Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/27199
Authors: 
Helber, Stefan
Schimmelpfeng, Katja
Stolletz, Raik
Lagershausen, Svenja
Year of Publication: 
2008
Series/Report no.: 
Discussion papers // School of Economics and Management of the Hanover Leibniz University 389
Abstract: 
This paper presents a linear programming approach to analyze and optimize flow lines with limited buffer capacities and stochastic processing times. The basic idea is to solve a huge but simple linear program that models an entire simulation run of a multi-stage production process in discrete time, to determine a production rate estimate. As our methodology is purely numerical, it offers the full modeling flexibility of stochastic simulation with respect to the probability distribution of processing times. However, unlike discrete-event simulation models, it also offers the optimization power of linear programming and hence allows to solve buffer allocation problems. We show under which conditions our method works well by comparing its results to exact values for two-machine models and approximate simulation results for longer lines.
Document Type: 
Working Paper

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