DocumentCode
1695942
Title
Optimization-based litho machine scheduling with multiple reticles and setups
Author
Yan, Bing ; Chen, Hsin Yuan ; Luh, Peter B. ; Wang, Simon ; Chang, Joey
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Connecticut, Storrs, CT, USA
fYear
2011
Firstpage
114
Lastpage
119
Abstract
The increasing demand for on-time delivery and low cost is forcing semiconductor manufacturers to seek more efficient schedules to allocate machines and other resources to minimize the cost associated with other features, such as setup. This paper presents the modeling and solution of litho machine scheduling with multiple reticles and setups in lithography, the bottleneck process of fabricating wafers in the semiconductor industry. For the litho machine scheduling under consideration, there are daily targets for every layer of several products, therefore, there is no need to number and distinguish different lots. A mixed integer optimization formulation is established with litho machines and reticles. The objective is to meet daily target, and reduce the number of setups. By linearizing processing time constraints and objective function, the problem is effectively solved by using branch and cut method. Several approaches, such as node selection strategy, are used to improve efficiency. Numerical testing shows that the method can generate high quality schedules within reasonable time.
Keywords
constraint theory; integer programming; lithography; semiconductor industry; single machine scheduling; litho machine scheduling; lithography; mixed integer optimization formulation; multiple reticles; numerical testing; objective function; on-time delivery; processing time constraints; semiconductor industry; wafer fabrication; Equations; Input variables; Job shop scheduling; Lithography; Optimization; Schedules; Tunneling magnetoresistance;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Science and Engineering (CASE), 2011 IEEE Conference on
Conference_Location
Trieste
ISSN
2161-8070
Print_ISBN
978-1-4577-1730-7
Electronic_ISBN
2161-8070
Type
conf
DOI
10.1109/CASE.2011.6042516
Filename
6042516
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