Journal
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
Volume 117, Issue 2, Pages 286-301Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ijpe.2008.11.005
Keywords
Remanufacturing; Optimization with simulation; Genetic algorithm; Fractional factorial design
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Funding
- US NSF [0423465]
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [0423465] Funding Source: National Science Foundation
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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 Published by Elsevier B.V.
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