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Automatically Generating Flow Shop Simulation Models from Sap Data
| Content Provider | Semantic Scholar |
|---|---|
| Author | Röder, Martin Frazier, Peter I. Szechtman, Roberto Zhou, Eric Huschka, Todd R. Chick, S. E. |
| Copyright Year | 2016 |
| Abstract | Automatic model generation, the consequential reduction of problem solving cycles and the need for a higher degree of data integration have long been characterized as significant challenges in the field of simulation of manufacturing systems. Especially operationally used manufacturing simulation models require a high degree of modeling detail and thus depend on a significant amount of input data. In many cases, the time and effort required to manually build such a detailed model and keeping it up-to-date are prohibitive. This paper describes a practical case in which entire simulation models of a complex and large scale automotive flow shop production were automatically created from an automotive company’s SAP and MES systems in order to support operational planning purposes and reduce operational logistical risks, such as production disruptions caused by stock-out situations at the manufacturing line. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.informs-sim.org/wsc16papers/335.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
