M.S THESIS PRESENTATION: Title: PRODUCTION LINE CALIBRATION WITH DATA ANALYSIS

Date/Time
Date(s) - 12/09/2022
14:00 - 15:00

Categories No Categories


SEMINAR IE

Title: PRODUCTION LINE CALIBRATION WITH DATA ANALYSIS by İsmail Burak Taş , MS Industrial Engineering

Advisor:  Prof. Dr. Savaş Dayanık

Date: Sept. 12, 2022 02:00 PM Istanbul

https://zoom.us/j/6547746234?pwd=ZENZNWtCbUlQRjVMMVFneWtxZGlzZz09

Meeting ID: 654 774 6234

Passcode: 478379

Abstract:  Product weights can be statistically related to controllable and uncontrollable factors of the production processes. Uncontrollable factors may be correlated with controllable factors. We fitted a response surface approximator of product weights and found sub-optimal controllable factors’ values that minimize product weight. Furthermore, we found that the uncertainty of uncontrollable variables and the correlation among them may affect the result of product weight minimization. The company may implement these findings to reduce the cost of production. Also, we formulated a fully Bayesian experimental design problem to minimize product weight tolerance limits and built hierarchical models. Posterior distributions of the hierarchical models’ parameters can be simulated by a Gibbs sampler. However, we conclude that the effectiveness and convergence of the Gibbs sampler may not be robust to candidate design settings while searching over the design space to solve the experimental design problem.