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Fictron Industrial Supplies Sdn Bhd
Fictron Industrial Supplies Sdn Bhd

How to Implement IoT Into Your Industrial Manufacturing Operations

20-Jun-2019

The Internet of Things (IoT) and its commercial counterpart, Industrial Internet of Things (IIoT), are perennial trending tips for good reason. Internet-embedded technology touches approximately every part of our daily lives, from smart electric meters and security cameras to personal health monitors and TVs. By 2020, over 20 billion devices will be part of the IoT base, and IIoT specifically will account for 15 percent of total IoT spending.
 
From remote monitoring to predictive maintenance, manufacturers have a substantial opportunity to benefit from IIoT technologies—especially if they act holistically.
 
Systems of sensors collect data that alternatively would be slow to aggregate or have a low degree of fidelity in the real world. As these sensors cultivate in affordability or are packaged in new ways and with new algorithms, manufacturers will discern even more IIoT benefits, especially optimizing operations, preventative maintenance, creating a safer work environment and boosting the bottom line.
 
Key Considerations When Implementing IIoT Investments
 
As with a variety of new ideas, it is best to test small and then scale when applying IIoT technologies in a manufacturing environment. Apply your learnings to each element or location of your business.
 
Consider each step of this roadmap when implementing your own IIoT technologies:
 
Investment planning and success criteria:
 
IIoT’s return on investment oftentimes plays out over years instead of weeks. This is why leaders and management must set incremental, early-stage success conditions to indicate value early, maintain motivation and identify what success looks like not simply from a data perspective, but for individual employees.
 
It's a procedure one global leader in industrial equipment manufacturing put into play when it hired Nerdery to create innovative new revenue streams in precisely eight weeks.
 
The discovery process, which included plant visits, one-on-one conversations, and demonstrations, specialised not simply on internal outcomes but the needs of its end users. They recognized a vital pain point: A desire for fast, digitized solutions in an otherwise analog industry.
 
Then a use case was constructed that combined digitally-forward tools and a dual client and end-user value proposition. The client would use sensors to acquire insight into when customers needed to swap out parts and provide that service directly to customers in the future.
 
Security:
Connecting machines to an external network seriously opens up the surface area for an attack — something many manufacturers have never reasonably predicted. Many IIoT networks are easy targets for hackers; 84 percent of industrial companies have at least one remotely accessible device, and 57 percent are generally not running feasible antivirus protections. When making new investments, plan from the very start and understand your company’s risk profile to ensure the integrity of the machine and data, as well as the ability to push trusted updates to address discovered vulnerabilities is imperative.
 
In the face of those challenges, some manufacturers are hiding their IoT devices behind network firewalls and eliminating any external internet entry. This does provide some safety but incurs tradeoffs from an operational point as to be able to remotely observe, monitor and update those devices is compromised. Moreover, those tradeoffs can make it much harder to detect and mitigate a breach should a burglar penetrate the firewall. A better solution would harden the components and transmission layer so that monitoring and update protocols can be retained.
 
Change management and business process:
The very features that make IIoT technologies a success can also introduce a host of new employee-related issues. By way of example, machines that incorporate cameras may also violate corporate policies or employee expectations regarding privacy.
 
Be transparent about the “what,” “why,” and “how” behind the essentially objectionable parts of IIoT, and let your business processes evolve to complement your new reality. This also is a good time to think of health and safety regulations that may impose data retention requirements for the purposes of audit or compliance review.
 
Communication medium:
Your IIoT Internet connectivity can be gained by a large range of technologies including cellular, WiFi, Lora, and Sigfox. Remarkable research may be required to figure out the service that will provide the right mix of power consumption, signal reliability, adequate bandwidth, and platform viability to warrant investment — something a strong partner can help analyze. Remain flexible; the solution may be heterogeneous and scalable as the business grows.
 
Edge vs. cloud computing:
As IIoT systems formulate more data and the cost and power of edge computing improve, the IIoT industry will be operating data on the edges other than simply pushing it to the IIoT system. The result: Cleaner data, faster analysis and responses, and optimized bandwidth consumption. But edge computing comes with tradeoffs, including increased system complexity and the loss of the ability to analyze raw data sets. Data that is unrelated today often can be valuable tomorrow, so care needs to be given when translating raw data to higher level events. Apply insights from internal subject-matter experts or an external partner to anticipate, and plan for, change management around edge computing.
 
Data silos:
Most organizations suffer some kind internal data siloing, but diligent planning can help avoid new ones when adding IIoT. Standardize the formatting, processing, and storage of your new IIoT data from the beginning to sidestep siloing and ensure long-term value. Remember that your actual workforce will never be the solely one interacting with the data, and that future employees will depend on its precision in making future business decisions.
 
Retrofitting legacy machines:
Given the 30- to 40-year lifespan of manufacturing equipment, your business potentially will need to plan for retrofitting legacy machines to avoid dark zones where visibility disappears and work just isn't tracked. Sensors and other third-party technology can be bundled with an enormous array of existing equipment.
 
With the right combination of plan and partner, IIoT investments can make your manufacturing company better agile and better prepared to face competitors, avoid problems and grow for the future.
 
This article is originally posted on tronserve.com
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