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The Transformational Role of IIoT in Asset Management

Incorporating the Industrial Internet of Things into asset management is revolutionizing the economic fabric of businesses across diverse sectors

Charlie Green

August 22, 2023

7 Min Read
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The Industrial Internet of Things (IIoT) is at the forefront of the industrial revolution, reshaping various sectors, with asset management being a prime beneficiary. By seamlessly integrating intelligent devices, sensors and cutting-edge analytics, IIoT is not merely addressing, but actively alleviating the perennial challenges that have historically hindered optimal asset management. Recent research from McKinsey & Company reveals that IIoT can reduce maintenance costs by up to 20%, and extend the life of machinery by years. This is a game-changer for organizations grappling with issues such as unplanned downtime, inefficient maintenance schedules and the high costs associated with asset replacement.

Harnessing IIoT for Asset Management: A Comprehensive Exploration of Industrial Interconnectivity

The Industrial Internet of Things (IIoT) stands as a formidable force within the broader landscape of the Internet of Things (IoT). According to a report by Accenture, the IIoT is poised to contribute an astounding $14.2 trillion to the global economy by 2030. This growth is propelled by its unique capabilities: an extensive array of sensor technologies, cutting-edge remote diagnostic tools and state-of-the-art analytics software. These tools not only enhance the precision of asset management but also significantly reduce response times.

Historically, asset management relied on specialized sensing instruments or manual data collection from devices to inform its management strategies and using spreadsheets to analyze the data. However, with the advent of IIoT, each piece of equipment can be equipped with embedded sensors that continuously monitor and transmit its operational status and removes the risk of human error This enables real-time data collection, analysis and modeling, providing a more in-depth insight into equipment efficiency and overall asset performance.

A comprehensive survey by PwC revealed that among those experimenting with IIoT for asset management, a staggering 95% have experienced positive results from adopting these advanced asset management approaches. So, what are some of the advantages organizations can expect to gain?

Three Undeniable Benefits of Integrating IIoT into Asset Management

Improved Economic Efficiency

The incorporation of the Industrial Internet of Things (IIoT) into asset management is revolutionizing the economic fabric of businesses across diverse sectors. One of the most salient benefits of this integration is the potential for considerable cost savings, predominantly realized through predictive maintenance.

Predictive maintenance, a quintessential application of IIoT, equips businesses with the ability to foresee equipment failures before they transpire. Consequently, they can strategically schedule maintenance activities during non-peak hours, circumventing unforeseen breakdowns that could disrupt operations. A study conducted by Deloitte reveals that predictive maintenance can curtail maintenance costs by as much as 30%. This equates to substantial savings, particularly for large-scale operations where a single equipment failure can precipitate significant financial repercussions. Moreover, a report by the World Economic Forum elucidates that predictive maintenance can diminish maintenance planning time by 20-50%, augment equipment availability by 10-20%, and reduce overall maintenance costs by 5-10%.

IIoT devices also possess the capability to monitor energy consumption in real time, enabling businesses to detect and rectify inefficiencies. A report by the World Economic Forum indicates that IIoT can yield energy savings of up to 20% in manufacturing environments. This is particularly noteworthy considering that energy costs frequently constitute one of the most substantial operating expenses for manufacturing companies. By optimizing energy consumption, businesses can achieve significant cost savings and mitigate their environmental impact.

In addition to energy savings, real-time monitoring facilitates businesses in optimizing their inventory levels, ensuring they neither overstock nor deplete essential parts. This optimization can result in considerable savings in inventory costs. A report by McKinsey & Company underscores that businesses that harness IIoT for inventory optimization can decrease inventory carrying costs by up to 30%. This is accomplished by reducing surplus inventory, minimizing stockouts and optimizing reorder points predicated on real-time demand and supply data.

Enhancing Workplace Safety and Regulatory Compliance 

According to the Occupational Safety and Health Administration (OSHA), equipment-related incidents constitute nearly 15% of all workplace injuries. IIoT-enabled asset management plays an instrumental role in identifying potential safety hazards and ensuring compliance with industry regulations, thereby mitigating the risk of accidents and legal ramifications.

