Although reverse logistics has been disregarded for many years, pressures from both environmental awareness and business sustainability have risen. Reverse logistical activities include return, repair and recycle products. Traditionally, since the information transparency of the entire supply chain is restricted, business is difficult to predict, and prepare for these reverse activities. This study presents an agent-based framework to increase the degree of information transparency. The cooperation between sensor and disposal agents helps predict reverse activities, avoid return, speed up repair and prepare for recycling behaviors. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Yang, H. L., & Wang, C. S. (2007). Integrated framework for reverse logistics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4570 LNAI, pp. 501–510). Springer Verlag. https://doi.org/10.1007/978-3-540-73325-6_50
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