LOGMS 2024 – International Conference on Logistics and Maritime Systems

International Conference on Logistics and Maritime Systems
https://www.logms2024.uni-hamburg.de/
August 26-29, 2024, University of Hamburg, Hamburg, Germany
Digital Waves in Logistics and Maritime Systems: Sailing Towards Efficiency

LOGMS provides a platform for establishing international networks among researchers and practitioners in logistics and maritime systems. The LOGMS conference is a meeting among maritime logistics and systems experts to share research methodologies and results with each other and explore future development directions. We hope that all people in this area are able to acquire useful information from this event and contribute to improving this platform.

Aims and Scope

The logistics and maritime industry is more and more driven by AI-enabled optimization and analytics, harnessing the vast amount of data generated everywhere in supply chains, including real-time data from IoT devices. This trend raises numerous research inquiries spanning areas like the operational management of autonomous vessels and transport equipment, gaining deeper insights into markets through the analysis of demand and price data, exploring new forms of collaboration, evaluating environmental impacts of systems and actors, and many more. Emerging innovations and smart technologies hold the potential to empower various stakeholders within the logistics and maritime sector, enabling them to make informed decisions, achieve heightened levels of performance, enhance sustainability, and ultimately bolster their competitive edge.

The organizers of LOGMS 2023 cordially invite you to submit your paper to this conference to join an open academic discussion on related topics. All papers related to theoretical developments and practical applications of logistics and maritime systems are welcome. We especially welcome application case studies from industries. Relevant topics include, but are not limited to:

• Port Planning and Design
• Maritime Policy Development and Analysis
• Economic Impact of International Maritime Policy
• Shipping and Ports Development
• Port Economics
• Port Operations and Operations Planning
• Empty Container Repositioning
• Port Simulation
• Port Automation
• Logistics Network Design
• Optimization and Metaheuristics
• Shipping & Transportation in Supply Chains
• Revenue Management
• Impact of Strategic Alliances
• Supply Chain Modeling and Management
• Air Transportation
• Rail Transportation
• Maritime Transportation
• Inter-modal Transportation
• Multi-modal Terminals and Transportation
• Green Logistics
• Safety in Port Operation
• Cargo and Container Tracking Systems
• Information Technology in Logistics
• Wireless Communications for Ports
• Positioning/Locating RTLS and GPS
• Business Processes Innovation for Logistics
• Unmanned Autonomous Moving Vehicles
• Autonomous Vessel Operations
• Automated Equipment in Logistics
• AI for Ports and Maritime Logistics
• Big Data Analytics in Maritime Systems
• IoT for Enhancing Port Operations
• Digital Twins for Maritime Logistics and Ports
• Port Process Analytics
• AI-based Logistics Optimization
• Carbon-neutral Supply Chains
• Safety in Logistics Services
• Supply Chain Network Optimization
• Advanced Planning & Scheduling
• Production/Distribution Planning
• Inventory Planning
• Vehicle Routing & Scheduling
• Reverse Logistics
• Warehouse Management

Important Dates

• Deadline Submission of Abstracts: April 23, 2024
• Deadline Notification of Acceptance: May 7, 2024
• Short and Full paper submission: May 30, 2024
• Deadline Author Registration Early Bird: May 30, 2024
• Final Deadline Author Registration: June 30, 2024

Submissions

• Extended abstracts: at least 4 pages long
• Short papers. 4 to 8 pages long
• Full papers: more than 8 pages long

Short and full papers will be published in the Springer series Lecture Notes and Computer Science (LNCS).

Registration Fees

The registration and submission tool will open in January/February 2024.

Conference Chairs

Leonard Heilig
Stefan Voß

ÖGOR Summer-School for PhD-candidates and Post-Docs

The Austrian Society for Operations Research (OeGOR) organizes for the third time a summer-school for PhD-candidates and Post-Docs.

Invited Speakers: Timo Gschwind (RPTU Kaiserslautern):
Introduction to Column-Generation Theory and Application

Maximilian Schiffer (TU München):
Combinatorial optimization augmented machine learning for contextual multi-stage problems

Date: 22.07.2024 – 26.07.2024

Place: University for Continuing Education (Donau Uni) Krems

Participation in the school is free of charge, if your institution or supervisor are members of ÖGOR or of an OR-Society in a neighboring country. However, lunch will be organized centrally, thus requiring a meal contribution of ca. € 60.- (nonrefundable) to be paid until 21.06.2024. All other food, travel and hotel arrangements must be organized and covered by the participants.

