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Department of Planning and Control of Production and Logistics Systems (PSPS) at the University of Bremen

IPS - Intelligent Production and Logistics Systems

Prof. Dr.-Ing. Michael Freitag

The Division Intelligent Production and Logistics Systems

The rapid development of Information and Communication Technologies, such as Radio Frequency Identification Devices (RFID), and new possibilities for robot-supported automation of logistic processes, are strong forces for change in production and logistics systems. Intensive global competition as well as changing and diverse customer requirements boost the necessity for using these technologies, while at the same time develop adaptive, flexible and dynamic production and logistics systems. However, these systems can only unfold their full capacity, if logistic planning and control are more decentralized and dynamic as well.
Against this background, the research domain Intelligent Production and Logistics Systems (IPS) sees as its major challenge
  • the research, development and application of innovative information and communication technologies for production and logistics
  • the automation of logistic processes with the help of these innovative technologies
  • the development of efficient practice-suited decentralized dynamic planning and control procedures for production and logistics.
Findings from joint research with the department of Planning and Control of Production and Logistics Systems (PSPS) at the University of Bremen are realized with prominent production and logistics enterprises. This also happens as part of the Bremen Research Cluster for Dynamics in Logistics LogDynamics, and here particularily with the Demonstration and Application Center for Mobile Technologies in Dynamic Logistics Structures LogDynamics Lab.
The research results are integrated in the acadamic education in the department of “Planning and Control of Production Systems“ at the University of Bremen. IPS is also strongly involved in the International Graduate School „Dynamics in Logistics“, whose thematic emphasis lies with the control of dynamic aspects in production and transportation logistics. The department of Planning and Control Methods for Logistics Systems is concerned with topics such as e-logistics, dynamics as well as planning and control in particular under real awareness aspects. The emphasis here is placed on the study of the paradigm of Autonomous Cooperating Logistics Processes in the context of the CRC 637. The activities cover the study of new application scenarios for classical methods concerning the planning and control, problem definitions for maintenance and repair processes in nets, facets of dynamics in logistic systems and tools in the area of modelling and design of organization and information systems for logistic nets.
The division Intelligent Production and Logistics Systems consists of the three departments
  • System Design and Planning
  • Data Analytics and Process Optimization
  • Robotics and Automation
The group “System Design and Planning” conducts basic and applied research in the field of production and logistics networks, which can be understood as material flow systems. The field of research comprises the analysis, simulation and optimization of such systems, from supply chains to single production sites. Emphasis is placed on the development of methods for online planning and autonomous control in production and logistics systems.
The group “Data Analytics and Process Optimization” deals with data analysis by means of artificial intelligence, e.g. Deep Machine Learning, in manufacturing, assembly, logistics and maintenance. Thereby, processes are analyzed, simulated and optimized using Industry 4.0 technologies. Major activities are the development of assistance systems, process management, condition monitoring, optical quality inspection, and energy management.
The group “Robotics and Automation” conceives and develops intelligent and flexible automation solutions for production and logistic processes. This includes the development of robotic systems for cargo handling, highly flexible material handling systems as well as technical assistance systems based on artificial intelligence methods. The emphasis is on the development of adaptive systems and the design of suitable human machine interfaces in order to enable an efficient and economic process automation.