J.P.S. Piest (Sebastian)

SMART4L

a learning community and platform to accelerate (inter)regional collaboration for ICT-driven innovation in logistics

SMART4L will (re)design, optimize, and substantiate learning communities in three regional contexts (Port of Twente, Logistics Lab Zwolle and KmD-Datalab). It will do so by (1) examining factors for sustainable cooperation, collective learning processes and individual outcomes in these two existing ecosystems; (2) developing a collaborative ICT platform to facilitate knowledge sharing, learning, and collaboration among stakeholders; and (3) identifying and optimizing social processes that increase innovation and learning processes at the micro- (from learning to innovation within organizations), meso- (the dynamics of learning and co-creation between organizations), and macro-level (the dynamics of co-creation within and between the three regions). Taken together, SMART4L will facilitate (inter)regional collaborations in the logistics sector to improve the learning and adoption of IT innovations, thereby increasing the sector’s efficiency and sustainability.

TRIUMPH

Transitioning towards resilient multimodal corridors using digital twinning

In this project, we build upon existing capabilities to monitor multimodal corridors by providing platform functionality and supporting work practices to transition toward resilient and climate-adaptive synchromodal corridors. Developing such a platform requires collective efforts to share data (e.g., geo-hydrological, IoT, weather, planning, logistics) and develop interorganizational processes to mitigate risks of reverse modal shift and reduce its cascading effects. The main objectives of this 3-year project are to: 1. develop a resilience toolbox to support companies and public stakeholders to individually and collaboratively develop resilient corridors, focussing on transforming existing corridors; 2. design and develop a digital twin for resilient multimodal corridors, supporting the transition into a synchromodal corridor being able to use the best modality at any moment.

Autonomous Logistics Miners for Small-Medium Businesses

The objective of this project is to improve the competitiveness of Small & Medium Sized Businesses in Logistics with the application of smart data mining agents that make decisions autonomously and can execute routine tasks with minimal supervision of human workers.

Synchromodal IT

Within the project Synchromodal IT, the University of Twente, together with eight industry partners, developed new IT services for synchromodal logistics. The project was created based on a unique combination of mathematical methods, gaming and IT expertise.

STEERS

TowardS inTelligEnt intER-hub-logiStics

The focus of STEERS is to explore the real-life challenges associated with the logistics operation in a small-to-medium size logistics hub and investigate the potential of intelligent and connected technology to address such challenges. This project will investigate the requirements for the application of automated vehicles in inter-hub transportation and simultaneously explore the potential of intelligent inter-hub corridors. Additionally, inter-hub communications will also provide the opportunity to explore their potential impact on the planning and coordination of intra-hub activities, with an explicit focus on the changing role of human planners.

CLICKS

IDS connector store and interoperability simulator for SMEs

This project develops the Logistic Data Space (LDS), which allows logistics companies to participate in digital ecosystems for efficient collaboration and new services. LDS consists of a Connector Store, offering connectors to realize data exchange between heterogeneous ICT environments, and an Interoperability Simulator, to explore collaboration opportunities prior to implementation.

REAL

Reinforcement LeArning Platform for SMEs in Logistics

ReAL goes from prototyping to a scalable reinforcement learning platform based on the Open Trip Model (OTM), and made available to the logistics industry (especially SMEs). The platform supports decision-making in logistics processes, is developed/tested by partners from the ICCOS-consortium, and will also be complemented by training materials and workshops.

ICCOS

Industry 4.0 driven Supply Chain Coordination for SMEs

ICCOS aims at improving the competitiveness of the Dutch logistics sector by increasing the adoption and usage of industry 4.0 related technologies in combination with advanced real-time data analytics.

DASLOGIS

Development and valorization of a Dutch Data Space for LOGIStics

the DASLOGIS project pursues the development of a DLDS: a digital virtual environment or eco-system which facilitates finding and controlled sharing of (potentially) sensitive data. It provides flexibility, extendibility and personalization to support the three main types of logistics data sharing [1]: ‘sharing of transaction data for operations optimization’, ‘sharing of (big) data for data for data analytics’ and ‘sharing of supply chain data for real-time visibility’. DLDS will be based on the generic and internationally standardized International Data Spaces (IDS) reference architecture as developed by the International Data Spaces Association (IDSA), augmented and tailored to Dutch logistics needs where applicable. In a proof-of-concept setting, the project partners provide the required functionality in a Dutch logistics context. The initial DLDS implementation will be used to demonstrate the feasibility and value of a DLDS for the Dutch logistics sector using logistics use cases.