The Impact of Automation in Painting Furniture Parts ()
ABSTRACT
Technology and Woodwork
industries have been going through a phase of perfection over
a period of hundred years, up until today, the wood work traditions are still
exist and improving with the help of modern technology. Looking at history and
current studies with regards to production of furniture, many factories are
producing millions of chairs for entire continents and to maintain the market
lead position requires a lot of human dedication and intelligent investments in
technology. Using automation in painting means to automatically control the
process including industrial machines like robots, conveyors and others which
save time, money and also reduce human efforts. Most automation companies are specialized in
industrial automation, industrial robots, communications, electronics, and
software for developing complex projects to automate desirable task by
integrating robots. This study is purposefully conducted to shed more light on
the benefits or impacts of automation in painting furniture parts. One of the
benefits that most of companies gain from automating the painting process with
robots is the productivity growth. The recruitment process for specialized
personnel in the painting processes has also been greatly simplified due to the
fact that the robots have taken over the difficult’ tasks and protection from
areas with high risk inhalation of harmful substances is assured. In this
research, Automation is shown to be efficient and effective in the painting
system by reviewing different studies. Automated dyeing processes in factories
have made progress due to the successful results achieved by automated painting
robots. In that regard, the impact of automation in
painting furniture parts is evident in the production of fitments that are in
almost every home through the solutions offered by automation to the consumer.
Share and Cite:
Karusine, A. , Cui, C. , Larsey, N. and Tanguy-Nolain, K. (2022) The Impact of Automation in Painting Furniture Parts.
Open Journal of Applied Sciences,
12, 1995-2003. doi:
10.4236/ojapps.2022.1212139.
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