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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaodong Yao Fu, M. Marcus, S.I. Fernandez-Gaucherand, E. |
| Copyright Year | 2001 |
| Description | Author affiliation: Inst. for Syst. Res., Maryland Univ., College Park, MD, USA (Xiaodong Yao) |
| Abstract | Preventive maintenance (PM) is a vital activity in semiconductor manufacturing. A good PM schedule can increase the availability of tools by trading off between the planned unproductive down time versus the risk of much costlier unscheduled down time due to tool failures. Cluster tools are highly integrated systems made up of several processing modules (chambers) mechanically linked together, which can perform a sequence of semiconductor manufacturing processes. We present a two-layer hierarchical modeling framework for addressing the PM optimization problem for cluster tools, i.e., a Markov decision process (MDP) model at the higher level, and a mixed linear programming (LP) model at the lower level. Production planning data such as WIP levels are incorporated in these models. The LP model is solved using optimization packages EasyModeler and OSL. A case study comparing the results with a reference schedule is conducted in the simulation environment AutoSched AP, and numerical results are reported. |
| Sponsorship | IEEE Control Syst. Soc |
| Starting Page | 407 |
| Ending Page | 411 |
| File Size | 540082 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780367332 |
| DOI | 10.1109/CCA.2001.973899 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-09-07 |
| Publisher Place | Mexico |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Preventive maintenance Job shop scheduling Manufacturing systems Optimal scheduling Processor scheduling Semiconductor device manufacture Production planning Computer aided manufacturing Availability Linear programming |
| Content Type | Text |
| Resource Type | Article |
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