Comment: The SatisFactory project aims at providing solutions for context-aware control and re-adaptation of industrial production facilities for increased productivity and flexibility in use of shop floor resources. Data are collected by a network of smart sensors, processed by a centralized analysis system and ultimately redistributed to the concerned operatives via augmented reality glasses and other connected interfaces. The elaboration of a collaboration platform increases real-time knowledge sharing, whilst gamification approaches implemented improve the attractiveness of the assembly lines. Improved shop floor feedback enables better decision making for gains in productivity, workers well-being and comfort. This set of cutting-edge technologies provide real-time informational support for incident management, maintenance and training.
As such the project outcomes will be exploited as market oriented solutions as a whole, in bundles and as distinct technologies for the targeted market stakeholders, with the supplement of the outgoing character attributed to certain project data with the participation in the Open Research Data (ORD) pilot.
Comment: The SatisFactory consortium, following field installation and testing with its end-user industrial partners, has identified various market segments of interest where applicability of its solutions can be considered. Furthermore the strength of the SatisFactory solution lies in the ability to offer a portfolio of solutions as a whole, as groups of products (bundles) and as individual products and/or modules aligning with market trends, as well as European-wide initiatives towards Industry 4.0. Additionally, the developed tools are usable and beneficial across sectors for any organisation working on a roadmap to the Factories of the Future. As such markets that can benefit from the SatisFactory solutions are Automotive, Oil & Gas, Manufacturing, Facility Management, Telecommunications and Maritime Transportation
Comment: DIGICOR provides novel business opportunities to industrial associations or clusters, who are ideally positioned to offer DIGICOR Platform (with associated tools and services) under the PaaS model.
Platform providers can offer DIGICOR platform as one-stop technological solutions that allow network members to advertise their tenders, find suitable partners, establish collaborative partnerships, formalise business contracts, share information and monitor the progress of distributed activities.
Comment: By providing an open ICT platform (with tools and services), DIGICOR contributes towards the development of an ecosystem that nurtures and supports the management and control of collaboration networks. Such an ecosystem also promotes the development, usage and uptake of advance technological solutions, thus contributing towards the advances in technology and skill set in a wider context.
Comment: The target clients of DIGICOR Platform are the industry associations and SME clusters that traditionally provide the partner search, match making and facilitation of collaboration services. Although, the tools provided through the DIGICOR Tool Store can also be used by individual manufacturing companies to plan, monitor and optimise their production processes.
The Business Model Canvas is a strategic management tool for developing new or documenting existing business models. It’s a one-page document containing nine boxes that represent different fundamental elements of a business: 1. value propositions, 2. customer segments, 3. channels, 4. customer relationships, 5. revenue streams, 6. key resources, 7. key partners, 8. key activities, and 9. cost structure.
Within the Z-Fact0r project, we developed:
-Business Model Canvases for the Results that technical partners/beneficiaries wish to individually exploit and
-The Business Model Canvas for the entire Z-Factor solution.
Comment: To implement the entire system as a bundle of cloud-based tools and services.
Asymmetric business models: automobile [CRF] and electronics [ARCELIC] manufactures, IT providers in modelling [BOC], analytics [SAG] and simulation [SIMPLAN]
Comment: To establish proof-of-concept by demonstrating the above on real industrial cases from the automotive and the consumer durables industry and measuring the impact in terms of cost efficiency, time-to-production and resource consumption
Comment: Grow it as a real B2B Internet platform for European impact. Enable formation of federated platforms for different regions and/or industrial sectors/markets.
Digital collaboration marketplace
Big tools available through PaaS modality. Cloud service / app development facilities for software developers.
Note: ecosystem includes also the platform provider, 3rd party software as a service, financial services, smart contracts, etc.
IBM Bluemix / Cloudfoundry is our initial cloud platform. Google, Amazon, Alibaba are reference points concerning de facto product models, catalogues. FIWARE is a reference point concerning available software components.
Comment: DAEDALUS unleashes the (already existing) potentialities of the automation market to become multi-sided.
All core market stakeholders are impacted, either directly or indirectly (plant operators/owners).
A new generation of “Automation SW developers” may grow, thank to the abstraction layers of the technology.
Automation players interested in using the technology will have access to the showcase to understand its potentialities and learn the methodologies.
Comment: The Open vf-OS Platform, includes a multi-sided application marketplace that aims to become the Apps Store for the manufacturing industry. The app store and the development studio empower the crosselling of solutions that a company has developed to solve their problems to other companies in the same sector. Developers will engage on this business digital model.
Open vf-OS Platform ecosystem is composed of developers/technical providers, manufacturing users, manufacturing providers and service providers.
