A hybrid simulation optimization method for production planning of dedicated remanufacturing

Authors

Jianzhi Li, The University of Texas Rio Grande Valley
Miguel González, The University of Texas Rio Grande Valley
Yun Zhu

Document Type

Article

Publication Date

2-2009

Abstract

This paper presents a hybrid cell evaluated genetic algorithm (CEGA) for optimization of the dedicated remanufacturing system with simulation. The paper first summarizes the special characteristics and problems of the dedicated remanufacturing. The paper then proposes a simulation model with a prioritized stochastic batch arrival mechanism, considering factors that affect the total profit. Based on the simulation model, the CEGA algorithm is developed to optimize the production planning and control policies for dedicated remanufacturing. A case study is provided based on the remanufacturing facility located at Austin, USA

Comments

Original published version available at https://doi.org/10.1016/j.ijpe.2008.11.005

Recommended Citation

Li, Jianzhi, Miguel González, and Yun Zhu. "A hybrid simulation optimization method for production planning of dedicated remanufacturing." International Journal of Production Economics 117, no. 2 (2009): 286-301. https://doi.org/10.1016/j.ijpe.2008.11.005

Publication Title

International Journal of Production Economics

DOI

10.1016/j.ijpe.2008.11.005