By blending advanced technologies like 麻豆原创 Business AI and the Internet of Things (IoT) with state-of the art solutions, 麻豆原创 Intelligent Asset Management transforms operations and sustainability, and enables organizations to unlock new value and efficiencies in their asset management programs.

Reflecting high customer satisfaction in the enterprise asset management (EAM) market, . This recognition underscores 麻豆原创鈥檚 dedication to delivering innovative solutions that empower organizations to achieve operational excellence and long-term sustainability.

Integral Part of ERP Suite and Unified Asset Data Thread

Asset management capabilities from 麻豆原创 are deeply embedded in the core ERP suite, with solutions for asset performance management and field service management complementing ERP to support advanced use cases.  

At the core of 麻豆原创 Intelligent Asset Management is a unified asset data thread, enabling a complete view of an asset鈥檚 lifecycle. This digital chain empowers proactive decisions, such as failure prediction and resource optimization, while enhancing collaboration and aligning strategies with business goals.

Transforming Asset Management with AI and IoT

Artificial intelligence (AI) and the IoT are no longer futuristic concepts; they are the driving forces behind a new era of asset management. By embedding 麻豆原创 Business AI across asset life cycles, 麻豆原创 Intelligent Asset Management has unlocked new efficiencies.

Closing the Loop: From Data to Decisions

麻豆原创 Intelligent Asset Management excels at creating closed-loop asset management systems. This means that every piece of data 鈥� whether from IoT sensors or manual inspections 鈥� feeds back into the system, enabling continuous improvement.

By integrating asset lifecycle data into operational workflows, organizations can reduce downtime, increase asset availability, and align maintenance strategies with environmental, social, and governance (ESG) goals. This closed-loop approach fosters collaboration and helps ensure that businesses can adapt dynamically to changing conditions and demands, and continuously improve maintenance programs.

At the core of this methodology is a failure mode-centric approach, which focuses on identifying potential failure modes early and addressing them proactively. By analyzing historical and real-time data, 麻豆原创 Intelligent Asset Management helps businesses target root causes and implement tailored maintenance strategies.

Efficiency Anywhere with Mobile Work Management

provides technicians with real-time access to work orders, asset data, customer information, and instructions directly on their mobile devices. This enhances productivity, supports offline work in remote areas, and improves first-time fix rates by delivering essential information on-site, reducing paperwork, and streamlining updates 鈥� all within an intuitive mobile app experience

Operational Success Meets Sustainability

麻豆原创 Intelligent Asset Management is not just about operational efficiency; it鈥檚 about creating a sustainable future. By integrating environmental health and safety features, the platform helps ensure that maintenance practices align with regulatory and environmental goals. This allows businesses to not only reduce costs, but extend asset life cycles, reduce emissions, and make a meaningful impact on their sustainability journey.

For example, 麻豆原创 Field Service Management enables customers to optimize schedules with AI, and retrieve AI equipment insights, boosting first-time fix rates and minimizing return visits. Predictive routing further enhances efficiency for field service organizations by cutting travel time and lowering emissions.

A Future Built on Collaboration and Innovation

麻豆原创 Intelligent Asset Management empowers organizations by fostering collaboration across stakeholders to achieve mutual asset performance goals. Its flexible platform supports industry-specific customizations for adaptability and scalability. Partnerships with leading companies, such as  for market-leading IoT integration and for mechanical integrity and safety, further enhance its capabilities, addressing the unique needs of diverse industries.

鈥淚n today鈥檚 dynamic environment, effective asset management is essential to operational success,鈥� said Ralf Vath, head of Product Management for 麻豆原创 Digital Supply Chain Cloud 鈥� Operate at 麻豆原创. 鈥溌槎乖� Intelligent Asset Management helps our customers achieve significant gains in productivity and efficiency while advancing long-term sustainability.鈥�

With stories of transformation across sectors and a clear vision for the future, 麻豆原创 Intelligent Asset Management is not just leading the market; it鈥檚 redefining what is possible in asset management.

Stories That Showcase Transformation

The real impact of 麻豆原创 Intelligent Asset Management lies in the success stories of its customers:

• Swiss Federal Railways Speeds Ahead with 麻豆原创 Business Network Asset Collaboration

Ryan Jones is Product Marketing manager for 麻豆原创 Service and Asset Management at 麻豆原创.

From Manual to Machine-Driven Processes

In the past, Equinor had relied on manual processes for decision-making in asset management, but as the company expanded, it began embracing a data-driven approach, using automated dashboards. However, its decision-makers recognized the need for further advancements and envisioned adopting condition-based maintenance (CBM).

