Predicting the performance of Flexible Manufacturing Systems – A multiple regression approach

N. Venkatachalapathi, S. Sudhakara Babu, A. Ramakrishna Rao

Abstract

This paper attempts to establish quantitative relationship between output indicators like Total Flow time, Resource utilization, AGV utilization and input variables like part arrival rate, uniform processing times at Machining centers and AGVs and decision rules such as Large remaining capacity, small number busy, cyclical and random rules in a dynamic dedicated FMS. Dummy data are generated and the system is simulated to produce the output indicator for a given set of input variables and decision rules. The simulation results are employed to develop Multiple Regression equations for each output indicator. Dummy dependent variables are used in the Regression. The results indicate a significant relationship between the variables and the output indicators.

Keywords

Simulation; FMS; production planning and control; Regression analysis; AGV

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IMEKO-TC14-2007-59.pdf

DOI

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IMEKO TC

TC14 - Measurement of Geometrical Quantities

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