Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Stock-out Prediction in Multi-echelon Networks   In multi-echelon inventory systems the performance of a given node is
affected by events that occur at many other nodes and in many other time
periods. For example, a supply disruption upstream will have an effect on
downstream, customer-facing nodes several periods later as the disruption
"cascades" through the system. There is very little research on stock-out
prediction in single-echelon systems and (to the best of our knowledge) none on
multi-echelon systems. However, in real the world, it is clear that there is
significant interest in techniques for this sort of stock-out prediction.
Therefore, our research aims to fill this gap by using deep neural networks
(DNN) to predict stock-outs in multi-echelon supply chains.

37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
19
The categories of this paper are: eess
28
The categories of this paper are: alg-geom
7
The categories of this paper are: hep-th
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
18
The categories of this paper are: econ