Production policies under deteriorating process conditions

IIE Transactions (Institute of Industrial Engineers)

Volumn 40, Issue 3, 2008, Pages 187-205

  Kazaz, Burak ^a   Sloan, Thomas W ^b  

^a SYRACUSE UNIVERSITY   (United States)

^b UNIVERSITY OF MASSACHUSETTS LOWELL   (United States)

Author keywords

Process deterioration; Production policies; Semi Markov decision process

Indexed keywords

MAINTENANCE; MARKOV PROCESSES; PROCESS MONITORING; QUALITY CONTROL;

PROCESS DETERIORATION; PRODUCTION POLICIES; SEMI-MARKOV DECISION PROCESS;

PRODUCTION CONTROL;

EID: 38049004960     PISSN: 0740817X     EISSN: 15458830     Source Type: Journal    
DOI: 10.1080/07408170701488060     Document Type: Conference Paper

References (19)

1. Ben-Daya, M. (2002) The economic production lot-sizing problem with imperfect production processes and imperfect maintenance. International Journal of Production Economics, 76, pp. 257-264.
2. Boone, T., Ganeshan, R., Guo, Y. M. and Ord, J. K. (2000) The impact of imperfect processes on production run times. Decision Sciences, 31, pp. 773-787.
3. Heyman, D. P. and Sobel, M. J. (1984) Stochastic Models in Operations Research, Volume II: Stochastic Optimization, McGraw-Hill, New York, NY
4. Howard, R. A. (1960) Dynamic Programming and Markov Processes, Technology Press of MIT, Cambridge, MA
5. Kao, E. P. C. (1973) Optimal replacement rules when changes of state are semi-Markovian. Operations Research, 21, pp. 1231-1249.
6. Kim, C. H., Hong, Y. S. and Chang, S. Y. (2001) Optimal production run length and inspection schedules in a deteriorating production process. IIE Transactions, 33, pp. 421-426.
7. Lee, H. L. and Rosenblatt, M. J. (1987) Simultaneous determination of production cycle and inspection schedules in a production system. Management Science, 33, pp. 1125-1136.
8. Lee, H. L. and Rosenblatt, M. J. (1989) A production and maintenance planning model with restoration cost dependent on detection delay. IIE Transactions, 21, pp. 368-375.
9. Lee, J. S. and Park, K. S. (1991) Joint determination of production cycle and inspection intervals in a deteriorating production system. Journal of the Operational Research Society, 42, pp. 775-783.
10. Makis, V. and Fung, J. (1998) An EMQ model with inspections and random machine failures. Journal of the Operational Research Society, 49, pp. 66-76.
11. Porteus, E. L. (1986) Optimal lot sizing, process quality improvement and setup cost reduction. Operations Research, 34, pp. 137-144.
12. Porteus, E. L. (1990) The impact of inspection delay on process and inspection lot sizing. Management Science, 36, pp. 999-1007.
13. Puterman, M. L. (1994) Markov Decision Processes: Discrete Stochastic Dynamic Programming, Wiley, New York, NY
14. Rosenblatt, M. J. and Lee, H. L. (1986) Economic production cycles with imperfect production processes. IIE Transactions, 18, pp. 48-54.
15. Sloan, T. W. and Shanthikumar, J. G. (2000) Combined production and maintenance scheduling for a multiple-product, single-machine production system. Production and Operations Management, 9, pp. 379-399.
16. Sloan, T. W. and Shanthikumar, J. G. (2002) Using in-line equipment and yield information for maintenance scheduling and dispatching in semiconductor wafer fabs. IIE Transactions, 34, pp. 191-209.
17. Tijms, H. C. (1986) Stochastic Modelling and Analysis: A Computational Approach, Wiley, New York, NY
18. Yano, C. A. and Lee, H. L. (1995) Lot sizing with random yields: A review. Operations Research, 43, pp. 311-334.
19. Zequeira, R. I., Prida, B. and Valdes, J. E. (2004) Optimal buffer inventory and preventive maintenance for an imperfect production process. International Journal of Production Research, 42, pp. 959-974.