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Learning outcomes
After the successful completion of this course, the students will
- have acquired an overview of components, designs, and operating modes of intralogistic and interplant logistics systems,
- be familiar with the basic modeling, analysis, and planning approaches of mathematical programming, discrete event simulation, and queueing theory,
- be able to apply these to facility location and layout planning problems as well as to the design of production and material flow systems, and
- be prepared to design real-world systems in inbound, manufacturing, and outbound logistics, following the model-based design approach.
Contents
Chapter 1: Logistics systems and model-based design
1.1 Elements of logistics management
1.2 Intralogistic systems
1.3 Intraplant logistics systems
1.4 Model-based design of logistics systems
Chapter 2: Facility location and layout planning
2.1 Facility location in the plane
2.2 Facility location in distribution networks
2.3 Hub-location problems
2.4 Layout planning
Chapter 3: Design of production systems
3.1 Design for job-shop manufacturing
3.2 Design for line manufacturing
3.3 Design for cellular manufacturing
Chapter 4: Design of material flow systems
4.1 Design of conveying systems
4.2 Warehouse design
Literature
- Arnold D, Furmans K (2009) Materialfluss in Logistiksystemen. Springer, Berlin
- Arnold D, Isermann H, Kuhn A, Tempelmeier H (2008) Handbuch Logistik. Springer, Berlin
- Askin RG, Standridge, CR (1993) Modeling and Analysis of Manufacturing Systems. John Wiley, New York
- Domschke W, Drexl A (1996) Logistik: Standorte. Oldenbourg, München
- Großeschallau W (1984) Materialflußrechnung: Modelle und Verfahren zur Analyse und Berechnung von Materialflußsystemen. Springer, Berlin
- Küpper H-U, Helber S (2004) Ablauforganisation in Produktion und Logistik. Schäffer-Poeschel, Stuttgart
- Pfohl H-C (2009) Logistik-Systeme: Betriebswirtschaftliche Grundlagen. Springer, Berlin
- ten Hompel M, Schmidt Th, Nagel L (2007): Materialflusssysteme: Förder- und Lagertechnik. Springer, Berlin
GAMS models
The following table contains models and example data for various planning problems and solution methods that are discussed in the lecture. The model and example files contain source code of the algebraic modeling language GAMS, which can be executed with the GAMS system. The GAMS system includes a large number of very powerful solvers for various types of mathematical programs that calculate optimal or locally optimal solutions.
By modifying the example files, new examples can easily be generated for scenario analyses or for use in exam preparation. You can download the software free of charge from the Internet pages of GAMS Development Corp. To install the software, you need a demo license, which you can also request free of charge using the form available there. The license will be sent to you immediately by e-mail and must be integrated during the installation process as described in the e-mail. You can then edit and solve the GAMS models using either the GAMS IDE, a simple text editor, or GAMS Studio, a development environment. The extensive documentation is available in both environments under "Help".
* A commercial GAMS license is required to solve the example