Dagstuhl Seminar 10102
Grand Challenges for Discrete Event Logistics Systems
( Mar 07 – Mar 12, 2010 )
- Peter Lendermann (D-SIMLAB - Singapore, SG)
- Leon F. McGinnis (Georgia Institute of Technology, US)
- Lars Mönch (FernUniversität in Hagen, DE)
- Arnd Schirrmann (EADS - Hamburg, DE)
- Simone Schilke (for administrative matters)
- Dagstuhl Manifesto : Grand Challenges for Discrete Event Logistics Systems : article : pp. 663-668 - Lendermann, Peter; MacGinnis, Leon F.; Mönch, Lars; Schirrman, Arnd - Berlin : Springer, 2010 - (Informatik Spektrum : 33. 2010, 6 : pp. 663-668).
- Special Issue on Grand Challenges for Discrete Event Logistics Systems : pp. 555-637 - Mönch, Lars; Lendermann, Peter; MacGinnis, Leon F.; Schirrman, Arnd - Amsterdam : Elsevier, 2011 - (Computers in Industry ; 62. 2011, 6).
Discrete Event Logistics Systems (DELS) are networks of resources through which material flows. Each node of the network corresponds to some resource (or set of resources) by which the materials are either converted in some way (refined, shaped, assembled, disassembled, etc.), moved (transported within one facility or between facilities), or simply held for some period of time (as work-in-process or stored in a warehouse). Material handling and transportation are key components of DELS. DELS are “discrete” in part because they move material in discrete quantities, and in part because their behavior can be characterized effectively in terms of events happening at discrete points of time, i.e., the start or end of some conversion, transport, or storage process. A DEL system may take the form of a single warehouse, a portion of a factory, a complete factory, or a global supply network.
DELS have been the subject of a large body of analytic research. A huge variety of specific models exists that generally require application by model and/or solver experts to answer narrowly-defined logistics questions about inventory, sourcing, scheduling, routing, etc. It has proven difficult to integrate these models in any comprehensive way into information systems like Enterprise Resource Planning (ERP) systems, Advanced Planning and Scheduling (APS) systems, Manufacturing Execution Systems (MES) or Supply Chain Management (SCM)systems, because of the lack of conceptual alignment between the models produced by researchers and the information systems deployed in practice with which they should be integrated.
This difficulty is magnified enormously by four factors: (1) the scale and scope of global supply networks, such as those developed to support airplane, automobile or telecommunications systems manufacturing, and service, which may involve literally thousands of individual enterprises; (2) the dynamic behavior of these networks, which are constantly changing as firms enter and leave, products change, markets change, etc.; (3) the broad range of information and communication systems deployed; and (4) the very high density of decisions, partially enabled by software systems but in many of not most cases to be made by humans, often near real-time. Today, although the literature on individual, narrow problems is vast, there is little base of theory or methodology for addressing decision problems that have scope, scale, and complexity of all four factors.
This difficulty is magnified enormously by four factors: (1) the scale and scope of global supply networks, such as those developed to support airplane, automobile or telecommunications systems manufacturing, and service systems, which may involve literally thousands of individual enterprises; (2) the dynamics of these networks, which are constantly changing as firms enter and leave, products change, markets change, etc.; (3) the broad range of information and communication systems deployed; and (4) the very high density of real-time decision making. Today, there is little base of theory or methodology for addressing decision problems of this scope, scale, and complexity.
It seems clear that methods from computer science, industrial engineering, information systems, and operations research must be used together to address critical issues in architecting, configuring, planning, managing, and controlling DELS. In the past, researchers in industrial engineering and operations research have quite actively investigated DELS problems, but there has been less direct engagement from computer science and information systems. However, there is an ongoing trend also in computer science towards more business-related application domains, and as a consequence, the main slogan of the 'Gesellschaft für Informatik (GI)', the German Chapter of the ACM, 2007 annual meeting was 'Computer Science meets Logistics'.
Recognizing this, the authors of this report sought to bring together a group of researchers from Europe, North America, and Asia spanning the spectrum of industrial engineering, operations research, and computer science, to consider the following question: What are the grand challenges (for their combined research communities) in supporting decision making in the DELS environment. These efforts were generously supported by the Leibniz Center for Informatics, resulting in a Dagstuhl seminar held March 7-12, 2010, and attended by 28 participants representing universities, research centers, and companies in Europe, North America, and Asia.
- Christian Almeder (Universität Wien, AT)
- Stéphane Dauzère-Pérès (École des Mines de Saint-Etienne, FR) [dblp]
- Jörg Dickersbach (Wassermann AG - München, DE)
- Hans Ehm (Infineon Technologies - München, DE) [dblp]
- Andreas Fink (Helmut-Schmidt-Universität - Hamburg, DE)
- John Fowler (Arizona State University - Tempe, US) [dblp]
- Martin Grunow (Technical University of Denmark - Lyngby, DK)
- Cathal Heavey (University of Limerick, IE) [dblp]
- Herbert Kopfer (Universität Bremen, DE)
- Peter Lendermann (D-SIMLAB - Singapore, SG) [dblp]
- Scott J. Mason (University of Arkansas - Fayetteville, US) [dblp]
- Dirk Christian Mattfeld (TU Braunschweig, DE) [dblp]
- Leon F. McGinnis (Georgia Institute of Technology, US) [dblp]
- Russell D. Meller (University of Arkansas - Fayetteville, US)
- Lars Mönch (FernUniversität in Hagen, DE) [dblp]
- Benoit Montreuil (Université Laval - Québec, CA)
- Stefan Nickel (KIT - Karlsruher Institut für Technologie, DE)
- Volker Nissen (TU Ilmenau, DE)
- Daniel Noack (TU Dresden, DE)
- Heino Ostermeier (Airbus - Hamburg, DE)
- Thomas Ponsignon (Infineon Technologies - München, DE) [dblp]
- Oliver Rose (TU Dresden, DE) [dblp]
- Franz Rothlauf (Universität Mainz, DE) [dblp]
- Arnd Schirrmann (EADS - Hamburg, DE)
- Sven Spieckermann (SimPlan AG - Maintal, DE) [dblp]
- Ralf Sprenger (FernUniversität in Hagen, DE) [dblp]
- Paul Valckenaers (KU Leuven, BE)
- Horst Zisgen (IBM Deutschland GmbH - Mainz, DE)
- Information Systems
- Decision Support
- Logistics Systems
- Design of Decision Support Systems