Abstract
Considering different number of recycling product in the reverse logistics remanufacturing process, by using interval described the uncertain recycling number, a multi-objective remanufacturing reverse logistics LRP integer programming model is established, which based on the two-stage decomposition algorithm of operational research. The design of numerical example results verify the effectiveness of the model and method.
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Guo, H., Dai, W. (2011). Research on Remanufacturing Reverse Logistics Network Optimization under Uncertain Recycling Number. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23753-9_111
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DOI: https://doi.org/10.1007/978-3-642-23753-9_111
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23752-2
Online ISBN: 978-3-642-23753-9
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