Quantifying production complexity in the assembly of industrial robots: Does everyday complexity affect the quality of your product?
Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Program
Production engineering (MPPEN), MSc
Publicerad
2023
Författare
Maslekar, Arun
Le, Dat Trong Thanh
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
With the advancements of Industry 4.0 being rapidly achieved, Industry 5.0 aims to
create a sustainable and socially responsible industrial practice. The framework of
Industry 5.0 centrally aims to integrate the human workforce with advanced digital
technologies thereby striving for inclusive growth and societal acceptance.
Understanding the current state of a production system helps relevant stakeholders
to focus on key areas to improve and achieve a smooth integration between humans
and digital tools. Complexity affects daily production activities in numerous ways.
Understanding the causes of complexity helps in tackling the perceived problems of
the workforce and finding deviations in production activities.
This thesis project explores the ways to define and quantify complexity in a produc tion line using an objective and subjective method. The results show that out of the
6 assigned assembly lines for the study, 4 lines were concluded to be complex for the
operators and from a general overview. The possibilities to manage complexity have
also been discussed for application in a similar research environment in the future.
Beskrivning
Ämne/nyckelord
Complexity, Quantify, Management, Production, Assembly, Manual, Quality