Optimization Customized Token-Based Production Control Systems Using Cross-Entropy

Customized Token-Based production control Systems constitutes one of the most recent approaches to production control, having shown their effectiveness for different manufacturing environments. Performance optimization of a Customized Token-Based System can be formulated as a multicriteria combinatorial optimization problem, which can be addressed by means of metaheuristics. Among these, the cross-entropy method (CE) has confirmed to be useful for a great diversity of problems, including the NP-hard combinatorial optimization problems. However, its applicability for multicriteria problems has not still been explored. In this paper we tackle the multicriteria optimization of a customized token-based production control systems using the CE method, and test its suitability for real-life environments in a simulation model extracted from a component automobile factory in Spain.