SLIM: Short Cycle Time and Low Inventory in Manufacturing at Samsung Electronics

Robert C. Leachman (), Jeenyoung Kang () and Vincent Lin ()
Additional contact information
Robert C. Leachman: Department of Industrial Engineering and Operations Research, University of California at Berkeley, Berkeley, California 94720–1777
Jeenyoung Kang: IBM Korea, Inc., MMAA Building, Dogok-dong, Gangnam-gu, Seoul, Korea 467–12
Vincent Lin: Leachman and Associates LLC, 5870 Carmel Way, Union City, California 94587

Interfaces, 2002, vol. 32, issue 1, 61-77

Abstract: SLIM is a set of methodologies and scheduling applications for managing cycle time in semiconductor manufacturing. SLIM includes methodology for calculating target cycle times and target WIP levels for individual manufacturing steps, heuristic algorithms for factory floor scheduling, and optimization-based capacity analysis. Between 1996 and 1999, Samsung Electronics Corp., Ltd., implemented SLIM in all its semiconductor manufacturing facilities. It reduced manufacturing cycle times to fabricate dynamic random access memory devices from more than 80 days to less than 30. Considering the decline of selling prices for dynamic random access memory devices, SLIM enabled Samsung to capture an additional $1 billion in sales revenue compared to the revenue it would have realized had cycle times not been reduced.

Keywords: Manufacturing: performance; productivity; Industries: computer; electronics (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://dx.doi.org/10.1287/inte.32.1.61.15 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:32:y:2002:i:1:p:61-77

Access Statistics for this article

More articles in Interfaces from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().