[HTML][HTML] Simulation optimization applied to production scheduling in the era of industry 4.0: A review and future roadmap

A Ghasemi, F Farajzadeh, C Heavey, J Fowler… - Journal of Industrial …, 2024 - Elsevier
Production Scheduling (PS) is an essential paradigm within supply and manufacturing
systems and an important element of sustainable development. PS, mainly known for its …

Driving smartness for organizational performance through Industry 4.0: a systems perspective

TS Abiodun, G Rampersad… - Journal of Manufacturing …, 2023 - emerald.com
Purpose The internationalization of business has grown the production value chains and
created performance challenges for industrial production. Industry 4.0, the digital …

Driving industrial digital transformation

T Abiodun, G Rampersad… - Journal of Computer …, 2023 - Taylor & Francis
The fourth industrial revolution has increased focus on industrial digital transformation (IDT)
for its industrial value creation potential. However, practical implementation continues to …

Digital twin-based analysis and optimization for design and planning of production lines

D Lee, CK Kim, J Yang, KY Cho, J Choi, SD Noh… - Machines, 2022 - mdpi.com
With the increasing dynamic nature of customer demand, production, product, and
manufacturing design changes have become more frequent. Moreover, inadequate …

Stochastic parallel machine scheduling using reinforcement learning

J Julaiti, SC Oh, D Das… - Journal of Advanced …, 2022 - Wiley Online Library
In a high‐mix and low‐volume manufacturing facility, heterogeneous jobs introduce frequent
reconfiguration of machines which increases the chance of unplanned machine …

Development of smart semiconductor manufacturing: Operations research and data science perspectives

M Khakifirooz, M Fathi, K Wu - Ieee Access, 2019 - ieeexplore.ieee.org
With advances in information and telecommunication technologies and data-enabled
decision making, smart manufacturing can be an essential component of sustainable …

Neuro-symbolic hybrid systems for industry 4.0: a systematic mapping study

I Sittón, RS Alonso, E Hernández-Nieves… - … in Organizations: 14th …, 2019 - Springer
Neuro-symbolic hybrid systems (NSHS) have been used in several research areas to obtain
powerful intelligent systems. A systematic mapping study was conducted, searching studies …

Barriers to manufacturing integrated circuit chips in the Indian semiconductor manufacturing industry using the grey influence analysis (GINA)

KB Singh, SC Misra - Business Process Management Journal, 2024 - emerald.com
Purpose This study identifies and ranks the barriers to manufacturing integrated circuit (IC)
chips in the Indian semiconductor manufacturing industry by examining the causal …

Outliers detection models in shewhart control charts; An application in photolithography: A semiconductor manufacturing industry

IA Raji, MH Lee, M Riaz, MR Abujiya, N Abbas - Mathematics, 2020 - mdpi.com
Shewhart control charts with estimated control limits are widely used in practice. However,
the estimated control limits are often affected by phase-I estimation errors. These estimation …

Lean and Industry 4.0 mitigating common losses in Engineer-to-Order theory and practice: an exploratory study

F Schulze, P Dallasega - Flexible Services and Manufacturing Journal, 2023 - Springer
Companies employing an Engineer-to-Order (ETO) manufacturing strategy often develop,
design and produce complex goods in single or small batches based on an individual …