Robotic Cells with Stochastic Processing Times

IIE Transactions (2010) 42, 897-914

Mays Business School Research Paper No. 2012-54

20 Pages Posted: 16 May 2012

See all articles by Neil Geismar

Neil Geismar

Texas A&M University - Mays Business School

Michael Pinedo

New York University (NYU) - Leonard N. Stern School of Business

Date Written: 2010

Abstract

This article considers the scheduling of flow shops with a common server that performs all material handling, including the transfer of parts between machines, in the context of robotic cell flow shops. Specifically, the first analytic study of the operations of a robotic cell in which one process has a stochastic processing time, which is common in the microlithography portion of semiconductor manufacturing, is presented. How to measure throughput in such cells is defined and then how the proximity of the stochastic process to the bottleneck process affects throughput is demonstrated. The distribution function of the robot’s sequence time is found and verified with simulation results. This yields formulas for the cell’s expected throughput. On-line scheduling schemes to improve throughput are presented.

Keywords: Common server, robotic cells, semiconductor manufacturing, stochastic processing time

Suggested Citation

Geismar, Neil and Pinedo, Michael, Robotic Cells with Stochastic Processing Times (2010). IIE Transactions (2010) 42, 897-914; Mays Business School Research Paper No. 2012-54. Available at SSRN: https://ssrn.com/abstract=2061267

Neil Geismar (Contact Author)

Texas A&M University - Mays Business School ( email )

Wehner 401Q, MS 4353
College Station, TX 77843-4218
United States

Michael Pinedo

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 West 4th Street
Suite 9-160
New York, NY NY 10012
United States

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