Abstract
In SCM (supply chain management), planning and operation includes the mutually related partial problems. These problems should be dealt with integrated manner on the whole aspect. The core partial problems in the SCM are production planning and distribution planning. As these problems are mutually related, they should be dealt with simultaneously in an integrated manner. This study develops a genetic algorithm that can integrate the production planning and distribution planning in the SCM.
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© 2007 Springer-Verlag Berlin Heidelberg
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Park, B.J., Choi, H.R., Kang, M.H. (2007). Integration of Production and Distribution Planning Using a Genetic Algorithm in Supply Chain Management. In: Melin, P., Castillo, O., RamÃrez, E.G., Kacprzyk, J., Pedrycz, W. (eds) Analysis and Design of Intelligent Systems using Soft Computing Techniques. Advances in Soft Computing, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72432-2_42
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DOI: https://doi.org/10.1007/978-3-540-72432-2_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72431-5
Online ISBN: 978-3-540-72432-2
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