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Tesi etd-09042019-215939


Thesis type
Tesi di laurea magistrale
Author
BARSOTTI, LUDOVICO
URN
etd-09042019-215939
Title
Numerical Evaluation of Robustness in Manufacturing Systems
Struttura
INGEGNERIA DELL'ENERGIA, DEI SISTEMI, DEL TERRITORIO E DELLE COSTRUZIONI
Corso di studi
INGEGNERIA GESTIONALE
Supervisors
relatore Prof. Dini, Gino
relatore Dott. Pagone, Emanuele
relatore Dott. Salonitis, Konstantinos
Parole chiave
  • Robustness
  • manufacturing system
  • discrete event simulation
  • confidence interval analysis
  • ANOVA
  • full factorial DOE
Data inizio appello
02/10/2019;
Consultabilità
Secretata d'ufficio
Data di rilascio
02/10/2089
Riassunto analitico
Uncertainty affects significantly manufacturing systems both within the plant boundaries and externally. Therefore, many companies simulate their production processes to cope with disturbances and evaluate robustness. Collaborating with an aerospace manufacturing firm, the scope of this paper is to devise a methodology to evaluate the robustness of a manufacturing system, starting from an already built discrete event simulation (DES) model in Tecnomatix Plant Simulation software. Different scenarios to test the simulation model were established and the confidence interval method was applied to assess key performance indicators (KPI) robustness against different disturbances. To analyse system variability two different ANOVA were conducted. The first one, between scenarios, evaluated the disturbances effects onto the system, while the latter, within each scenario, compared the dispatching rules. A design of experiment analysis was performed to assess disturbances interaction. Finally, a cost model was defined to perform an in-depth comparison between the policies. The analysis pointed out the minimum number of observations to get a robust system in the different operating conditions, the factor with the greatest impact on performances and the best policy to face disturbances allowing a fitted performances improvement.
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