians and managers in your organization with the actionable insights they need to help improve asset management tracking, increase digital security and improve productivity through thoughtful deployment of AI, automation and enhanced predictive maintenance capabilities. Measurable benefits include:
- Higher return on investment than traditional, slow-moving operations
- Maximized growth
- Lower costs
- Improved responsiveness to customers
- Increased energy efficiency
- Improved product quality
- Raised yield and throughput
- Improved response to demand fluctuation
- Improved security
The impact of these capabilities and benefits cannot be understated, as they can ultimately spell the end of ongoing security concerns, reactive maintenance practices, ineffective asset tracking and other high-cost, low-efficiency manufacturing problems.
The Major Players
That is why top organizations in asset intensive industries around the world are leading the charge with IoT solutions. McKinsey & Company, for starters, has identified 44 organizations in the “Global Lighthouse Network.” These 4IR companies are, “leading the way through their adoption of critical 4IR technologies, including digitization, automation, advanced and predictive analytics, virtual and augmented reality, and the Industrial Internet of Things (IoT).”
There is also particularly high adoption of IoT in the healthcare industry. 79% of healthcare providers with revenue of over $100 million employ IoT, and Gartner predicts that this IoT spending will continue to increase by 13% in the next fiscal year. What is more, 75% of these providers believe that they will see financial payback within three years.
In short, these organizations are pushing the envelope of technological advancement to reshape both their operations and the customer journey because they understand that the efforts can be well worth it in the long-term.
Roadblocks to Successful IoT Implementation
Across asset-heavy industries and verticals, roadblocks to successful IoT implementation often include:
Security Concerns
IoT devices and physical assets connect to the Internet. In many industries, organizations do not fully account for the threat this can pose – and individual assets are left without the proper security patches and updates. This can ultimately lead to asset breaches and broader systemic security threats that can immediately undermine the success of any IoT infrastructure.
Poor Analytics Infrastructure
IoT operations have mountains of data coming in. Without the right analytics tools and strategies, it will be impossible to do anything with that information. That is why it is important to get that infrastructure right and:
- Establish a scalable IoT data architecture
- Deploy effective AI systems that can act on IoT data
- Run on the cloud to increase scale and time to market
- Create a discrete analytics branch of your organization
Unfortunately, many organizations embark on IoT endeavors without taking these steps, and it leads to improper implementation, low adoption and poor results.
Insufficient Training
There is a massive knowledge gap in the manufacturing environment – and that gap is only widening over time. The majority of the nuanced skill lies in the older generations, Baby Boomers that are about to retire and take their knowledge with them. And the younger generations just are not interested in filling their shoes – which is why positions related to digital talent, skilled production and operational management are becoming increasingly difficult to fill as the need for them arises in an IoT world.
Budget Constraints
It can be difficult to obtain the budget and funding to support IoT investments, particularly in the extra lean COVID era we live in today. There is generally an array of high up-front costs associated with IoT tools:
- The IoT hardware itself can be expensive
- It can be costly and difficult to set up an IoT ecosystem with the right hardware, software and integrations
- Time to ROI can be slow and daunting
- Proper training can be time-consuming and expensive
This can cause a lot of friction with stakeholders and decision-makers who simply want to make money and see a quick ROI without too much complication. Those presenting IoT tools have to keep this in mind and prepare accordingly.
How to Get it Right
The good news? It is possible to overcome these obstacles and empower your facility and asset management operations with IoT. To accomplish this, you should:
Keep Your Perspective
It is not about the IoT technology and automations themselves, but rather about their business value and what those tools can improve for your business operations throughout the asset lifecycle. It is important to maintain this perspective as you move forward with IoT efforts and to stick with technology and changes that can actually make a defined, measurable impact. Here, you should always answer questions like:
- How can this technology accelerate or scale my operations?
- Can I improve how customers are served? How?
- Can I and should I reinvent existing business models?
- What KPIs need to improved? What IoT technologies can help and how?
Otherwise, you can get lost spending time and money following a pipe dream that is simply not applicable to your infrastructure or your business model.
