Building a new production line: Problems, pitfalls and how to gain social sustainability
Independent thesis Basic level (university diploma), 20 credits / 30 HE creditsStudent thesis
This thesis has been performed in collaboration with Volvo Cars Engine in Skövde, Sweden and Zhangjia-kou, China in order to receive a bachelor degree in automation engineering from the University of Skövde.
The project focuses on analyzing the capacity of a future production line by using discrete event simulation. The production line is built in two different discrete event simulation software, FACTS analyzer and Plant Simulation. The focus of the study will be to compare the output results from the two software in order to give recommendations for which software to use in similar cases. This is done in order for Volvo Cars Corporation to have as a basis for further work in similar cases. The aim of the work is to verify the planned capacity of the new production line and to perform a leadership study with Chinese engineers in order to find out how they view the Swedish leadership and how this can be adapted to China and the Chinese culture and give recommendations for future work.
The results of the capacity analysis show that the goals of parts produced can be reached for both planned capacities but also that there are potential constraints that have been identified in the system. The results of the leadership study also show that the overall approach should be slightly adapted to be better suited for the Chinese culture. The comparison of the two simulation software suggests that FACTS Analyzer is suit-able to use when less complex logic or systems are represented, however when building more complex models consisting of more complex logic Plant Simulation is more suitable.
Place, publisher, year, edition, pages
2015. , 70 p.
Discrete Event Simulation, Capacity Studies, Leadership, Cultural differences, Production systems, Plant Simulation and FACTS analyzer
IdentifiersURN: urn:nbn:se:his:diva-11370OAI: oai:DiVA.org:his-11370DiVA: diva2:846778
Subject / course
Industrial Automation Engineer