Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Workload Prediction of Business Processes -- An Approach Based on
  Process Mining and Recurrent Neural Networks   Recent advances in the interconnectedness and digitization of industrial
machines, known as Industry 4.0, pave the way for new analytical techniques.
Indeed, the availability and the richness of production-related data enables
new data-driven methods. In this paper, we propose a process mining approach
augmented with artificial intelligence that (1) reconstructs the historical
workload of a company and (2) predicts the workload using neural networks. Our
method relies on logs, representing the history of business processes related
to manufacturing. These logs are used to quantify the supply and demand and are
fed into a recurrent neural network model to predict customer orders. The
corresponding activities to fulfill these orders are then sampled from history
with a replay mechanism, based on criteria such as trace frequency and
activities similarity. An evaluation and illustration of the method is
performed on the administrative processes of Heraeus Materials SA. The workload
prediction on a one-year test set achieves an MAPE score of 19% for a one-week
forecast. The case study suggests a reasonable accuracy and confirms that a
good understanding of the historical workload combined to articulated
predictions are of great help for supporting management decisions and can
decrease costs with better resources planning on a medium-term level.

15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con