Maximizing delivery performance in semiconductor wafer fabrication facilities

Scott J. Mason, John Fowler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This paper is motivated by the problem of scheduling customer orders (jobs) in a semiconductor fabrication facility (`wafer fab') to maximize delivery performance when the jobs have non-identical priorities (weights). As each job is typically assigned a weight based on its size, value, and/or requesting customer, a wafer fab's delivery performance can be evaluated in terms of minimizing the sum of each job's weighted tardiness. A heuristic has been proposed for obtaining `good' solutions to this complex problem. Using a `real world' wafer fab data model, the heuristic is compared to a number of dispatching rules in terms of how well each method produces job sequences that maximize delivery performance of customer orders. Results suggest that the heuristic consistently produces the best overall schedules, but there is a price to be paid in terms of solution speed.

Original languageEnglish (US)
Title of host publicationWinter Simulation Conference Proceedings
Pages1458-1463
Number of pages6
Volume2
StatePublished - 2000
Event2000 Winter Simulation Proceedings - Orlando, FL, USA
Duration: Dec 10 2000Dec 13 2000

Other

Other2000 Winter Simulation Proceedings
CityOrlando, FL, USA
Period12/10/0012/13/00

Fingerprint

Wafer
Data structures
Semiconductors
Fabrication
Customers
Scheduling
Heuristics
Semiconductor materials
Maximise
Dispatching Rules
Tardiness
Data Model
Schedule

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality
  • Applied Mathematics
  • Modeling and Simulation

Cite this

Mason, S. J., & Fowler, J. (2000). Maximizing delivery performance in semiconductor wafer fabrication facilities. In Winter Simulation Conference Proceedings (Vol. 2, pp. 1458-1463)

Maximizing delivery performance in semiconductor wafer fabrication facilities. / Mason, Scott J.; Fowler, John.

Winter Simulation Conference Proceedings. Vol. 2 2000. p. 1458-1463.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mason, SJ & Fowler, J 2000, Maximizing delivery performance in semiconductor wafer fabrication facilities. in Winter Simulation Conference Proceedings. vol. 2, pp. 1458-1463, 2000 Winter Simulation Proceedings, Orlando, FL, USA, 12/10/00.
Mason SJ, Fowler J. Maximizing delivery performance in semiconductor wafer fabrication facilities. In Winter Simulation Conference Proceedings. Vol. 2. 2000. p. 1458-1463
Mason, Scott J. ; Fowler, John. / Maximizing delivery performance in semiconductor wafer fabrication facilities. Winter Simulation Conference Proceedings. Vol. 2 2000. pp. 1458-1463
@inproceedings{b6219de769c74784991a017c761b6939,
title = "Maximizing delivery performance in semiconductor wafer fabrication facilities",
abstract = "This paper is motivated by the problem of scheduling customer orders (jobs) in a semiconductor fabrication facility (`wafer fab') to maximize delivery performance when the jobs have non-identical priorities (weights). As each job is typically assigned a weight based on its size, value, and/or requesting customer, a wafer fab's delivery performance can be evaluated in terms of minimizing the sum of each job's weighted tardiness. A heuristic has been proposed for obtaining `good' solutions to this complex problem. Using a `real world' wafer fab data model, the heuristic is compared to a number of dispatching rules in terms of how well each method produces job sequences that maximize delivery performance of customer orders. Results suggest that the heuristic consistently produces the best overall schedules, but there is a price to be paid in terms of solution speed.",
author = "Mason, {Scott J.} and John Fowler",
year = "2000",
language = "English (US)",
volume = "2",
pages = "1458--1463",
booktitle = "Winter Simulation Conference Proceedings",

}

TY - GEN

T1 - Maximizing delivery performance in semiconductor wafer fabrication facilities

AU - Mason, Scott J.

AU - Fowler, John

PY - 2000

Y1 - 2000

N2 - This paper is motivated by the problem of scheduling customer orders (jobs) in a semiconductor fabrication facility (`wafer fab') to maximize delivery performance when the jobs have non-identical priorities (weights). As each job is typically assigned a weight based on its size, value, and/or requesting customer, a wafer fab's delivery performance can be evaluated in terms of minimizing the sum of each job's weighted tardiness. A heuristic has been proposed for obtaining `good' solutions to this complex problem. Using a `real world' wafer fab data model, the heuristic is compared to a number of dispatching rules in terms of how well each method produces job sequences that maximize delivery performance of customer orders. Results suggest that the heuristic consistently produces the best overall schedules, but there is a price to be paid in terms of solution speed.

AB - This paper is motivated by the problem of scheduling customer orders (jobs) in a semiconductor fabrication facility (`wafer fab') to maximize delivery performance when the jobs have non-identical priorities (weights). As each job is typically assigned a weight based on its size, value, and/or requesting customer, a wafer fab's delivery performance can be evaluated in terms of minimizing the sum of each job's weighted tardiness. A heuristic has been proposed for obtaining `good' solutions to this complex problem. Using a `real world' wafer fab data model, the heuristic is compared to a number of dispatching rules in terms of how well each method produces job sequences that maximize delivery performance of customer orders. Results suggest that the heuristic consistently produces the best overall schedules, but there is a price to be paid in terms of solution speed.

UR - http://www.scopus.com/inward/record.url?scp=0034428049&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034428049&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0034428049

VL - 2

SP - 1458

EP - 1463

BT - Winter Simulation Conference Proceedings

ER -