One of the most salient advantages of IIoT in the realm of regulatory compliance is its capacity for real-time monitoring and alerts. IIoT devices can perpetually scrutinize equipment and systems for any deviations from established safety standards. In the event of a potential safety hazard, these devices can dispatch real-time alerts to pertinent personnel, empowering them to take immediate corrective action.

Beyond real-time monitoring, IIoT-enabled asset management systems can autonomously generate compliance reports. This ensures that businesses possess accurate and contemporaneous documentation to substantiate their adherence to industry regulations. Automated compliance reporting diminishes the reliance on manual processes, which are susceptible to human error, and assists businesses in circumventing non-compliance penalties.

Moreover, IIoT devices amass copious amounts of data, which can be analyzed to discern patterns and trends related to safety incidents. This data-driven approach enables businesses to proactively address safety concerns and implement preventive measures. By harnessing the insights gleaned from IIoT data, businesses can cultivate a safer working environment and diminish the risk of non-compliance penalties.

Enhanced Asset Longevity

The Industrial Internet of Things (IIoT) is playing a pivotal role in transforming asset management by enhancing asset longevity. IIoT technology enables organizations to monitor the real-time performance of their assets, optimize operations and extend the lifespan of their equipment. This is achieved through several key mechanisms, including predictive maintenance, real-time monitoring and data-driven decision-making.

One of the most significant ways IIoT enhances asset longevity is through predictive maintenance. By collecting and analyzing data from sensors embedded in equipment, IIoT systems can identify patterns and anomalies that indicate potential failures before they occur. This allows organizations to schedule maintenance activities proactively, preventing costly breakdowns and extending the lifespan of their assets. For example, a manufacturing company can use IIoT sensors to monitor the vibration levels of a motor. If the sensors detect abnormal vibrations, the company can schedule maintenance to address the issue before it leads to a catastrophic failure. According to a study by Deloitte, predictive maintenance can reduce maintenance costs by up to 30%, improve asset availability by up to 20%, and extend asset lifespan by up to 25%.

IIoT technology enables organizations to monitor the real-time performance of their assets continuously. This allows them to identify and address issues as they arise, reducing the risk of equipment failure and extending asset longevity. For example, a utility company can use IIoT sensors to monitor the temperature and pressure of a steam turbine. If the sensors detect that the temperature or pressure is outside the acceptable range, the company can take immediate action to address the issue, preventing damage to the turbine and extending its lifespan. According to a study by ARC Advisory Group, real-time monitoring can reduce unplanned downtime by up to 50%, leading to increased asset longevity and reduced replacement costs.

IIoT technology provides organizations with access to vast amounts of data, enabling them to make informed decisions about asset management. By analyzing data from connected devices, organizations can gain insights into the health and performance of their assets, allowing them to optimize operations and extend asset lifespan. For example, a transportation company can use IIoT sensors to monitor the fuel efficiency of its fleet of trucks. By analyzing the data, the company can identify inefficiencies and implement changes to improve fuel efficiency, reducing wear and tear on the trucks and extending their lifespan. A study by McKinsey & Company found that data-driven decision-making can increase asset lifespan by up to 20%.

The transformative impact of the Industrial Internet of Things (IIoT) on asset management is undeniable. By leveraging IIoT technology, organizations can achieve significant improvements in asset longevity, operational efficiency, and workplace safety. The integration of intelligent devices, sensors, and advanced analytics enables real-time monitoring, predictive maintenance, and data-driven decision-making, all of which contribute to enhanced asset management.

By harnessing the power of IIoT, businesses can achieve significant cost savings, enhance asset longevity and improve workplace safety, all of which contribute to a higher ROI. As the IIoT continues to evolve and mature, its transformative impact on asset management will only become more pronounced, offering even greater opportunities for organizations to optimize their operations and maximize their returns.

About the Author(s)

Charlie Green

Senior Research Analyst at Comparesoft, Comparesoft

Charlie Green is senior research analyst at Comparesoft. Facilities management, smart buildings, workplace management and fixed asset management are his key research areas.
Charlie holds a master's degree which allows him to offer data led and empirical research driven reports.

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