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Robust Capacity Planning in Semiconductor Manufacturing
| Content Provider | Semantic Scholar |
|---|---|
| Author | Bermon, Stuart August, Sarah Hoody |
| Copyright Year | 2001 |
| Abstract | We present a stochastic programming approach to capacity planning under demand uncertainty in semiconductor manufacturing. Given multiple demand scenarios together with associated probabilities, our aim is to identify a set of tools that is a good compromise for all these scenarios. More precisely, we formulate a mixed-integer program in which expected value of the unmet demand is minimized subject to capacity and budget constraints. This is a difficult two-stage stochastic mixed-integer program which can not be solved to optimality in a reasonable amount of time. We instead propose a heuristic that can produce near-optimal solutions. Our heuristic strengthens the linear programming relaxation of the formulation with cutting planes and performs limited enumeration. Analyses of the results in some real-life situations are also presented. IBM T. J. Watson Research Center, Yorktown Heights, NY 10598 IBM Microelectronics Division |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ieor.columbia.edu/~oktay/scaps.ps |
| Alternate Webpage(s) | http://www.optimization-online.org/DB_FILE/2001/10/379.pdf |
| Alternate Webpage(s) | https://www.researchgate.net/profile/Francisco_Barahona/publication/227654806_Robust_capacity_planning_in_semiconductor_manufacturing._Naval_Research_Logistics_52(5)_459-468/links/0a85e52f2a07849ab9000000.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Heuristic Inclusion Body Myositis (disorder) Integer (number) Integer programming Large Linear programming relaxation Probability Programming model Real life Semiconductor device fabrication Solutions Solver Stochastic process Stochastic programming Thomas J. Watson Research Center |
| Content Type | Text |
| Resource Type | Article |