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Realtime operations scheduling for flexible manufacturing systems

Authors:

Jastej S. Dhingra,

K. L. Musser,

G. L. BlankenshipAuthors Info & Claims

WSC '92: Proceedings of the 24th conference on Winter simulation

Pages 849 - 855

https://doi.org/10.1145/167293.167745

Published: 01 December 1992 Publication History

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References

[1]

Dhingra, J. S., K. L. Musser, G. L. Blankenship and L. Ferguson. 1991. Annealing Based Experiment m Scheduling. To appear in Texas b~str~meT~s Tec}~- nical Journal.

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[2]

Musser, K. L., J. S. Dhingra and G. L. Blankenship. 1991. Optimization based .Job Shop Scheduling. To appear in IEEE Transact~oT~s on Automatic Control.

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[3]

van Laarhoven, P. J. M., E. H. L. Aarts, and J. K. Lenstra. 1992. Job Shop Scheduling by Simulat.ed Annealing. Operatzons Research 40:113-125.

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Figueroa APoler RAndres B(2024)Adaptive Production Rescheduling System for Managing Unforeseen DisruptionsMathematics10.3390/math1222347812:22(3478)Online publication date: 7-Nov-2024
https://doi.org/10.3390/math12223478
Beltrán-Bernal NRodríguez-Molano JMendoza-Patiño D(2024)Transgenic Algorithm Applied to the Job Shop Rescheduling ProblemIngeniería10.14483/23448393.2116229:1(e21162)Online publication date: 13-Jan-2024
https://doi.org/10.14483/23448393.21162
Vieira GHerrmann JLin E(2003)Rescheduling Manufacturing SystemsJournal of Scheduling10.1023/A:10222355199586:1(39-62)Online publication date: 1-Jan-2003
https://dl.acm.org/doi/10.1023/A%3A1022235519958

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In this paper, scheduling problems in Flexible Manufacturing Cells (FMC) are studied. The scheduling objective is to minimize the makespan. We used a genetic algorithm (GA) for solving the optimization scheduling problem. We have developed one FMC with ...
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Abstract
American designers are designing more flexibility into flexible manufacturing systems (FMSs). However, there has been little research on the scheduling of these more flexible systems. This study adds insights into how these systems should be ...

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WSC '92: Proceedings of the 24th conference on Winter simulation

December 1992

1410 pages

ISBN:0780307984

DOI:10.1145/167293

Chairman:
Robert C. Crain
Wolverine Software Corporation, Annandale, VA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 01 December 1992

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WSC90

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IIE
IEEE-SMCS
ASA
ACM
ORSA
SCS
TIMS
SIGSIM
IEEE-CS
NIST

WSC90: 1990 Winter Simulation Conference

December 13 - 16, 1992

Virginia, Arlington, USA

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Figueroa APoler RAndres B(2024)Adaptive Production Rescheduling System for Managing Unforeseen DisruptionsMathematics10.3390/math1222347812:22(3478)Online publication date: 7-Nov-2024
https://doi.org/10.3390/math12223478
Beltrán-Bernal NRodríguez-Molano JMendoza-Patiño D(2024)Transgenic Algorithm Applied to the Job Shop Rescheduling ProblemIngeniería10.14483/23448393.2116229:1(e21162)Online publication date: 13-Jan-2024
https://doi.org/10.14483/23448393.21162
Vieira GHerrmann JLin E(2003)Rescheduling Manufacturing SystemsJournal of Scheduling10.1023/A:10222355199586:1(39-62)Online publication date: 1-Jan-2003
https://dl.acm.org/doi/10.1023/A%3A1022235519958

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Decomposition for Scheduling Flexible Manufacturing Systems

Genetic algorithms for solving scheduling problems in flexible manufacturing cells

Scheduling random flexible manufacturing systems with dynamic environments

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Decomposition for Scheduling Flexible Manufacturing Systems

Genetic algorithms for solving scheduling problems in flexible manufacturing cells

Scheduling random flexible manufacturing systems with dynamic environments

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