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Introduction

Welcome to the Autonomous Operation and Remote Services KIT adoption view.

Vision​

The vision of Autonomous Operation and Remote Services is to enable resilient, highly efficient production operations through a digital ecosystem that allows remote, assisted and appropriate autonomous operation of highly automated manufacturing equipment. By combining standardized data exchange, secure dataspace mechanisms and advanced analytics, this KIT aims to ensure high machine utilization, reduced dependency on onsite specialists, and faster adaptation to changing market demands.

Mission​

The mission is to design, implement and validate a modular platform and operational processes that adhere to established standards to allow manufacturers, machine builders and service providers to share models, telemetry and data processing services across company boundaries. This approach enables autonomous operation of highly automated machine tools while preserving intellectual property and data sovereignty.

Today's Challenge​

Autonomous and remote operation of highly automated machine tools promises resilient, efficient production—but several key challenges must be addressed. Manufacturing environments are highly heterogeneous, and standardized data exchange and semantic interoperability are often lacking, which makes cross-vendor integration slow and expensive. At the same time, collaboration across company boundaries raises strong concerns about data sovereignty and IP protection, requiring trusted dataspace mechanisms, strict access control, and clear governance. Finally, the shift impacts people and processes: new AI-based workflows and knowledge-generation systems are needed to reduce dependency on onsite specialists while maintaining quality, safety, and accountability.

Business Value​

Solving the aforementioned challenges enables five key business values:

  • New revenue streams by turning digital capabilities into recurring offerings such as model subscriptions, analytics services, and Equipment-as-a-Service.
  • Increased machine and asset utilization by reducing downtime through on-demand remote operation, centralized expert support, and selective autonomous functions.
  • Reduced dependence on onsite personnel by enabling faster troubleshooting and guided operations despite skills shortages and limited local expertise.
  • Improved responsiveness to market changes by allowing production and processes to be adjusted and scaled more flexibly through digital workflows and remote updates.
  • Monetization of data and knowledge while protecting IP and sovereignty - using standards-based secure data exchange and dataspace mechanisms business partners can collaborate and generate value from telemetry and services without exposing proprietary know-how.

NOTICE​

This work is licensed under the CC-BY-4.0.

  • SPDX-License-Identifier: CC-BY-4.0
  • SPDX-FileCopyrightText: 2026 DMG MORI AG
  • SPDX-FileCopyrightText: 2026 Empolis Information Management GmbH
  • SPDX-FileCopyrightText: 2026 IFW Leibniz Universität Hannover
  • SPDX-FileCopyrightText: 2026 inovex GmbH
  • SPDX-FileCopyrightText: 2026 prenode GmbH
  • SPDX-FileCopyrightText: 2026 proALPHA GmbH
  • SPDX-FileCopyrightText: 2026 Siemens AG
  • SPDX-FileCopyrightText: 2026 Technologie-Initiative SmartFactory KL e. V.
  • SPDX-FileCopyrightText: 2026 TRUMPF Werkzeugmaschinen SE + Co. KG
  • SPDX-FileCopyrightText: 2026 VDMA e. V.
  • SPDX-FileCopyrightText: 2026 WITTENSTEIN SE
  • SPDX-FileCopyrightText: 2026 Contributors to the Eclipse Foundation
  • Source URL: https://github.com/eclipse-tractusx/eclipse-tractusx.github.io