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Machine as a Service(MaaS): Implementing a Performance-Based Business Model
Today, End-user factory owners purchase industrial machines from equipment builders (OEMs) spending large capital expenditures. This traditional sale is changing and a new trend is emerging. OEMs have begun to charge the End-user based on machine usage and service with revenue received on the amount of the finished goods produced. Real-time operations becomes a focus to both parties and to ensure machine performance is optimized, sensors monitor the machines via IIoT for predictive maintenance. This agreement allows OEMs to receive a continual source of revenue while the End-user benefits from a high rate of production and increase in market share—a “win/win” partnership for both.

In this webinar, Justin Rak and Mandeep Ahuja will explain how innovative OEMs and End Users are partnering to create performance-based business models that mitigate risk and align the goals of both parties. They will discuss benefits for machine builders and manufacturing customers, how to overcome the challenges of moving away from the traditional purchasing model, and what role machine data could play in the implementation of a successful MaaS program.

Join us to gain a better understanding of machines-as-a-service and how to shift from capital to operations expenditures.

Oct 28, 2020 02:00 PM in Eastern Time (US and Canada)

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Justin Rak
Business Development Engineer @ifm efector, inc.
Justin Rak is ifm’s OEM Business Development Engineer for the Western United States. With seven years’ experience as a Technical Sales Engineer, Justin has worked extensively with machine builders in a wide variety of industries including: logistics, food and beverage, automotive, semiconductor, secondary packaging, and assembly automation. His current focus is helping OEMs realize more revenue and achieve better outcomes for their customers through innovating their machines and business practices.
Mandeep Ahuja
Industry 4.0 Architect @ifm efector
Mandeep Ahuja is an IIoT Solutions Advisor at ifm. His expertise lie in “Sensor to Cloud” architecture and provide process visibility anywhere anytime. Mandeep has extensive experience in industrial automation and controls technology along with SCADA/MES/Cloud applications. Some of Mandeep’s work include successfully crafting OEE for machines and implementing predictive maintenance solutions. Mandeep has lived and worked in 6 countries and is an avid Cricket fan.