Stochastic programming based capacity planning for semiconductor wafer fab with uncertain demand and capacity

DOI10.1016/j.ejor.2008.09.029zbMath1176.90440OpenAlexW2040318994MaRDI QIDQ1042075

Zhibin Jiang, Na Geng, Feng Chen

Publication date: 7 December 2009

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2008.09.029

zbMATH Keywords

optimizationstochastic programmingscenariossemiconductor manufacturingOR in strategic planning

Mathematics Subject Classification ID

Stochastic programming (90C15)

Related Items (9)

Solving coupled task assignment and capacity planning problems for a job shop by using a concurrent genetic algorithm ⋮ Horizontal coordinating contracts in the semiconductor industry ⋮ Stochastic multi-site capacity planning of TFT-LCD manufacturing using expected shadow-price based decomposition ⋮ Generating decision rules for flexible capacity expansion problem through gene expression programming ⋮ Decision rule-based method in solving adjustable robust capacity expansion problem ⋮ Methodology for determining the acceptability of system designs in uncertain environments ⋮ A robust capacity expansion integrating the perspectives of marginal productivity and capacity regret ⋮ Robust production capacity planning under uncertain wafer lots transfer probabilities for semiconductor automated material handling systems ⋮ Long-term resource planning in the high-tech industry: capacity or inventory?

Cites Work

• A resource portfolio model for equipment investment and allocation of semiconductor testing industry
• Tool capacity planning for semiconductor fabrication facilities under demand uncertainty
• Tool capacity planning in semiconductor manufacturing.
• A resource portfolio planning model using sampling-based stochastic programming and genetic algorithm
• A review on strategic capacity planning for the semiconductor manufacturing industry
• Coordinating Strategic Capacity Planning in the Semiconductor Industry
• Robust capacity planning in semiconductor manufacturing

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