1. The feasibility study will start with a literature overview of the domain in which this Digital Twin will be developed. Emerging from this literature study are research gaps and questions to be included in a proposal for a full project. The literature study will focus on what information is currently available. This includes a list of fruit, vegetable and flower quality decay models that are candidates to be included in the mathematical shelf-life concept. Furthermore, an overview of supply chain decisions will be compiled that are suitable for the quality-controlled logistics approach we propose. Finally, we will focus on published case studies involving sensor data and climate control, focusing on the application of CFD computation advances to model climate conditions during storage and transport.
2. Dialogue meetings will be organized, focusing on i) idea generation, ii) inventory of methodological issues and iii) discussion in inclusiveness issues. Depending on the research questions that emerge, other science groups (e.g. Information Technology Group, Geo Information Science, Consumer Sciences) will be invited to discuss the proposed setup of the digital twin focusing on what data is available/needed and what resolution suffices to improve supply chain decisions. We will discuss and challenge the proposed digital twin, explore opportunities with an open eye to new sensor technologies, data management and visualization issues. We will define a set of requirements for developing the Digital Twin, i.e. expertise, infrastructure and data. In addition, we will identify missing knowledge gaps and will come up with a list of commercial stakeholders that will be contacted to participate in follow up meetings.
3. Based on first two steps we will initiate the technical design of the Digital Twin, make choices on which quality decay models to include, aiming for one fruit, one vegetable and one flower decay model, including candidate sensor requirements and the demands that need to be for filled with regards to visualization software. The technical design will focus on the intervention infrastructure (changes in logistics, incorporation of (new) sensor data and data management) needed for a successful implementation. Together with the methodology and inclusiveness platforms we will identify opportunities and possible issues. This part of the feasibility study will be finalized with a SWOT analysis that will be shared and discussed with the stakeholders.
4. The feasibility of applying for a Flagship proposal will be discussed within the science groups including those that were identified in step 2. We will analyze the potential for synergy between WR and WU and between different science groups. We will analyze the potential impact impact of the Flagship proposal, both scientifically (quality decay models, interventions to create quality-controlled logistics, sensor technology, data management) and societally (increasing fresh chain efficiency, decreasing food waste, reduced carbon footprint, lower costs, higher profits, and consumer health). Potential business models regarding the cooperation with industry stakeholders will be identified and discussed. The setup of the Flagship proposal will be shared with selected stakeholders to gain interest and probe for, and possibly secure, additional funding.
5. All data gathered in the previous steps will be part of the feasibility study report, including the decision whether to apply for a Flagship proposal.
|Effective start/end date||1/01/19 → 31/12/19|