EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
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Manufacturing throughput as-a-Service
The Manufacturing Throughput as a Service (MTaaS) solution set integrates edge-to-cloud infrastructure with digital operations performance management software into a cohesive solution, allowing manufacturers to experience step-function improvements in factory performance, both individually and across a distributed network of plants.
What EY teams can do for you
As manufacturers face challenges ranging from supply chain bottlenecks to global economic uncertainty, the need for optimized manufacturing throughput has grown significantly. Layered with unprecedented operational challenges due to evolving workforce dynamics, disparate infrastructure with unconnected data, and a host of legacy-driven performance issues, leaders need to rethink IT or operational technology (OT) integration, including the potential of embedded Edge AI.
MTaaS is a pre-certified suite of solutions that provide proven capabilities for driving digitization of complex operations, designed to help manufacturers start 4.0 modernization in a focused and accelerated manner. It establishes a platform for rapid, yet controlled rollout across the full production network. The pre-certified architecture approach helps avoid “pilot purgatory,” where approximately 70% of modernization efforts bog down, and allows for rapid scaling after initial success.
The MTaaS solution set offers:
- Pre-validated, fit-for-purpose components for risk-mitigated deployment.
- Scalable, secure architecture across the enterprise and across the globe.
- Accelerated value service through repeatable processes.
- Hybrid cloud platform for AI implementation and future workloads.
- Turnkey consumption on an integrated platform for easy usage.
- Remote manageability with embedded security and validated hardware and software.
The powerful EY Ecosystem is also a key driver, helping clients design and implement digital manufacturing improvements in a data-driven, outcome-focused manner to maximize economy, ROI, and enterprise value.
In the ecosystem model, EY teams serve as the business architect, solutions orchestrator, and integrator. It provides an industry-specific transformation experience to drive deployment, including design, build, and run, and supports post-implementation, continuous improvement. Dell Technologies provides an enterprise edge “brain” infrastructure, plugging-and-playing to a host of edge devices including sensors, robots, cameras, and other IoT components. Microsoft Azure Cloud provides the ability to harness data and manage applications across multiple clouds, on premise, or at the edge. PTC, GE Vernova’s Software Business (formerly known as GE Digital), and extended ISV partners provide value-based, fit-for-purpose solutions and software and are engaged as needed to meet client challenges and objectives.
Get started on your 4.0 manufacturing performance journey with a three-phased approach:
|
1 |
Plan: Define and Design |
Assess and prioritize against key archetypes, client-specific value levers and use case road map to identify baseline for deployment plan. |
|---|---|---|
|
2 |
Pilot: Prove and Refine |
Identify the pilot line or plant, conduct the pilot launch, refine based on learnings and update enterprise-wide plans. |
|
3 |
Scale: Engage and Accelerate |
Conduct an enterprise-wide rollout, engaging individual plants across the enterprise to accelerate timing and value. |
Manufacturing is about more than just production. Throughput, innovation at the edge, and deploying technologies capable of transforming operations are also important considerations. The EY-Dell Technologies Alliance has extensive experience in achieving transformation success.
Contact us to learn how our proven three-phased approach to sustained digital manufacturing performance helps drive speed-to-value while minimizing risks.
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