Scheduling methods for the statistical setup adjustment problem

International Journal of Production Research

Volumn 41, Issue 7, 2003, Pages 1467-1481

  Pan, Rong ^a   Del Castillo, Enrique ^a  

^a The Pennsylvania State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COSTS; ERROR ANALYSIS; FEEDBACK CONTROL; HEURISTIC METHODS; INVENTORY CONTROL; MACHINING; OPTIMIZATION; QUALITY CONTROL; ROBUSTNESS (CONTROL SYSTEMS); SCHEDULING; STATISTICAL PROCESS CONTROL;

OPTIMAL SCHEDULING;

OPERATIONS RESEARCH;

EID: 0242301584     PISSN: 00207543     EISSN: None     Source Type: Journal    
DOI: 10.1080/0020754031000065142     Document Type: Article

References (18)

1. ADAMS, B. M. and WOODALL, W. H., 1989, An analysis of Taguchi's on-line process control procedure under a random-walk model. Technometrics, 31, 401-413.
2. Box, G. E. P. and JENKINS, G. M., 1963, Further contributions to adaptive quality control: simultaneous estimation of dynamics: non-zero costs. Bulletin of the International Statistical Institute, 34, 943-974.
3. Box, G. E. P. and KRAMER, T., 1992, Statistical process monitoring and feedback adjustment - a discussion. Technometrics, 34, 251-267.
4. CROWDER, S. V., 1992, An SPC model for short production run: minimizing expected costs. Technometrics, 34, 64-73.
5. DEL CASTILLO, E., PAN, R. and COLOSIMO, B., 2002a, An unifying view of some process adjustment methods. To appear in Journal of Quality Technology.
6. DEL CASTILLO, E. PAN, R. and COLOSIMO, B. 2002b, Small sample performance of some statistical adjustment methods. To appear in Communications in Statistics, Simulation and Computation.
7. DUNCAN, D. B. and HORN, S. D., 1972, Linear dynamic recursive estimation from the viewpoint of regression analysis. Journal of the American Statistical Association, 67, 815-821.
8. GRUBBS, F. E., 1954. An optimum procedure for setting machines or adjusting processes. Industrial Quality Control, July, reprinted in Journal of Quality Technology, 1983, 15, 186-189.
9. PAN, R. and DEL CASTILLO, E., 2002, Integration of sequential adjustments and process monitoring techniques. Technical Report, Engineering Statistics Laboratory, Industrial Engineering Dept., Penn State University.
10. SILVER, E. A. and MEAL, H. C., 1973, A heuristic for selecting lot size quantities for the case of a deterministic time-varying demand rate and discrete opportunities for replenishment. Production and Inventory Management, 10, 64-74.
11. SILVER, E. A., PYKE, D. F. and PETERSON, R., 1998, Inventory Management and Production Planning and Scheduling, 3rd ed. (Wiley).
12. SIMPSON, N. C., 2001, Questioning the relative virtues of dynamic lot sizing rules. Computers and Operations Research, 28, 899-914.
13. SULLO, P. and VANDEVEN, M., 1999, Optimal adjustment strategies for a process with run-to-run variation and 0-1 quality loss. IIE Transactions, 31, 1135-1145.
14. TRIETSCH, D., 1998, The harmonic rule for process setup adjustment with quadratic loss. Journal of Quality Technology, 30, 75-84.
15. TRIETSCH, D., 2000, Process setup adjustment with quadratic loss. IIE Transactions, 32, 299-307.
16. TUCKER, W. T., FALTIN, F. W. and VANDER WEIL, S. A., 1993, Algorithmic statistical process control: an elaboration. Technometrics, 35, 363-375.
17. VANDER WEIL, S. A., TUCKER, W. T., FALTIN, F. W. and DOGANAKSOY, N., 1992, Algorithmic statistical process control: concepts and an application. Technometrics, 35, 139-151.
18. WAGNER, H. and WHITIN, T. M., 1958, Dynamic version of the economic lot size model. Management Science, 5, 89-96.