Pull policies are considered to be among the most efficient control strategy. Setting the correct parameters to maximise their efficiency is, however, not a trivial task. Simulation–optimisation techniques have received particular attention as a means to solve this problem. Nevertheless, they require the iterative solution of an optimisation model to generate the parameter values and a discrete event simulator to evaluate the resulting system performance. In the framework of simulation-optimisation, this paper proposes a combined solution of the optimisation and simulation problems for the optimal operation of pull control systems under several control strategies. Numerical experiments were performed to evaluate the performance of the proposed technique.

Integrated simulation-optimisation of pull control systems

PEDRIELLI, GIULIA;ALFIERI, ARIANNA;MATTA, ANDREA
2015

Abstract

Pull policies are considered to be among the most efficient control strategy. Setting the correct parameters to maximise their efficiency is, however, not a trivial task. Simulation–optimisation techniques have received particular attention as a means to solve this problem. Nevertheless, they require the iterative solution of an optimisation model to generate the parameter values and a discrete event simulator to evaluate the resulting system performance. In the framework of simulation-optimisation, this paper proposes a combined solution of the optimisation and simulation problems for the optimal operation of pull control systems under several control strategies. Numerical experiments were performed to evaluate the performance of the proposed technique.
mathematical programming; optimization; production control; pull systems; simulation; Industrial and Manufacturing Engineering; Management Science and Operations Research; Strategy and Management1409 Tourism, Leisure and Hospitality Management
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/983556
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