Development of Smart Semiconductor Manufacturing: Operations Research and Data Science Perspectives

Authors

Marzieh Khakifirooz
Mahdi Fathi
Kan Wu

Abstract

With advances in information and telecommunication technologies and data-enabled decision making, smart manufacturing can be an essential component of sustainable development. In the era of the smart world, semiconductor industry is one of the few global industries that are in a growth mode to smartness, due to worldwide demand. The important opportunities that can boost the cost reduction of productivity and improve quality in wafer fabrication are based on the simulations of actual environment in Cyber-Physical Space and integrate them with decentralized decision-making systems. However, this integration faced the industry with novel unique challenges. The stream of the data from sensors, robots, and Cyber-Physical Space can aid to make the manufacturing smart. Therefore, it would be an increased need for modeling, optimization, and simulation for the value delivery from manufacturing data. This paper aims to review the success story of smart manufacturing in semiconductor industry with the focus on data-enabled decision making and optimization applications based on operations research and data science perspective. In addition, we will discuss future research directions and new challenges for this industry.

Publisher

IEEE

First Page

108419

Last Page

108430

DOI

10.1109/ACCESS.2019.DOI||10.1109/ACCESS.2019.2933167

Publication Date

8-8-2019

College

James Worth Bagley College of Engineering

Department

Department of Industrial and Systems Engineering

Keywords

cloud computing, Cyber-Physical Space, data science, Industry 4.0, Internet of Things, operations research, smart manufacturing, semiconductor industry

Recommended Citation

Khakifirooz, Marzieh, Mahdi Fathi, and Kan Wu. "Development of smart semiconductor manufacturing: operations research and data science perspectives." IEEE Access 7 (2019): 108419-108430.