Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Large-Scale Inventory Optimization: A Recurrent-Neural-Networks-Inspired
  Simulation Approach   Many large-scale production networks include thousands types of final
products and tens to hundreds thousands types of raw materials and intermediate
products. These networks face complicated inventory management decisions, which
are often too complicated for inventory models and too large for simulation
models. In this paper, by combing efficient computational tools of recurrent
neural networks (RNN) and the structural information of production networks, we
propose a RNN inspired simulation approach that may be thousands times faster
than existing simulation approach and is capable of solving large-scale
inventory optimization problems in a reasonable amount of time.

6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
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
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas