Tardiness heuristic for scheduling Flexible Manufacturing Systems

Author:

KIRAN ALI S.1,ALPTEKIN SEMA1,CELAL KAPLAN A.2

Affiliation:

1. a Department of Engineering Management , University of Missouri-Rolla , Rolla, MO, 65401, USA

2. b Department of Industrial and Systems Engineering , University of Southern California , Los Angeles, CA, 90089-0193, USA.

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Computer Science Applications

Reference45 articles.

1. P AFENTAKIS , 1986 Maximun throughout in flexible manufacturing systems,Proceedings Second ORSAj TIMS Conference on Flexible Manufacturing Systems , K. E. Stecke and R. Suri , (eds). ( Amsterdam Elsevier , 509 –; 520

2. J. C AMMONS and T COVINDRAJ and C. M MITCHELL , 1986 , Human aided scheduling for FMS: a paradigm for human-computer interaction in real time schedulinf and control,Proceedings Second ORSA/TIMS Conference on Flexible Manufacturing Systems K. E. Stecke and R. Suri (eds), Amsterdam: Elsevier 443 –; 454

3. Sequencing Rules and Due-Date Assignments in a Job Shop

4. A dynamic priority rule for scheduling against due-dates

5. New trends in machine scheduling

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1. Experimental investigation of iterative simulation-based scheduling in a dynamic and stochastic job shop;Journal of Manufacturing Systems;2001-01

2. Analysis of reactive scheduling problems in a job shop environment;European Journal of Operational Research;2000-11

3. A simulation-based scheduler for flexible flowlines;International Journal of Production Research;1994-02

4. A probabilistic cost-based due date assignment model for job shops;International Journal of Production Research;1993-12

5. A Hybrid Approach to Flexible Manufacturing Systems Scheduling Using Neural and Symbolic Processing;New Directions for Operations Research in Manufacturing;1992

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