Logistics Analytics 2018

Аватар пользователя Алексей Емеличев

Logistics Analytics 2018

EURO mini-conference on Logistics Analytics 
Minsk, Belarus, Jun​e 18​-19

We have a great pleasure of inviting you to participate in the EURO mini-conference on Logistics Analytics to be held in Minsk, Belarus, on June 18-19, 2018. 
The Conference is organized by Molde University College — Specialized University in Logistics (Norway), Belarusian State University and National Academy of Sciences of Belarus. The Programme and Organizing Committees are preparing a high quality scientific program and an interesting social program for the Conference. The conference is an excellent opportunity for the logistics analytics community to meet in a warm atmosphere.
The aim is to bring together researchers and practitioners interested in the development of analytical models, methods and tools for various logistics applications. The major focus is on new trends in logistics analytics.
Several outstanding Plenary and Semi-Plenary speakers from North America, Western and Eastern Europe will present their latest achievements in Logistics Analytics and outline ways of future developments in this area. Submission of abstracts (max: 1500 ch.) is opened on EasyChair . There will be the option of submitting the best papers presented at the conference to Omega — the International Journal of Management Science in order to be published in a cluster.
Visiting Belarus is visa-free for 5 days for most countries if entering and leaving via the International airport Minsk, and not from Russia. We are looking forward to meet you in picturesque Belarus, in June, 2018!

The topics of interest cover analytical models, methods and tools for logistics applications. These applications include but are not limited to
Location and distribution
Supply chains
Green operat​ions
City logistics
Health and humanitarian logistics
Natural resources and energy logistics
Military and emergency preparedness logistics
Service logistics
Event and sport management

We are interested in presentations developing various analytical tools, techniques, models and methods such as
Optimization (combinatorial, continuous, stochastic)
Statistics and econometrics
Methods of economic analysis
Supply chain management
Data processing and analysis
Risk assessment and analysis
Cooperation and coordination
Identification technologies
Digitalization and visualization of logistics processes and performance measures
Big data analysis
Artificial intelligence
Software tools for logistics analytics
Cooperative learning software tools