Deliverables

PUBLIC DELIVERABLES


D1.1 identified technical elements for specifications and design decisions of UPTIME platform architecture, business cases and business model. A database, which provides an overview of and assessment to the state-of-play of predictive maintenance models, techniques and platforms, has been developed and is accessible here .

D1.3 will provide the UPTIME Predictive Maintenance (technical) Data Model and the patterns specified for industrial/factories data acquisition, harmonisation and processing. The D1.3 will be available for public access by the end of 2020.

D1.4 will provide state-of-the-art of predictive maintenance algorithms related to diagnosis, prognosis, decision making, in order to define how the algorithms implemented in the UPTIME solution will go beyond the state-of-the-art. The used methodology is very helpful to establish a common understanding across the different disciplines in the project with respect to diagnosis, prognosis and decision-making. The D1.4 will be available for public access by the end of 2020.

D2.1 will provide the first draft of the UPTIME conceptual architecture and a set of functional/high level specifications in accordance to the UPTIME vision. The D2.1 will be available for public access by the end of 2020.

D3.2 will provide the first prototype of the diagnosis and prognosis components of the UPTIME Platform: UPTIME_DETECT, _PREDICT & _ANALYZE components. The requirements towards the diagnosis and prognosis framework from the UPTIME business cases and the UPTIME architecture are addressed.  A new component UPTIME_ANALYZE has been introduced to leverage manufacturer’s legacy data and operational data related to maintenance. The D3.2 will be available for public access by the end of 2020.

D3.4 will provide prototype of the data aggregation and visualisation component of the UPTIME Platform: UPTIME_VISUALIZE component. The requirements towards the user interface from the UPTIME business cases and the UPTIME architecture will be addressed. The D3.4 will be available for public access by the end of 2020.

D3.5 will provide the first prototype of the data-driven FMECA component of the UPTIME Platform: UPTIME_DECIDE component. The requirements towards the FMECA mechanisms from the UPTIME business cases and the UPTIME architecture are addressed. The D3.5 will be available for public access by the end of 2020.

D4.1 provides comprehensive definition of the FFT business case, including as-is and to-be businesses process and identification of FFT stakeholders/business, system and technical requirements.

D4.4 will provide evaluation and lessons learnt from the UPTIME concepts, algorithms and tools deployed in the FFT systemic infrastructure. The D4.4 will be available for public access by the end of 2020.

D5.1 provides comprehensive definition of the Whirlpool Business case, including as-is and to-be business processes and identification of Whirlpool stakeholders/business, system and technical requirements.

D5.4 will provide evaluation and lessons learnt from the UPTIME concepts, algorithms and tools deployed in the Whirlpool systemic infrastructure. The D5.4 will be available for public access by the end of 2020.

D6.1 provides comprehensive description of the MAILLIS Business case, including as-is and to-be business processes and identification of MAILLIS stakeholders/business, system and technical requirements.

D6.4 will provide evaluation and lessons learnt from the UPTIME concepts, algorithms and tools deployed in the MAILLIS systemic infrastructure. The D6.4 will be available for public access by the end of 2020.

D7.1 documents the planned activities of T7.1, T7.2 and T7.3 over the project duration. It describes detailed plans on project scientific and industry dissemination and communication activities, concept of the community building & management as well as its partner programme, and showcases events to demonstrate UPTIME to potential future users.

D7.2 will provide a detailed report on the dissemination and communication activities according to the plan described in D7.1 for T7.1, T7.2 and T7.3 as well produced dissemination and communication materials (electronic and print versions). The D7.2 will be available for public access by the end of 2020.

D7.5 will provide pragmatic and generic deployment methodology for new customers. The D7.5 will be available for public access by the end of 2020.

D8.1 presents an overview of the predictive maintenance market in Europe in order to understand its ecosystem and value chain, identify its drivers and opportunities. It describes the undertaken competitive analysis to identify where UPTIME stands towards competition and its key differentiators as well as the UPTIME value proposition that introduces UPTIME added value with respect to the market needs and competition. A market receptivity analysis with a feedback about UPTIME Value proposition and a market prioritization analysis that identifies the most promising market segments for the go-to-market strategy are also elaborated.  At the end, a business opportunity assessment that evaluates with concrete figures the size of the market within reach of UPTIME and a strategic analysis that combines all the aspects depicted above to guide the exploitation strategy are presented.

D8.3 will describes the standardisation activities, including: adopted standardisation strategy, position of the UPTIME standardisation strategy compared with the global standardisation context for the industry of the future, and the perspectives and way forward for the standardisation activities during the project. In the appendixes, details of technical aspects of standards of interest for UPTIME are provided. The D8.3 will be available for public access by the end of 2020.

D9.2 will provide a summary of project achievements. The D9.2 will be available for public access by the end of 2020.

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