Otto-von-Guericke-Universität Magdeburg

 
 
 
 
 
 
 
 

Business Analytics

Due to increasing population in metropolitan areas, intelligent planning and control of urban mobility and freight transportation is necessary. Traditionally, research in the area of city logistics has investigated the trade-off between efficiency and reliability of urban deliveries. Extending well-known city logistics approaches, the Management Science Group focuses on the preparation and aggregation of large databases for dynamic and stochastic methods of transportation planning and control, e.g., optimal path-finding and vehicle routing. We follow a holistic approach stretching from data collection via data aggregation with data mining to extended approaches of applied operations research. We are also interested in better planning and control of mobility and transportation services such as car and bike sharing services.

Contact: Prof. Dr. Jan Fabian Ehmke, Chair of Management Science

Due to increasing urbanization, routing of city logistics service providers’ fleets requires the consideration of congestion in optimization approaches. We consider large amounts of telematics based traffic data in extended, time-dependent optimization approaches to ensure cost-efficient planning of urban pickup and delivery routes.

Contact: Prof. Dr. Jan Fabian Ehmke, Chair of Management Science

Shared mobility systems such as car sharing and bike sharing systems have become popular in recent years. The Management Science Group analyzes operational data from shared mobility systems and develops optimization approaches that help ensuring the service quality of shared mobility systems.

Contact: Prof. Dr. Jan Fabian Ehmke, Chair of Management Science

There is an increasing awareness of environmental issues caused by freight transportation, especially in urban areas. Creating environmental-friendly routes is challenging, though, since the computation of emissions requires that complex non-linear fuel consumption functions are modeled and considered in an efficient and effective way. We investigate algorithms that can create environmental paths and routes taking into account millions of empirical travel time data sets. Thus, we consider the variability in urban travel times and their impact on fuel consumption and emissions.

Contact: Prof. Dr. Jan Fabian Ehmke, Chair of Management Science

In the environment of stochastic travel times and increasing customer requirements, it is quite challenging to determine the optimal trade-off between efficiency and customer service quality for logistics service providers. We investigate the effectiveness of simple and complex mathematical methods that support the creation of reliable pickup and delivery routes.

Contact: Prof. Dr. Jan Fabian Ehmke, Chair of Management Science

In the age of digitization, customers expect the seamingless booking and realization of services such as online grocery delivery services. However, to ensure a viable business, it is important that service providers are able to find a reasonable compromise between cost-efficient and customer friendly services. Considering the example of e-fulfillment, we investigate mechanism that help service providers to offer good services while avoiding high service costs. For instance, we analyze how to control the impact of customer time windows in the delivery of groceries.

More details on the research projects are available here.

Information on prior activities of the former Management Science Group headed by Prof. Dr. Gerhard Wäscher until September 2017 can be found here.

Letzte Änderung: 25.01.2018 - Contact Person: Webmaster