This document lists several European and Latvian research projects related to logistics, transportation, and information technology conducted by the Institute of Information Technology at Riga Technical University. The projects address issues like supply chain planning, public transportation simulation, vehicle scheduling optimization, IT risk evaluation, and integrated monitoring of cross-border systems. The institute's research focuses on applying computational intelligence, simulation, and modeling to optimize complex systems.
Scientific research at Institute of Information Technology
1. INCO-Copernicus Concerted Action AMCAI "Application of Modern Concepts in the Automated Information-
management in the Harbours by Using Advanced IT-solutions"
INCO-Copernicus Accompanying Measure DAMAC-HP “Further Development and Practical Application of
Harbour Processes Managing and Controlling Models, Methods and Techniques”
Latvian State Research Programme “Optimisation of the Latvian Transport System”
Leonardo da Vinci pilot project LOGIS “Long-distance Tutorial Network in “Logistics Information Systems”
Based on WEB Technologies”
IST-2000 Accompanying Measure BALTPORTS-IT "Simulation and IT-solutions: Applications in the Baltic Ports'
Areas of the Newly Associated States"
IST-2004 Coordinated Action ELOGMAR-M “Web-based and Mobile Solutions for Collaborative Work Environ-
ment with Logistics and Maritime Applications”
Competitive and Sustainable Growth’ Programme SIM-SERV Project “Virtual Institute for Production Simula-
tion Services”
FP6 NMP Specific targeted research project ECLIPS „Extended Collaborative Integrated Life Cycle Supply Chain
Planning System”
ERDF project “Information Technology for Providing Sustainability of the Electrical Transmission Network and
Generation”
ELRI-184 INFROM “Integrated Intelligent Platform for Monitoring the Cross-Border Natural-Technological
Systems“
FP7 ICT CaaS project “Capability as a Service for Digital Enterprises“
State Research Programme 2.2.1. NexIT “Next Generation Information and Communication Technologies”
(sub-project “Research and Innovative Solutions in the Area of Intelligent Transport Systems”)
COST Action TD1406 “Innovation on Intelligent Management of Heritage Building”
ESF project „Information and Communication Technology Competence Center” (sub-project “Monolithic
Systems Decomposition Method Compliant with the Principles of SOA”)
IT Competence Center project „A Method for Decomposition of Monolithic Systems According to SOA
Principles”
INTEREG IIIC project „Grisi: Geomatics Regional Information Society Initiative”
Institute of Information Technology
Riga Technical University
Application of computational intelligence to problems in bioinformatics
IT risk functional modelling, analysis and management
Director: Prof., Dr. sc. ing. Jānis Grabis
Address: 1/3 - 400 Meza Street, Riga, LV-1048, Latvia
Phones: +371 67089594; +371 67089514
Fax: +371 67089513
Web: http://iti.rtu.lv/
http://mik.itl.rtu.lv/
Adaptation of enterprise applications to contextual changes
Hybrid modelling and optimization of complex systems and intelligent data processing
Integrated forecasting, modelling and simulation methods for industrial applications
Intelligent monitoring and control based on processing of heterogeneous data
Integrated simulation metamodelling and optimisation technologies
Simulation-based supply chain collaborative planning and sustainable management
Interactive geo-simulation and visualisation tools for logistics
National Research Projects
PublicTransport Simulation System
The project provides an interactive GIS-based dynamic
modelling tool for territory and transport planners that
allow analysing and improving an access of inhabitants
to public transport services. A cartographic material is
used to create a public transport network, to edit it and
evaluate accessibility and approachability of the public
transport.
Contact: Asoc. prof., Dr. sc. ing. Arnis Lektauers
Simulation-based Cluster Analysis and Optimisation
ofVehicle Schedules
The project offers an integrated methodology and
software tools for clustering of product delivery tactical
plans in regional distribution centres and optimising
vehicle schedules. A cluster analysis of delivery tactical
plans aims providing qualitative solutions for the
scheduling optimisation task and decreasing the
computation costs for the delivery planning task in
distribution centres.
Contact: Prof., Dr. habil. sc. ing. Galina Merkuryeva
IT Risk Evaluation Support System
The project offers an application domain specific
modelling and simulation language that allows
analysing of the IT risks based on unified specifications
of models of information systems, thus implementing
a single window approach. The developed software
prototype provides simulation and documentation of
IT processes with identified risks.
Contact: Asoc. prof., Dr. sc. ing. Andrejs Romanovs
National research grants:
- “Development of Intelligent Simulation Tools”
- “Development and Implementation of Intelligent Simulation and Optimisation Tools for Logistics Systems”
- “Development and Application of Simulation-based Tools for Analysis and Optimisation of Logistics Systems”
- “Development and Implementation of the Simulation-supported Training Methodology in Logistics”
- “Simulation-based Optimisation Using Computational Intelligence”
- “Simulation and Computational Intelligence Methods for Logistics and E-business Optimization”
- “A Continuous Improvement Theory for Enterprise Applications”
- ”Automated Generation of Analytical Models on Basis of Information System Models”
Research project profile:
2. Prior to new product introduction Upon new product introduction
The project addresses
multi-echelon supply chain
planning for industries
with batch and semi-batch
processes on a tactical
level (weeks/months)
spanning the full life cycle
of the product. The project
offers the simulation
optimisation environment
for automatic generating
and running a network
simulation model, generat-
ing production rules for
switching from one
planning policy to another
and optimizing parameters
of a multi-echelon cyclic
schedule, thus providing
conditions for minimiza-
tion of the total inventories
through the whole supply
chain, taking into account
a product life-cycle.
Extended Collaborative Integrated Life Cycle Supply Chain
Planning System, FP6 NMP2-CT-2006-032378, 2006-2009,
http://eclips.eu
Contact: Prof., Dr. habil. sc. ing. Yuri Merkuryev
The CaaS vision is to enable configuration of business services by enterprise business
models and development of executable software with built-in contextualization
algorithms. Context aware business capabilities are developed using Enterprise modeling
techniques as a starting point, capability design patterns for reuse and best practices
based identification and composition of required capabilities and delivery adjustment
algorithms to modify capability delivery to the changing execution context.
Contact: Prof., Dr. sc. ing. Jānis Grabis
Capability as a Service in Digital Enterprises FP7 ICT ICT-2013.1.3,
Reference No. 61135, 2013 – 2016, http://caas-project.eu
Integrated Intelligent Platform for Monitoring the Cross-Border
Natural-Technological Systems, ESTLATRUS/2.1/ELRI-184/2011/14
within European Neighbourhood and Partnership Instrument 2007 –
2013, 2012-2014, http://infrom.eu
The project offers an integrated technological framework and infrastructure for real-time
intelligent monitoring and control based on processing heterogeneous data received
from space and ground-based facilities. The technological platform provides image
processing, integration of heterogeneous data and knowledge, crowd sourcing and
interfacing with GIS, as well as data-flow computing models, geo-simulation and 3D
visualisation. Support tools and modelling scenario are developed for specific use cases -
river flood short-term forecasting, analysis of water pollution and forest fire distribution.
Contact: Prof., Dr. habil. sc. ing. Yuri Merkuryev