Four Challenges Businesses Need to Overcome to Accelerate Digital Transformation
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November 4, 2020
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At many organizations, the pace of digital transformation has reached hyper-speed over the past few months. To overcome the uncertainties and challenges they face, businesses must shift organizational mindsets and adopt technologies that support business continuity and sustainability.
But what does that mean to maintenance and operations? And what must companies do to continue to serve the people who depend on them for products, services, and livelihoods?
1) Enabling remote work
Consider the virtualization of work. In a survey conducted by Deloitte China in January 2020, 90% of the respondents said that it was an urgent requirement to provide their employees with remote and flexible work options.
In an operations environment, however, information systems are not designed for remote access, and critical data is usually locked within the plant. Another challenge that arises when the workforce is suddenly distributed is an increase in online activity, which can affect system stability, virtual private network (VPN) infrastructure, and security tools to support peak-traffic demands.
With subject matter experts (SMEs) working from home or elsewhere, how can your company adapt to providing remote access to data and consolidated situational awareness of plant operations?
Cloud technologies can connect people to the information they need to get their jobs done. Providing secure access to operations data—anywhere, anytime—enables users to consolidate data from multiple systems, including HMIs, SCADA, Historians, and Industrial Internet of Things (IIoT) devices to build a holistic view of asset and process performance.
2) Preventing asset failures
With the advent of the IIoT, today it’s possible to monitor nearly every aspect of operating assets. But if more than 80% of asset failures are random, how much of that data do you miss? How much do you not see, not interpret, or not use?
Data analytics, such as condition monitoring and predictive analytics, can detect early signs of random issues days, weeks, or months before failure. This allows SMEs to plan corrective actions and cut costs without jeopardizing the reliability and safety of the assets.
Our customers report saving millions due to early warning of asset performance issues and identifications inefficiencies, and up to 15% increase in asset availability.
3) Preparing for the changing workforce
At many companies, more than half of the workforce will be retiring in the next three to five years. Most of these workers are in key management and supervisory positions with the extensive experience and tribal knowledge that keeps operations running safely. How will their expertise make it to your next workforce generation?
And with digital natives expecting much shorter tenures, it is also critical that systems are easy to use, easy to understand. Shortening the ramp-up time and driving informed decisions from the get-go.
Companies must find ways to capture and retain that tribal knowledge continuously. Providing teams with workflows and validated remediation to known failure causes enables them to solve issues faster, minimize unplanned downtime, and increase safety. Companies that successfully tap into this knowledge report results such as improved workforce effectiveness and lower maintenance and inspection costs.
4) Eliminating bottlenecks in production
It is well known that productivity improvement is one of the biggest challenges for companies striving to remain competitive in a global market. Operations personnel can spend several hours making adjustments in response to changing raw materials, and often lose productivity because they are unable to identify the root cause of declining Overall Equipment Effectiveness (OEE). How can your teams quickly identify which plant assets are pulling their weight and which ones are not?
The ability to continuously monitor OEE of production lines in real time empowers personnel to take immediate actions to enhance performance and productivity. With this higher level of insight, users can quickly identify line bottlenecks and improve operating efficiencies that result in reduced costs and increased return on assets (ROA).
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