PhD Defense by Junying (Jasper) He

Event Details
  • Date/Time:
    • Wednesday June 10, 2020
      10:00 am - 12:00 pm
  • Location: REMOTE: BLUE JEANS
  • Phone:
  • URL: REMOTE
  • Email:
  • Fee(s):
    N/A
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Summaries

Summary Sentence: Bayesian Approach for Feasibility Determination and Spatiotemporal Scheduling

Full Summary: No summary paragraph submitted.

Thesis Title: Bayesian Approach for Feasibility Determination and Spatiotemporal Scheduling

Advisor: Dr. Seong-Hee Kim, School of Industrial and Systems Engineering, Georgia Tech

 

Committee members:

Dr. Sigrun Andradottir, School of Industrial and Systems Engineering, Georgia Tech

Dr. Yajun Mei, School of Industrial and Systems Engineering, Georgia Tech

Dr. Enlu Zhou, School of Industrial and Systems Engineering, Georgia Tech

Dr. Chuljin Park, Dept of Industrial Engineering, Hanyang University

 

Date and Time: 10am-12pm, Wednesday, June 10th, 2020

 

Meeting URL (for BlueJeans):

https://bluejeans.com/3466281827

 

Meeting ID (for BlueJeans):

3466281827

 

Abstract:



This thesis mainly consists of four parts. The first three parts explore Bayesian methods in solving the feasibility determination problem that commonly arises in the study of simulation and the last part considers spatiotemporal scheduling in manufacturing. More specifically, we propose a new reward function for Bayesian feasibility determination which emphasizes the importance of barely feasible/infeasible systems whose mean performance measures are close to the threshold. We utilize our proposed reward function in developing a Bayesian procedure and show its advantage in comparison with the benchmark procedures in the first part. Then, we present new two-stage and sequential Bayesian procedures that are not only easy to compute but also effective in solving the feasibility determination problem in the second part. In the third part, we focus on solving feasibility determination using a Gaussian process and propose our novel acquisition function. Finally, the last part focuses on a different topic, namely, spatiotemporal scheduling which often occurs in a manufacturing site where products are large and tend to be customized, such as ships, aircraft, and constructional structures. We consider how to generate a reasonably good temporal and spatial schedule on the manufacturing process. We propose a two-phase approach in solving this scheduling problem with an application to block scheduling in shipbuilding.

 

Additional Information

In Campus Calendar
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Groups

Graduate Studies

Invited Audience
Faculty/Staff, Public, Graduate students, Undergraduate students
Categories
Other/Miscellaneous
Keywords
Phd Defense
Status
  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: May 27, 2020 - 4:52pm
  • Last Updated: May 27, 2020 - 4:52pm