Prepare Your Workforce
If you undergo this kind of comprehensive transformation to your asset management and maintenance, it will essentially be a whole new world for your workforce – and you will have to keep that in mind and implement the right training, perspective changes and cultural shifts in your business to get your team ready. Some ways you can help them prepare:
- Encourage individual innovation: If your front line is encouraged to innovate and improve the product line, they will feel ownership over the new processes. This, in turn, can help you overcome the common hurdle of poor adoption and low employee satisfaction with the changes
- Encourage focus on data: If your technicians and operators generally make decisions based on experience and instinct, start encouraging them to diagnose machine problems based on data. This can ultimately increase effective problem-solving, decrease instances of asset failure, improve adoption and allow for more data-driven collaboration
- Get rid of silos: If your production team cooperates with operators and technicians in charge of automated operations, it can improve efficiency and communication – so do not let your departments work in silos
- Encourage preventive maintenance: A team that is constantly dealing with reactive maintenance and the issues that come with it – like unexpected delays, high asset downtime and low asset performance – simply cannot work as effectively. Implementing the right automation and technology can encourage preventive and planned maintenance practices, which can ultimately improve assembly and operating tasks
- Proactively and consistently train: An unprepared or unskilled workforce makes effective IoT implementation next to impossible. It is important to train consistently and innovatively to ensure that your team is always prepared and ready to adopt any changes or updates in your tech and processes
Work Comprehensively
The number one tip to getting IoT implementation right? Working comprehensively.
McKinsey & Company clarifies that Lighthouse corporations, “work across four dimensions at once: their business processes, management systems, people systems, and their IoT and data systems.”
Specific changes, according to McKinsey, can include:
- Business processes: Using digital performance management – through AI-powered, personalized dashboards and alerts – to create a single source of truth and eliminate waste in decision-making
- People systems: Focusing on developing an upskilled workforce that understands how to operate IoT technologies and work in an agile environment. For this to be most effective, it’s important to put a lot of thought into your automations and how your people will work in sync with your technology
- IoT and data systems: Develop a modernized IoT stack and data model that allows for technology democratization and cyber connection between real facilities and IT systems
- Management systems: Use a digital twin to optimize augmented operators, robotics, and leaned-out and automated processes
Remember that this kind of top-to-bottom, comprehensive cultural change is necessary for effective digital transformation, as it will allow businesses to scale and work as a unit. Do not cut corners.
Take an Agile Approach
If you take an agile, continuous approach to incorporating IoT assets and platforms— meaning that your processes and solutions will continuously evolve through collaboration – it will help you consistently grow, improve costs, optimize critical assets and streamline your company’s responsiveness without your efforts becoming outdated or “trapped in time.”
Agile methodologies will also allow your organization to use real-time data, rather than gut instinct, to diagnose issues and make decisions.
Work with Partners and Suppliers
Consider working with your partners and stakeholders throughout this process rather than safeguarding your data and working in a vacuum. Though it may seem counterintuitive, this kind of communication and data exchange with your partners, suppliers and customers can encourage best-practice exchange while providing the kind of technological ecosystem and shared data science that can improve your operations, optimize your processes and lower your costs.
Incorporate Future-Ready Platforms
Gone are the days when a piece of technology can exist discretely and disconnected from other tools. Your technological infrastructure must break down silos, integrate and work comprehensively to allow for innovation, analytical insight, and root-cause problem-solving across your organization.
The Lighthouse organizations that get this right, according to McKinsey, experience 36% lower inventory costs and time-to-market increased by 90%.
Include All Relevant Departments and Personnel
For this kind of effort to work, all relevant personnel must be roped in and on board at all times, including data engineers, those involved in your major systems like your CMMS or ERP, IoT architects, data scientists, product managers and employees directly involved in maintenance activities.
This is the only way to streamline adoption, and getting this right has to involve communication and training to close the talent gap and ensure that relevant personnel have the information and skills they need to work in a 4IR facility.
Ensure Maximized Connectivity Across Functions and Organizations
Last but not least, you absolutely must maximize your connectivity to allow for more efficient decision-making and less communicative and operational redundancy. When it comes to your assets, this can exist in the form of something like RFID tags to increase transparency and accessibility of relevant information.
Across your facilities, fully connected systems will improve your supply chain, increase efficiency, reduce communication time, and more.
Final Thoughts
IoT does have a place in asset management and maintenance – and incorporating smarter, more interconnected technologies is certainly something that forward-thinking organizations should consider.
When implementing IoT in your manufacturing business, though, remember that it is not about the technology itself, but about the best practices, priorities, impacts and solutions that technology can deliver to your business. By keeping this in mind and implementing IoT with prejudice, your organization can maximize agile methodologies, increase transparency, and use real-time data to inform decision-making and ultimately maximize your technological ROI.
Download our Benchmarks & Best Practices for Maintenance Management eBook now to learn more about enhancing your asset management programs.
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