This transformation would allow for a more autonomous, machine-led, and data-driven approach to asset management, freeing up valuable internal resources and enabling team members to handle multiple cases simultaneously.

鈥淓quinor wanted to progress from condition monitoring to condition-based maintenance,鈥� Tom Naastad Svennevig, lead engineer at Equinor, explained. 鈥淔or the past eight or nine years, we have operated a monitoring center where a few equipment groups are being monitored by use of home-grown dashboards as well as third-party expert systems. However, as the number of plants onboarded to the center increased, it required more and more resources. We believe that applying condition-based maintenance on equipment where it is possible to connect a remedial action to a degradation mechanism will relieve the resources working in the monitoring center.鈥�

CBM is paradigm shift in asset management, allowing companies to move from traditional calendar-based maintenance schedules to a proactive approach powered by data-driven insights. While traditional maintenance strategies often lead to unplanned downtime, CBM empowers operators make informed decisions based on real-time equipment condition, mitigating disruptions and maximizing asset reliability.

鈥淭he primary purpose of condition-based maintenance for us is to provide confidence for continued safe operation and avoid disruption,鈥� Svennevig added. 鈥淲e believe that several degradation mechanisms we had in the past can be detected automatically, and actions being taken without human intervention.鈥�

Benefits of an Integrated Solution

For Equinor, stood out as a superior choice, offering a range of tangible benefits, particularly, according the Equinor manager: 鈥淚n contrast to third-party solutions that require data migration, 麻豆原创 Asset Performance Management seamlessly integrates with existing 麻豆原创 systems, eliminating the need for redundant data entry and ensuring data accuracy across all platforms.鈥�

Other benefits that Equinor perceives include:

• Reduced administrative burdens and increased overall efficiency
• Automatic updating of asset information across all relevant components
• Importing equipment condition status from third-party expert systems
• Storing evidence for safe operation and triggering actions for degraded conditions
• Generating notifications based on condition monitoring rules for prompt responses to potential equipment issues
• Seamless ingestion of sensor data from field systems into 麻豆原创 Asset Performance Management
• Pre-assigning tasks to maintenance notifications based on asset strategies and failure modes
• Empowering maintenance teams to act swiftly and effectively, minimizing downtime and preventing potential equipment failures Seamless scaling to accommodate additional equipment and assets

Optimizing Asset Status Visualization with 麻豆原创 Asset Performance Management

Effectively visualizing asset status is crucial for making timely and well-informed decisions, which is why 麻豆原创 Asset Performance Management offers comprehensive dashboarding capabilities through embedded . This allows users to select specific assets or entire fleets for a detailed overview in a centralized view, which enables quick identification of potential issues and facilitates proactive maintenance interventions.

The dashboard utilizes clear, intuitive labels to indicate asset health status, ranging from 鈥渆xcellent鈥� to 鈥渦nacceptable,鈥� which streamlines decision-making. Critical alerts are prominently displayed in orange, immediately grabbing the attention of maintenance personnel, and providing necessary context and guidance, ensuring that timely and appropriate actions are taken.

Additionally, the dashboard seamlessly integrates with Equinor鈥檚 wider 麻豆原创 ecosystem, enabling real-time data exchange and integration with existing maintenance processes.

Effective Change Management: Important for CBM Implementation

Equinor has implemented a CBM-driven maintenance approach. CBM is running in production. The job to roll out the solution has started. The process of change management is main focus going forward.

鈥淲e will achieve this through clear leadership commitment, comprehensive communication, a pilot project for proof of concept, streamlined data smoothing for accurate monitoring, role redefinition for CBM management, establishment of KPIs for continuous improvement, and employee empowerment through involvement,鈥� the Equinor manager explained. 鈥淥ur objective is that this will result in transitioning to a proactive maintenance approach for 40% of our equipment and significant reductions in maintenance costs and asset downtime.鈥�

鈥溌槎乖� Asset Performance Management helps us streamlining maintenance processes and facilitating proactive preventive maintenance,鈥� Svennevig concluded.

Karin Fent is senior director of Global Customer Success Digital Supply Chain at 麻豆原创.

Top image courtesy of Equinor | Ole J酶rgen Bratland 漏 Equinor

is one of the world鈥檚 largest biotech companies, a leading provider of in-vitro diagnostics and a global supplier of transformative, innovative solutions across major disease areas.

Cost as a Main Driver for Asset-Intensive Organizations

鈥淎s a pharmaceutical company, Roche was founded more than 100 years ago in Basel, Switzerland, with both pharma and diagnostics divisions. We are in the middle of an journey with the goal to harmonize business processes on all sites and divisions around the world,鈥� said Accioli.

