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Decision table support for the controls in simulation of manufacturing processes

: Becker, B.-D.; Dangelmaier, W.

Tucci, S. ; Society for Computer Simulation International -SCS-:
Simulation applied to manufacturing energy and environmental studies and electronics and computer engineering. Proceedings of the 1989 European Simulation Multiconference
Ghent, 1989
ISBN: 0-911801-55-3
European Simulation Multiconference (ESM) <1989, Rome>
Fraunhofer IPA ()
control system; Decision table; Entscheidungstabelle; Fertigung; Fertigungsprozeß; information flow; Informationsfluß; manufacturing process; material flow; Materialfluss; simulation

Manufacturing processes are determinated by certain demands according to economical measures. For satisfying these demands by a minimum of costs a correct structure, dimension and control of the manufacturing process is necessary. The simulation of manufacturing process is the most suitable method to solve these problems. It is highly important to offer to the planner simple tools to create and test controls in a simulation environment. This presentation will define the concept of "controlling" only as it applies to the simulation of the manufacturing process. Particular attention will be paid to the decision table technique of formulating control. This technique is employed for the first time at the IPA by the author. Compared with the formulation of controls in a common language the development time has been increased a lot. All these enhancements have been made without any sacrifice of flexibility and accuracy. The basic idea of the decision table concept is to offer the user a few conditions and actions which are set up in a table. In the top part of the table concept the conditions are formulated as questions. They can be answered with YES or NO. For every answer combination an action will be declared in the bottom part of the table. Thus the simulation control is able to detect a certain outcome for every possible state of the simulation system. In the presentation several examples of real life simulation problems are shown. Also the technique of the communication of controls by decision tables will be discussed.