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

  • Marzieh Khakifirooz*
  • , Mahdi Fathi
  • , Kan Wu
  • *Corresponding author for this work
  • Instituto Tecnologico de Estudios Superiores de Monterrey
  • Mississippi State University
  • Nanyang Technological University

Research output: Contribution to journal › Journal Article › peer-review

31 Scopus citations

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.

Original languageEnglish
Article number8787825
Pages (from-to)108419-108430
Number of pages12
JournalIEEE Access
Volume7
DOIs
StatePublished - 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Cloud computing
  • Industry 4.0
  • Internet of Things
  • cyber-physical space
  • data science
  • operations research
  • semiconductor industry
  • smart manufacturing

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