Using Machine Learning Algorithms For Forecasting Rate of Return Product In Reverse Logistics Process
Many textile products are in reverse logistics network due to mistakes made in activities such as sales forecasting, inventory planning and distribution. In order to reduce resource usage and cost at first step, in addition to producing the correct quantity, these products must be sent to branches,...
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| Format: | Article |
| Language: | English |
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Istanbul University
2019-06-01
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| Series: | Alphanumeric Journal |
| Subjects: | |
| Online Access: |
http://alphanumericjournal.com/media/Issue/volume-7-issue-1-2019/using-machine-learning-algorithms-for-forecasting-rate-of-re_zUyVJMl.pdf
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