Date on Master's Thesis/Doctoral Dissertation
5-2016
Document Type
Doctoral Dissertation
Degree Name
Ph. D.
Department
Industrial Engineering
Degree Program
Industrial Engineering, PhD
Committee Chair
Evans, Gerald
Committee Co-Chair (if applicable)
Bae, Kihwan
Committee Member
Alexander, Suraj
Committee Member
Bai, Lihui
Committee Member
Chang, Dar-jen
Author's Keywords
Production System; inventory control; ADP; ANN
Abstract
Production systems focus not only on providing enough product to supply the market, but also on delivering the right product at the right price, while lowering the cost during the production process. The dynamics and uncertainties of modern production systems and the requirements of fast response often make its design and operation very complex. Thus, analytical models, such as those involving the use of dynamic programming, may fail to generate an optimal control policy for modern production systems. Modern production systems are often in possession of the features that allow them to produce various types of product through multiple working stations interacting with each other. The production process is usually divided into several stages, thus a number of intermediate components (WIP) are made to stock and wait to be handled by the next production stage. In particular, development of an efficient production and inventory control policy for such production systems is difficult, since the uncertain demand, system dynamics and large changeover times at the work stations cause significant problems. Also, due to the large state and action space, the controlling problems of modern production systems often suffer from the "curse of dimensionality".
Recommended Citation
Wu, Han, "Production and inventory control in complex production systems using approximate dynamic programming." (2016). Electronic Theses and Dissertations. Paper 2457.
https://doi.org/10.18297/etd/2457