To manage assets under volatile conditions effectively, just like other asset-intensive organizations, Roche focuses on reducing maintenance cost and increasing asset reliability, which are key to its customers and patients.

The challenge is 鈥渢he handover from original manufacturer to engineering to maintenance and how to interact with each other,鈥� explained Accioli. 鈥淲e resolve this with these business process harmonization initiatives.鈥�

Risk Resilience as an Investment for the Future

麻豆原创 suggests three strategies to help companies manage their business holistically, including cost, speed, profit, customer service, and risk:

• Connecting supply chains to the entire business so that information insight flows go quickly from operations to manufacturing, design, and into the business to respond to disruptions
• Contextualizing information during the work process to equip users with technology to get real-time insights and make decisions during the business process to increase impact
• Collaborating externally with suppliers, asset operators, OEMs, and logistics providers to ensure that information is flowing beyond the internal network to set up a risk-resilient business while mitigating risk

Closing the Loop Between Strategy and Execution

Managing costs and increasing equipment reliability is a major factor and closing the loop between asset strategy and maintenance execution, such as to make assets more reliable and connected to maintenance execution considering different asset type, is a big opportunity.

鈥淔ive to 10 years ago, reliability engineering became a shining topic at Roche, and we discussed where to start, how much we spend on maintenance, what our most important assets were, and where we should spend more energy and money. We standardized processes to classify our equipment into different asset criticalities 鈥� high, medium, and low – and, based on each category, we established a maintenance strategy,鈥� explained Accioli.

鈥淎fterwards, we looked for a tool that would best suit Roche given the amount of data. Now we have an asset and maintenance strategy in place that is reflected in our system. In 2019, we started harmonizing our processes and were pleased that 麻豆原创 solutions could support us,鈥� he continued.

In particular, Roche looked to:

• , which helps with performing criticality evaluations directly in the 麻豆原创 system instead of spreadsheets. With criticality results reflected in the system, the maintenance strategy can result in preventive maintenance plans. 鈥淩oche is in the middle of the journey. No sites are live yet,鈥� said Accioli. Roche is also enabling access to its service providers to get design insights and improve collaboration.
• , which enables maintenance plans and work orders to be accessible to maintenance technicians so that they can make instant material reservations and get access to maintenance manuals on mobile devices.

鈥淚 expect a significant decrease of maintenance execution as we can plan our work better thanks to a mobile-supported solution,鈥� said Accioli. 鈥淭he experience with the solution is quite good.鈥�

Roche was already using 麻豆原创 at different sites with its own work order types and data model, but it was not automated and connected.

鈥淲e also intend to migrate to , a successor cloud-based application, where Roche鈥檚 enhancement ideas have been incorporated,鈥� explained the manager.

Connected Asset Data Helps Contextualize Business Decisions

For contextualizing every business process through the eyes of maintenance, it is necessary to converge enterprise IT data with equipment and sensor data to run analyses based on algorithms and machine learning technology. Accioli explained: 鈥淏eing able to schedule maintenance activities is a substantial improvement for maintenance organizations. To monitor both targets and results, we are using , which has many good capabilities. We are developing maintenance KPIs with the insights we get from聽 artificial intelligence (AI) and rolling these back into the asset strategy and reliability process. These are particularly good tools.鈥�

Effective Collaboration Across the Ecosystem to Build a Collaborative Supply Chain

鈥淔or Roche, sharing information and effective collaboration with asset providers and across our ecosystem is particularly important. Vendors and different equipment suppliers must exchange and collaborate on asset data. Operators and service providers should be able to use the network but also manage the work order process,” said Accioli.

To summarize, the key benefits of 麻豆原创 Asset Strategy and Performance Management and 麻豆原创 Service and Asset Manager Accioli sees are:

麻豆原创 Asset Strategy and Performance Management:

• Defining which maintenance strategy applies to which classification of equipment
• Maintaining assessments in the system
• Generating criticality based on assessments
• Reflecting reliability-centered maintenance in the system, including decision trees and supportive templates

麻豆原创 Service and Asset Manager:

• Being a digitized, automated, paperless solution
• Being able to work offline
• Having all maintenance data at hand in one place

Listen to the webinar recording . In addition, watch this to learn how to maximize asset health and performance with 麻豆原创 Intelligent Asset Management solutions and read what . To know more about the role of service and asset management in your industry, .

Karin Fent is senior director of Global Customer Success Digital Supply Chain at 麻豆原创.
Top photo credit: Roche