Using information about machine failures to control flowlines

Mathematical Methods of Operations Research

Volumn 45, Issue 3, 1997, Pages 455-481

  Roger Glassey, C ^a   Seshadri, Sridhajr ^b   Shanthikumar, J G ^a  

^a DEPARTMENT OF INDUSTRIAL ENGINEERING AND OPERATIONS RESEARCH   (United States)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

Markov Decision Theory; Production Scheduling; Semiconductor Industry

Indexed keywords

DECISION THEORY; MARKOV PROCESSES; PRODUCTION; REPAIR; SCHEDULING;

CONTROL FLOWLINES; MACHINE FAILURES; MARKOV DECISION THEORY; SEMICONDUCTOR INDUSTRY;

PRODUCTION CONTROL;

EID: 5244292033     PISSN: 14322994     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF01194790     Document Type: Article

References (31)

1. Akella A, Kumar PR (1986) Optimal control of production rate in a failure prone manufacturing system. IEEE Trans. Automatic Control 31:116-126
2. Birge JR, Glazebrook KD (1988) Assessing the effects of machine breakdowns in stochastic scheduling. OR Letters 7, 6:267-271
3. Boukas E, Haurie A (1990) Manufacturing flow control and preventive maintenance: A stochastic control approach. IEEE Trans. Automatic Control 36, 5:1024-1031
4. Buzacott JA, Shanthikumar JG (1992) PAC: A general approach for coordinating production in multiple-cell manufacturing systems. Prod. Oper. Manag.: 34-52
5. Buzacott JA, Shanthikumar JG (1993) Stochastic models of manufacturing systems. Prentice-Hall, New York
6. Gershwin SB (1988) Hierarchical flow control: A framework for scheduling and planning discrete events in manufacturing systems. IEEE Proc. Special Issue on Discrete Event Systems
7. Glassey CR, Seshadri S, Shanthikumar JG (1996) Linear control rules for production control of semiconductor fabs. IEEE Trans. Semiconductor Manufacturing 9, 4:536-549
8. Glassey CR, Seshadri S, Shanthikumar JG (1996a) Using information about machine failures to control flowlines. Working Paper. Department of Statistics & Operations Research, New York University
9. Glazebrook KD (1987) Evaluating the effect of machine breakdowns in stochastic scheduling problems. Naval Research Logistics 34, 3:319-335
10. Gershwin SB (1994) Manufacturing systems engineering. Prentice Hall, NJ
11. Harrison JM (1988) Browman models of queueing networks with heterogeneous customer populations. In: Fleming W, Lions PL (eds) Stochastic differential systems, stochastic control theory and applications, IMA Volume 10, Springer-Verlag, Berlin: 147-186
12. Harrison JM, Wein LM (1990) Scheduling networks of queues: Heavy traffic analysis of a two-station closed network. Operations Research 38, 6:1052-1064
13. Hildebrandt RR (1980) Scheduling machining systems when machines are prone to failures. Ph.D. Thesis, MIT, Dept. of Astronautics and Aeronautics
14. Kumar PR (1993) Re-entrant lines. Queueing Systems 13:87-110
15. Kumar PR (1994) Scheduling semiconductor manufacturing plants. IEEE Control Systems: 33-40
16. Kushner HJ (1990) Numerical methods for stochastic control problems in continuous time. SIAM J. Control and Optimization 28, 5:999-1048
17. Lippman SA (1975) Applying a new device in the optimization of exponential queuing systems. Operations Research 23, 4:687-710
18. Nurani RK (1995) Role of in-line process monitoring and control in wafer fab management. Ph.D. Dissertation, GSIA, Carnegie Mellon University, Pittsburgh, PA 15213
19. Nurani RK, Seshadri S, Shanthikumar JG (1995) Optimal control of a single stage production system subject to random process shifts. To appear in Operations Research
20. Pinedo M, Ramouz E (1988) A note on stochastic scheduling on a single machine subject to breakdown and repair. Prob. Eng. Inform. Sciences 2:41-49
21. Pinedo M (1995) Scheduling: Theory, algorithms and systems, Prentice Hall, NJ
22. Posner MJM, Berg M (1988) Analysis of a production-inventory system with unreliable production facility Operations Research Letters 8:339-345
23. Ross SM (1970) Applied probability models with optimization applications. Holden-Day, San Francisco
24. Seshadri S (1993) Stochastic models of semiconductor fabs. Ph.D. Thesis, Haas School of Business Administration, University of California, Berkeley, CA 94720
25. Seshadri S, Shanthikumar JG (1994) Allocation of chips to wafers in a production problem of semiconductor chips. To appear in Operations Research
26. Sharifnia A (1988) Production control of a manufacturing system with multiple machine states. IEEE Trans. AC 33, 7:620-625
27. Thomas LJ (1993) Stockless and fast production: Review and research agenda. In: Sarin RK (ed.), Perspectives in operations management: Essays in honor of Elwood S. Buffa, Kluwer Academic Publishers, Boston, MA
28. Uzsoy R, Lee CY, Martin-Vega LA (1992) A review of production planning and scheduling models in the semiconductor industry. 1. System Characteristics, Performance Evaluation and Production Planning. IIE Trans. 24, 4:47-60
29. Uzsoy R, Lee C, Martin-Vega LA (1994) A review of production planning and scheduling models in the semiconductor industry, Part II: Shop-floor control. IIE Transactions 26:44-55
30. Veatch MH, Wein LM (1993) Optimal control of a two-station tandem production/inventory system. Manuscript, Operations Research Center and Sloan School of Management, M.I.T.
31. Wein LM (1990) Optimal control of a two-station Brownian network, Math. Operations Research 15, 2:215-242