Software Developers can develop and upload to the vf-OS marketplace device drivers and API Connectors for legacy platforms and services
The business model canvas is a strategic management and lean startup template for developing new business models. It can be used both as an innovation and an implementation approach. The UPTIME business model canvas is prepared as a seed for the project’s exploitation activities. Exploitation of the project’s results is the primary objective of all UPTIME partners. Moving forward, the consortium commits to prepare a detailed and robust business plan and go-to-market strategy, to maximize the opportunities to exploit the methods and tools developed in UPTIME. The UPTIME Business Model Canvas has been evolved during the project in order to adapt to the project’s outcomes, the findings of a detailed market research and the decisions of the consortium.
The UPTIME solution, consisting of extended e-maintenance services and tools, will be deployed and validated during the first wave of innovation within the manufacturing companies participating in the consortium, and its results will be diffused during the second wave of innovation including members beyond the UPTIME consortium; i.e. it will build up and expand vibrant ecosystems of providers and users of new e-maintenance, digital technologies and will foster exchanges between these providers and users.
To grow and sustain the ecosystem, UPTIME will encourage collaborative activities including learning and knowledge sharing activities, and networking events. It will design activities with recognition and awards attached to encourage desired behaviour and participation with the new e-maintenance services.
To sustain the ecosystem, UPTIME will cultivate and assess the knowledge and new forms of e-maintenance services and tools created by the ecosystem to inform new strategies, activities, roles, technologies, and business models for the future. It will provide opportunities for participants to play new roles and experiment with new activities. It will ensure that the UPTIME procedures, practices, and the technology support are available to sustain the ecosystem over time, and establish new roles related to harvesting and creating best practices in the ecosystem.
UPTIME will seek to strengthen the competitiveness of European industry by effectively building up and expanding a vibrant EU technological ecosystem for the manufacturing companies’ maintenance needs. The structure and membership of the UPTIME ecosystem will ensure that manufacturing companies of the consortium take on a driving role in the action, i.e. leading the innovation activities and liaising with end users, ensuring that the work responds to a clear market demand. Further information: https://www.uptime-h2020.eu/index.php/partner-programme/
The primary market segment UPTIME targets is the Manufacturing Industry. First of all, the opportunity is attractive: it is a quite large market where the economic impact of predictive maintenance is high and little has been deployed so far. Second, the competitive advantage of UPTIME is high: its Value Proposition fits very well with the needs of the customers, the expertise of the members of the consortium is strong in this domain and the 3 Business Cases are relevant.
Moreover, three secondary market segments because the technologies involved in UPTIME can be deployed in their contexts:
Process industries: any downtime results in immediate and irreversible loss of production without any possibility to compensate
Oil & gas / Utilities industries: the same rationale as with the process industry
Aerospace & Defense MRO: major players are currently seeking to implement predictive maintenance to optimize the Total Cost of Ownership of the systems
UPTIME’s strategy is to focus its efforts on the core market, the manufacturing industry, but with a pragmatic approach regarding the 3 secondary segments: follow-up market demand, anticipate specific expectations and seize opportunities.
UPTIME aims to exploit the full potential of predictive maintenance management and its interactions with other industrial operations by investigating a unified methodology and by implementing a unified information system addressing the predictive maintenance strategy.
UPTIME will implement scalable information processing technologies and user interaction with the system, e.g. by providing visualization of diagnostics, prognostics, recommendations, etc. UPTIME will be applicable at the level of component, machine and production system, depending on the placement of sensors throughout the production lifecycle and the data availability in the manufacturing company’s systems (e.g. Enterprise Resources Planning-ERP, Manufacturing Execution System-MES). Within UPTIME, there will be interactions between the various emaintenance services and the e-operations data and information from the manufacturing companies’ systems in order to synchronise maintenance with production, quality and logistics management.
The Value Proposition and the Market Positioning of UPTIME are the most important pillar for the success of
the exploitation activities. The objective is to have a clear understanding of the Value Chain, the structure of the competition, the segmentation of the market, its evolutions and its drivers, the main business expectations and constraints, and finally the customer problems and pains. From this accumulated knowledge, the relevance of the UPTIME solution will be evaluated and validated through direct contact with end users beyond the industrial partners of the Consortium (interviews, surveys and/or focus groups).
UPTIME seeks to strengthen the competitiveness of European industry by effectively building up and expanding a vibrant EU technological ecosystem for the manufacturing companies’ maintenance needs.
Within UPTIME, the Predictive Maintenance Management Model and Integrated System are going to be validate in the three business cases and industries, ensuring the cross-sectorial evaluation of the performance, usability and applicability of the UPTIME methods and tools in scenarios engaging various machine types.