Buffer allocation , stochastic ow lines , sampling approaches , MIP formulations , optimization , Design and reconfiguration of manufacturing systems , Modeling , simulation , control and monitoring of manufacturing processes
Abstract:
Several sampling approaches have been proposed in literature for the analysis of
ow
lines with stochastic processing times and finite buffer capacities. The system's performance can
be evaluated by a linear programming formulation if the number of buffers between the stations
is given. This work presents several mixed integer programming approaches to optimize the
buffer allocation in
ow lines with stochastic processing times. Sampling is used to represent
the random processing times. The objective is to minimize the overall number of buffer spaces
obtaining at least a given goal production rate. Numerical experiments are carried out to
evaluate different sampling approaches and model formulations. These approaches are compared
regarding the robustness of the allocation decision with respect to the sample sizes.
Additional information:
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Dieser Eintrag ist Teil der Universitätsbibliographie.
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