Lantek – Intelligent Project Optimisation Lantek Sector: Industry Business Case The problem is the efficient distribution of tasks that arise in a project managed with the agile method. As the sprint progresses, employees are assigned tasks based on their availability and skills. Objectives Seek optimal scheduling in an automated manner to minimise total costs, considering […]
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Mondragon Unibertsitatea – Warehouse-Optimised Work Order Generation Mondragon Unibertsitatea Sector: Logistics Business Case The challenge is to generate optimised manufacturing orders for the operators of a company that distributes industrial vehicle parts. Currently, these orders are generated almost manually and based on the experience of the person generating them. The use of optimisation techniques will
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Multiverse Computing – Optimisation of energy markets Multiverse Computing Sector: Energy Business Case Forecasting and optimisation of energy production based on meteorological and energy consumption/generation data. Objectives Research and development of an algorithm to solve hybrid quantum-classical stochastic problems, and its application to energy market problems with random variables. Use case Improve estimation error to
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Multiverse Computing – Digital Twin for the Application of Quantum Computation in Hydrogen Generation Plants (GDH2) Multiverse Computing Sector: Energy Business Case The hydrogen electrolyser currently faces several problems. One of the main ones is energy efficiency, as the conversion of electricity to hydrogen can have significant losses. Component durability and service life are also
Sener – ToD, Transportation on Demand, optimising the planning of a fleet of vehicles Sener Sector: Mobility Business Case ToD is an algorithm that optimises the planning of a vehicle fleet. It can manage the pick-up and drop-off of passengers from geographic zones based on the road network of each zone. It has been designed
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Ayesa – Optimisation in the process industry Ayesa Sector: Industry Business Case How to reduce energy consumption and CO2 emissions in those industries whose manufacturing processes last hours/days? How to take a common approach to a cognitive plant prediction/optimisation that works for 4 different productive plants? Objectives Identify, collect and homogenise relevant information in the
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Skootik – Optimal construction planning of electrical projects Skootik Sector: Energy Business Case We have several electrical projects (substations, lines, repowering, etc.) to be built. There is not enough capacity to start building them all at once, so one has to plan when to build each project. Each project involves a construction cost, and the
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Tecnalia – Generation of convenient itineraries in the urban environment in the face of extreme temperatures and heat waves Tecnalia Sector: Administration Business Case Cities need to take actions to help them adapt to climate change, including ensuring the thermal comfort of citizens and, in particular, of those who are most vulnerable to extreme temperature
Tekniker – Title – Digital-Twin surrogate for extrusion optimisation Tekniker Sector: Industry Business Case Relaunching the extrusion after a recipe change or to test a new compound in a tyre manufacturing plant is a manual task that relies on the experience of each operator. In turn, each extrusion start produces a certain residue and results
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Tknika – Hand Tracking XPlanar Technology Tknika Sector: Education Business Case Create interactive environments that allow a more intuitive and practical understanding of complex concepts. This system uses a vision camera and artificial intelligence algorithms to detect and track hand movements in real time. The information collected is integrated with an XPlanar magnetic levitation system,
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