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Simulation Applications in the Automotive Industry

  • Edward J. Williams
  • Onur M. Ülgen

Abstract

Simulation analyses subdivide themselves conveniently into two major categories: discrete-event simulation and continuous simulation (Zeigler, Praehofer, and Kim 2000). Continuous simulation studies processes amenable to analysis using differential and difference equations, such as stability of ecological systems, chemical synthesis, oil refining, and aerodynamic design. Discrete-event simulation studies processes in which many of the most important variables are integer values, and hence not amenable to examination by continuous equations. Such processes almost invariably involve queuing, and the variables of high interest include current and maximum queue lengths, number of items in inventory, and number of items processed by the system. Many of the integer values are binary; for example, a machine is in working order or down, a worker is present or absent, a freight elevator is occupied or vacant. Processes with these characteristics are common in manufacturing, warehousing, transport, health care, retailing, and service industries.

Keywords

Supply Chain Automotive Industry Night Shift Winter Simulation Ford Motor Company 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.College of BusinessUniversity of Michigan - DearbornDearbornUSA

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