IIOT – 7 Common Pitfalls Manufacturers Should Avoid

Manufacturing executives turn to IIoT (industrial internet of things) solutions for a number of reasons. Technology can drive higher overall equipment effectiveness (OEE), reduce waste, and facilitate process improvements. Transformation also opens a way for innovations and helps engaging employees.

IIoT solutions have already sparked the fourth industrial revolution, hence the term – Industry 4.0. As of summer 2018, however, lack of preparation before implementing IIoT hinders the progress for most of the companies.

Deploying IoT has many pitfalls. Only 40% of businesses move past the proof of concept phase after understanding all of the risks. Moreover, only 26% eventually consider their deployment as a success.

Despite these obstacles, IoT market is expected to exceed 82 billion by 2025, according to Cisco.

Avoiding the pitfalls

Here are the 7 pitfalls to avoid on your Industry 4.0 journey:

1. Scope creep

Huge transformation projects that attempt to cover your entire plant are hard to manage and even harder to complete successfully. It is much safer and easier to start with a smaller project.

2. Having no destination

When there are no definite goals and overarching strategy to achieve them, it’s impossible to measure results. Just like you have KPIs for production, you need real measurements for any IoT project. Define the key points you want to achieve and measure the process before and after the project.

3. Lack of executive sponsorship

According to IBM’s survey among project managers, over 90% of respondents indicate “top management sponsorship” as the key reason for project success. Industry 4.0 projects require close cross-functional cooperation and will always fail without executive support.

4. Ignoring security risks

IIoT utilizes the wireless infrastructure and connects data between various remote access points. This opens up many security risks that require proper management, especially further down the line. Evaluate them and prepare a solid prevention plan beforehand.

5. Disparate data flows

In such a complex combination of infrastructure and analytics, it’s easy to get lost. You need to fully understand all the different networks used by your system. When possible, find ways to unify data flows.

6. Data overload

It’s simple – you can’t control what you can’t measure, and you can’t measure what you can’t see. Keep your data set manageable.

7. Lack of experience

Technology is useless if people using it don’t know what they are doing. To achieve real success with IIoT deployment, make sure that your company has enough expertise of people, vendors, and partners.

Save time

The list above may seem overwhelming already, but there are much more details underlying it which we can’t cover in this short article. We can, however, offer you a free consultation to discuss your own project in greater detail.

Before you continue searching additional information, feel free to contact us directly. It’s easy, free, and you can quickly find detailed answers to your specific questions.