Registration: send an e-mail until May 24, 2024 to raimund.kovacevic@donau-uni.ac.at
Each invited speaker will give a two-day program. The participants are also invited to give a presentation of their work. Take the chance to create a bond with fellow students and with OeGOR!

22.7.-23.7. Timo Gschwind:
Introduction to Column-Generation Theory and Application
Column Generation (CG)-based methods are (among) the leading exact solution techniques
for many important combinatorial optimization problems including problems in routing,
scheduling, cutting and packing, and network design to name a few. CG itself is an iterative
procedure that can tackle Linear Programs (LPs) containing a huge number of variables. At
each iteration, it solves a restricted version of the LP containing only a subset of the variables
and one or several pricing problems to generate missing variables. When solving integer
problems, CG is embedded in an overall strategy (e.g., Branch-and-Bound) to guarantee
integer solutions, resulting in an integer CG approach (e.g., Branch-and-Price, B&P). However,
(integer) CG approaches are not out-of-the-box solution methods. Many important building
blocks are often problem specific and a textbook implementation of basic CG is typically not
competitive. This course begins with a practice-oriented introduction to CG and B&P. It then covers the
basic theory of (integer) CG and discusses more advanced techniques such as pricing
strategies, cutting, strategies to obtain integer solutions, stabilization, variable fixing, or CGbased
heuristics. Overall, the course aims at providing a balance between theoretical foundations and ready-to-apply knowledge for designing and implementing CG approaches.
The course also includes practical implementation sessions.

24.7.: Short presentations by the participants

25.7.-26.7. Maximilian Schiffer:
Combinatorial optimization augmented machine learning for contextual multi-stage problems
Combinatorial optimization augmented machine learning (COAML) is a novel field that
combines methods from machine learning and operations research to tackle contextual datadriven
problems that involve both uncertainty and combinatorics. These problems arise
frequently in industrial processes, where firms seek to leverage large and noisy data sets to
optimize their operations. COAML typically involves embedding combinatorial optimization
layers into neural networks and training them with decision-aware learning techniques.
In this summer school, we will learn i) how such algorithmic pipelines work and ii) how they
can be designed depending on the planning problem faced. We will then iii) focus on the
difference between pipelines that are based on structured learning and pipelines that are
based on reinforcement learning. Finally, we will focus iv) on a hands-on coding exercise to
build a respective algorithmic pipeline on our own to reflect the theory studied.
The participants are invited to attend the course with their own laptops, having
super-user access on their computers for installing the required resources, and
with wifi-internet access (Eduroam or 4G/5G).

Treffen der Wissenschaftlichen Kommission Operations Research

Das Treffen der Wissenschaftlichen Kommission Operations Research (WK OR) des Verband der Hochschullehrerinnen und Hochschullehrer für Betriebswirtschaft e.V. (VHB)  findet dieses Jahr am Mittwoch den 3. Juli und Donnerstag den 4. Juli an der RWTH Aachen statt. Das Programm wird so geplant, dass eine Anreise am Mittwoch und eine Abreise am Donnerstag möglich ist (eine Übernachtung). Vortragsangebote (Titel & kurzer Abstract) bitte bis zum 15. Mai 2024 an mueller@analytics.rwth-aachen.de.

PhD School of Stochastic Programming

The Department of Mathematical Sciences at the University of Copenhagen is organizing the Copenhagen PhD School of Stochastic Programming, which will take place on June 25th – 28th in Copenhagen, Denmark.

The PhD school provides a one-week introduction to Stochastic Programming and is taught by leading experts on the subject. Participants have the possibility of earning 5 ECTS upon successful completion of the course. 

Confirmed lecturers:

• Francesca Maggioni (University of Bergamo)
• Asgeir Tomasgard (NTNU, Trondheim)
• Michal Kaut (Sintef, Trondheim)
• Alois Pichler (TU Chemnitz)

For registration and more information visit https://www.math.ku.dk/english/calendar/events/cssp_2/ or contact the organizers:

• Giovanni Pantuso: gp@math.ku.dk
• Trine Boomsma: trine@math.ku.dk