Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Classification of cyber-physical production systems applications:
  Proposition of an analysis framework   Cyber-physical systems have encountered a huge success in the past decade in
several scientific communities, and specifically in production topics. The main
attraction of the concept relies in the fact that it encompasses many
scientific topics that were distinct before. The downside is the lack of
readability of the current developments about cyber-physical production systems
(CPPS). Indeed, the large scientific area of CPPS makes it difficult to
identify clearly and rapidly, in the various applications that were made of
CPPS, what are the choices, best practices and methodology that are suggested
and that could be used for a new application. This work intends to introduce an
analysis framework able to classify those developments. An extensive study of
literature enabled to extract the major criteria that are to be used in the
framework, namely: Development Extent; Research Axis; Instrumenting;
Communication standards; Intelligence deposit; Cognition level; Human factor.
Several recent examples of CPPS developments in literature are used to
illustrate the use of the framework and brief conclusions are drawn from the
comparative analysis of those examples.

13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
26
The categories of this paper are: bayes-an
24
The categories of this paper are: dg-ga