The Smart Mobility Cluster is currently involved in the following research projects:

      • Accelerating C-ITS Mobility Innovation and depLoyment in Europe (C-MobiLE).
        C-MobiLE is a a large innovation project funded by the European Commission under the Horizon 2020 Programme. It aims to provide large-scale solutions for safe & efficient road transport on European roads, in particular in complex urban areas and for Vulnerable Road Users. It envisions a congestion-free, sustainable and economically viable mobility, minimizing the environmental impact of road transport. To this end, it will deploy large-scale and sustainable C-ITS (Cooperative – Intelligent Transport Systems) services in several pilot cities across Europe. The project consortium comprises 37 members including companies, research institutes, universities, and public bodies from 9 European countries. The main role of the IS Group’s Smart Mobility cluster members in the project is to define and elaborate C-ITS use-cases, design collaborative business models for the mobility services, and evaluate them for their viability and sustainability from various dimensions.
      • The HORSE Project is a research and development project funded by the European Horizon 2020 framework. It aims to develop technologies for Smart Factories, making end-to-end high tech manufacturing processes, in which robots and humans collaborate, more flexible, more efficient and more effective to produce small batches of customized products. This is done through the use of Internet of Things, Industry 4.0, collaborative robot technology, dynamic manufacturing process management, and flexible task allocation between robots and humans. The innovative view behind HORSE builds on two main developments:
        • the seamless integration of human and robotics actors in manufacturing steps, including advanced situation awareness to guarantee safety and augmented reality for task support;
        • the integration of horizontal manufacturing processes across individual manufacturing steps (and linked to end-to-end business processes) with vertical manufacturing activities within individual steps.

        As part of these developments, the TU/e team focuses on the application, and extension of existing Business Process Management (BPM) technologies for the high tech manufacturing domain, called Manufacturing Process Management (MPM). Benefits that the MPM system can bring are in the coordination and monitoring of the horizontal process on different levels. By standardizing and orchestrating the execution of the process the system provides an up-to-date overview of the end-to-end manufacturing process in terms of e.g. machine status, availability of resources, and traceability of (intermediate) products. The system coordinates tasks and dynamically assigns the most suitable resources (i.e. humans, robots, AGV, etc. in the factory) to execute the tasks. It also supports structured exception handling when e.g. defects, or alarms occur.

      • The Data and Algorithms Toolbox for Automated Services (DATAS) project: Efficiency and reliability in (city) logistics and supply chain planning is key to remain competitive and improve sustainability. The objective of this project is to research, build and test (in practice) advanced decision support systems for both multi-channel (retail, detail and e-tail) and multi-company collaboration. The starting point of our multi-channel and multi-company decision support systems involves connectivity, allowing data to be exchanged, shared and connected. Once connectivity is in place, intelligence needs to be built in order to make use of these comprehensive data sources. An information sharing platform will be developed which encapsulates information about the different processes, external factors (e.g. weather, vacation, etc.) and uses that information to provide effective decisions support services to its users. Specifically, adequate, timely and accurate information, based on various data sources is required. This could be (real‐time) information aggregated from multiple sources, including (cooperative) devices, such as transportation infrastructure sensors, but of course also the various information systems from the logistics service providers, shippers etc. The decision support systems to be developed will focus on collaboration. In the different distribution channels companies can benefit a lot from cooperation. Think of using the Retail network to position trailers close to cities, from which Detail and E-tail distribution could be handled. As such, the Retail network brings value for Detail and E-tail distribution. In Detail and E-tail networks, large consolidated volumes need to be transported, for which the Retail network could be used.
      • The Integrated Synchromodal Transport System Analysis (ISOLA) project:The ISOLA program provides the academic underpinning of the ambition and innovation vision that is formulated for synchromodality in the Topsector Logistics. The research will support the development of the multimodal transport system in the Netherlands, and by extension in Europe, into a truly synchromodal transport system, in which infrastructure use, transport services and operations are perfectly aligned with market demand. This requires the integration of data on infrastructure, services and transportation, the development of new synchromodal control mechanisms, and the analysis of demand characteristics of shippers. So far research has addressed horizontal alignment between modes into a coherent network. The main research angle for this program is the vertical alignment, however, i.e. the shipper/client orientation and the relations with the underlying network management. These vertical aspects will become apparent in 4 main scientific contributions:
        • Advanced freight transport demand models that include shippers’ logistics responses.
        • Models for the design and allocation of multimodal capacity.
        • Advanced planning and pricing algorithms for synchromodal networks.
        • An ICT infrastructure that allows interactions between the above three systems.
      • The Data-aided Adaptive Decision Support for Online Revenue Optimization project: Revenue optimization in Internet advertising is very challenging due to the highly dynamic environment. The future supply, i.e., available website slots to display advertisements, and the demand of advertisement owners, are largely uncertain in the online market.  In this project, we aim to develop a decision-support tool for revenue optimization for online companies who provide content (e.g., website slots for advertisements) or physical goods (e.g., online auctioneers). We will combine state-of-the-art techniques from the world of big data and the world of optimization to develop a decision-support framework that includes three main components: (1) a revenue prediction model, (2) an (improved) revenue optimization model, and (3) real-time updates.
      • BASE/X (Business Agility through Business Engineering in the Extended Enterprise) is an approach for the engineering (design) of service-dominant business in a networked, multi-stakeholder business environment. The approach covers all aspects from business strategy conception to business information system architecture blueprinting, including business models, service compositions and executable business processes. In this research activity, the BASE/X framework and its tooling are developed. Currently, there are three Ph.D. projects in execution, researching the following aspects of the BASE/X framework
        • Feasibility of business models from the cost/benefit and business network capability perspectives.
        • Mapping of business models and associated customer experience journey specification to executable business model specifications.
        • Alignment of business strategies, business models, and information system architectures.

