Overview

LogDynamics Summer School

LOGISS 2016

Control Interfaces in Logistics: Data and Algorithms

Bremen, Germany, February 29 - March 4 2016

 
The complexity of logistic networks and systems is growing in today’s globalized world. Individual customer requirements cause a significant increase in the number of product variants and services as well as shorter product life cycles. This implies new technical and economic challenges for logistic systems and processes. In order to meet these challenges, innovative control methods are required to flexibly adapt to continuously changing conditions. The ability to incorporate and utilize the dynamic aspect is essential for successful manufacturing and transport logistics. Moreover, it guarantees strategic advantages in terms of competitiveness on the world market, but also enables green and sustainable logistic solutions.
 
The goal of this course is to introduce students to methods and tools to develop distributed control algorithms and interfaces. To this end, the students will learn how to use and combine logistic data (e.g., tour plans, bills of material, sensor information, demand forecasts, etc.). The idea is not only to provide students with the ability to use tools to monitor and control the flows of material, energy, people, and information in a variety of dynamic logistic environments from global networks via urban areas to the shop floor. Instead, the students will study information and algorithmic properties, which allow to increase efficiency, reduce emissions, or create robust processes on free scales.
 
The course is designed for PhD students or advanced Master students in Logistics, Computer Science, Industrial Engineering, or related fields. It is assumed that the students have some basic knowledge in modeling, programming, and statistics.