Shop floor control in the VLSI circuit manufacturing: a simulation approach and a case study

Roberto Cigolini, Simone Franceschetto and Andrea Sianesi

International Journal of Production Research, 2022, vol. 60, issue 18, 5450-5467

Abstract: This paper introduces a new approach to design and model shop floor control techniques for wafer fabs in the very large-scale integrated circuit manufacturing industry. The new model suggests the scheduling system should be selected by considering the type of work centres – whether they are sequential or batch – and the relevance of set-up times and capacity utilisation rate. The proposed scheduling model has been tested via a simulation model of the existing system, and by using data coming from the field, which leads to consider real-life performance to be close to the output of the simulation campaign. The main results point out that the performance of batch work centres – even though they represent a reduced portion of the whole set of work centres – can remarkably affect the performance of the whole fab. In addition, relevant improvements in term of throughput rate and capital productivity can be obtained also at the shop floor level via slack-based dispatching procedures. Results are particularly appealing because they can be implemented in a very short period and without significant infrastructural investments.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2021.1959954 (text/html)
Access to full text is restricted to subscribers.

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:taf:tprsxx:v:60:y:2022:i:18:p:5450-5467

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20

DOI: 10.1080/00207543.2021.1959954

Access Statistics for this article

International Journal of Production Research is currently edited by Professor A. Dolgui

More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().