        BASE/X has been applied in a large number of contexts, both in industry and in research projects. More information: Link1, Link2

The Smart Mobility Cluster was previously involved in, among others, the following research projects:

      • DAIPEX: Transportation companies often find that their day-to-day transportation execution does not conform to the transportation plan that they made in advance. To a large extent this is caused by the fact that the software that aids in the creation of transportation plans, does not take into account the real-world complexity of transportation and logistics. Rather, it uses approximations and abstractions that do not do justice to that complexity. As a consequence, the transportation plans that are generated by transportation planning software often lead to violated time windows, unnecessary delays, underutilized transportation capacity, etc. The real-world complexity of transportation planning is caused by the high level of detail that is required to get executable plans, the size of the instances as found in reality, and the large volumes of data that must be collected and processed to gather the information required to create the planning. A particular source of detail is stochasticity and time dependency of data, which is ignored by modern-day transportation planning software. To automatically compute transportation plans that have a better match with day-to-day transportation execution, transportation planning software must be developed to deal with these sources of complexity. Therefore, the goal of this project is to develop the algorithms and software that can handle time-dependent, stochastic, planning problems, based on high-volume information.
      • CoProFind is an industry-financed, collaborative research effort in collaboration with De Lage Landen, a global player in the field of asset-based financing. The project was started in 2009 and is planned to run for 4 years. The CoProFind project researches and designs innovative business models and operational models for the establishment and cross-organizational enactment of asset-based financial services. The models include highly dynamic, contract-based e-business models, process models for bidirectional process outsourcing, and corporate e-business architectures. Integration of models is a major aspect, as well as mapping to state-of-the-art information technology. As a project spin-off, a methodology is designed that supports the structured engineering of business models in the service industry and their implementation in networked business organizations.
      • GET Service is an international research project in the EU’s 7th Framework Programme. The main aim is to develop the European Wide Service Platform for Green European Transportation. This will provide transportation planners and drivers of transportation vehicles with the means to plan, re-plan and control transportation routes efficiently and in a manner that reduces greenhouse gas emissions. The project focuses on large-scale, real-time transport data integration, off-line and online planning using information obtained from this data, and flexible support for end-to-end logitics business processes.
      • National Logistics Information Network is a collaborative R&D effort between industry and academia to design and implement a next-generation information network that will form the collaboration backbone around the harbours of Rotterdam and Amsterdam. The network includes both functionality of a Port Community System for collaboration within the harbour context and a Port Services Portal for collaboration between harbour-based parties and third parties (such as road-based logistics providers). The project is funded by the ‘Dutch Pieken in de Delta’ program.


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