on-demand webinar

Driving service excellence in heavy equipment

Estimated Watching Time: 47 minutes

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Service technician working on heavy equipment

Ensuring that the right parts to support your heavy equipment production are available in the right place at the right time and in the correct quantities is key in implementing a service strategy. By orchestrating service engineering operations throughout a product’s lifecycle, service lifecycle management software generates greater maintenance compliance, faster service, and lower costs for manufacturers and customers alike. You can improve communication between service and equipment design teams for better serviceability and reliability. You can effectively coordinate and plan for operational activities with real-time visibility to service events. Service activities can be performed with a full understanding of serialized equipment configurations, including physical asset BOM records, status, and service history.

Register for this webinar to hear about how the integration between Siemens Teamcenter Service Lifecycle Management and IBM Maximo can help you turn equipment service-related activities into a competitive advantage. The joint solution enables continuous process and data validation to optimize the complete product service lifecycle in the heavy equipment industry. You’ll hear from Siemens and IBM solution experts on the importance of optimizing the equipment service lifecycle with a closed loop strategy that spans from design to service engineering to service planning to enterprise asset management.

Meet the speakers

Siemens DISW

Brian Johnsen

Teamcenter Product Manager

Brian’s career with Siemens spans 29 years and 8 different companies. His career shifted into the world of product support and aftermarket service supporting sales of PLM driven solutions to the USAF and USN from 2001-2017. He currently works in Product Management for Service Lifecycle Management applications.

IBM

Tom Woginrich

Worldwide Business Value Advisor, Asset Management

Tom is currently working with leading AI, analytics, IoT and OT technologies to support client business efforts to gain efficiency and value in the asset management and maintenance & reliability business. His hands-on experience gives him a unique perspective in technology solutioning. His role is to assist companies willing to take advantage of the technology now available to help them identify the financial value and efficiency afforded by these technologies.

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