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Multi-objective optimization of production control mechanisms for multi-stage serial manufacturing-inventory systems

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Abstract

Single-model multi-stage serial production/inventory systems with stochastic order arrival and service times are examined. The manufacturing systems are controlled by Kanban, Base Stock, CONWIP, and CONWIP/Kanban Hybrid mechanisms. Discrete-event simulation models of the manufacturing systems are developed. Four simulation cases are examined where optimal or near-optimal parameters for the control policies are obtained by integrating the simulation models with multi-objective evolutionary algorithm in order to minimize mean WIP and mean number of backordered demands simultaneously. The non-dominated sets are compared in terms of several metrics for comparing Pareto fronts.

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Authors and Affiliations

  1. Department of Production and Management Engineering, Democritus University of Thrace, V. Sofias 12, 67100, Xanthi, Greece

    A. S. Xanthopoulos & D. E. Koulouriotis

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  1. A. S. Xanthopoulos
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  2. D. E. Koulouriotis
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Correspondence to A. S. Xanthopoulos.

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Xanthopoulos, A.S., Koulouriotis, D.E. Multi-objective optimization of production control mechanisms for multi-stage serial manufacturing-inventory systems. Int J Adv Manuf Technol 74, 1507–1519 (2014). https://doi.org/10.1007/s00170-014-6052-8

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  • DOI: https://doi.org/10.1007/s00170-014-6052-8

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