Odds-based decision-making tool for opportunistic production-maintenance synchronization

International Journal of Production Research

Volumn 46, Issue 19, 2008, Pages 5263-5287

  Levrat, E ^a   Thomas, E ^a   Iung, B ^a  

^a CENTRE DE RECHERCHE EN AUTOMATIQUE DE NANCY   (France)

Author keywords

Maintenance; Maintenance decision making; Odds algorithm (Bruss algorithm); Opportunistic preventive maintenance; Production maintenance synchronization

Indexed keywords

CANNING; DECISION MAKING; INTEGRATION; MAINTENANCE; METALS; PLANNING; PROBLEM SOLVING; PRODUCTION CONTROL; PRODUCTION ENGINEERING; TECHNOLOGY;

COMPONENT RELIABILITY; COMPUTATIONAL ENGINEERING; ECO-EFFICIENCY; INNOVATIVE CULTURE; LIFE-CYCLE; MAINTENANCE ACTIVITIES; MAINTENANCE DECISION MAKING; MAINTENANCE TASKS; METAL BOBBINS; ODDS ALGORITHM (BRUSS ALGORITHM); OPPORTUNISTIC MAINTENANCE; OPPORTUNISTIC PREVENTIVE MAINTENANCE; OPTIMAL STOPPING; PRODUCT LIFE CYCLES; PRODUCT PERFORMANCES; PRODUCT QUALITIES; PRODUCTION ACTIVITIES; PRODUCTION PLANNING; PRODUCTION STRATEGIES; PRODUCTION-MAINTENANCE SYNCHRONIZATION; SYSTEM AVAILABILITY;

MAINTAINABILITY;

EID: 52149122513     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207540802273793     Document Type: Conference Paper

References (50)

1. Al-Najjar, B. and Alsyouf, I., Improving effectiveness of manufacturing systems using total quality maintenance. Integ. Manuf. Syst., 2000, 11, 267-276.
2. Al-Najjar, B. and Alsyouf, I., Enhancing a company's profitability and competitiveness using integrated vibration-based maintenance: a case study. Euro. J. Oper. Res., 2003, 157, 643-657.
3. Berg, M., General trigger-off replacement procedures for two-unit systems. Naval Res. Logist., 1978, 25(March), 15-29.
4. Berk, E. and Moinzadeh, K., Analysis of maintenance policies for M machines with deteriorating performance. IIE Trans., 2000, 32, 433-444.
5. Billingsley, P., Probability and Measure, 1995 (Wiley: New York).
6. Bruss, F.T., Sum the odds to one and stop. Ann. Prob., 2000, 28, 1384-1391.
7. Bruss, F.T., A note on bounds for the odds-theorem of optimal stopping. Ann. Prob., 2003, 31, 1859-1861.
8. Budai, G., Dekker, R. and Nicolai, R.P., A review of planning models for maintenance and production. Econ. Inst. Report, 2006, EI, 2006-44.
9. Cassady, C., Pohl, E. and Murdock, W., Selective maintenance modeling for industrial systems. J. Qual. Main. Eng., 2001, 7(2), 104-117.
10. Charles, A., Floru, I., Azzaro-Pantel, C., Pibouleau, L. and Domenech, S., Optimization of preventive maintenance strategies in a multipurpose batch plant: application to semiconductor manufacturing. Comput. Chem. Eng., 2003, 27, 449-467.
11. Cheung, K., Hui, C., Sakamoto, H., Hirata, K. and O'Young, L., Short-term site-wide maintenance scheduling. Comput. Chem. Eng., 2004, 28, 91-102.
12. Chow, Y.S., Robbins, H. and Siegmund, D., The Theory of Optimal Stopping, 1991 (Dover: New York).
13. Cunha, P.F. and Caldeira Duarte, J.A., Development of a productive service module based on a life cycle perspective of maintenance issues. Ann. CIRP, 2004, 53(1), 13-16.
14. Dedopoulos, L. and Shah, N., Preventive maintenance policy optimisation for multipurpose plant equipment. Comput. Chem. Eng., 1995, 19, 693-698.
15. Dekker, R. and Dijkstra, M., Opportunity-based age replacement: exponentially distributed times between opportunities. Naval Res. Logist., 1992, 39, 175-190.
16. Dekker, R., Van der Duyn Schouten, F.A. and Wildeman, R.E., A review of multicomponent models with economic dependence. Math. Meth. Oper. Res., 1997, 45(3), 411-435.
17. Dekker, R. and van Rijn, C., Prompt - a decision-support system for opportunity-based preventive maintenance. In Reliab. Maintenance Complex Syst, edited by S. Ozekici, NATO ASI series, Vol. 154, pp. 517-536, 1996 (Springer-Verlag: Berlin). ISBN: 978-3-540-61109-7.
18. DeSimone, L.D., Popoff, F. and the WBCSD. Eco-efficiency, 1997 (MIT Press: Cambridge, USA). ISBN-10: 0-262-54109-2.
19. Djurdjanovic, D., Lee, J. and Ni, J., Watchdog agent - an infotronics-based prognostics approach for product performance degradation assessment and prediction. Adv. Eng. Inform., 2003, 17, 109-125.
20. Doyen, L. and Gaudoin, O., Class of imperfect repair models based on reduction of failure intensity or virtual age. Reliab. Eng. Syst. Safety, 2004, 84, 45-56.
21. Frost, D. and Dechter, R., Optimizing with constraints: a case study in scheduling maintenance of electric power units. Lecture Notes Comput. Sci., 1998, 1520, 469-488.
22. Gharbi, A. and Kenné, J.-P., Maintenance scheduling and production control of multiplemachine manufacturing systems. Comput. Indust. Eng., 2005, 48, 693-707.
23. Gupta, D., Günalay, Y. and Srinivasan, M.M., The relationship between preventive maintenance and manufacturing system performance. Euro. J. Oper. Res., 2001, 132, 146-162.
24. Iung, B., Levrat, E. and Thomas, E., 'Odds algorithm'-based opportunistic maintenance task execution for preserving product conditions. Ann. CIRP, 2007, 56(1), 13-16.
25. Iung, B., Véron, M., Suhner, M.-C. and Muller, A., Integration of maintenance strategies into prognosis process to decision-making aid on system operation. Ann. CIRP, 2005, 54(1), 5-8.
26. Jhang, J.P. and Sheu, S.H., Opportunity-based age replacement policy with minimal repair. Reliab. Eng. Syst. Safety, 1999, 64(3), 339-344.
27. Kianfar, F., A numerical method to approximate optimal production and maintenance plan in a flexible manufacturing system. Appl. Math. Compu., 2005, 170, 924-940.
28. Kutucuoglu, K.Y., Hamali, J., Irani, Z. and Sharp, J.M., A framework for managing maintenance using performance measurement systems. Int. J. Oper. Prod. Man., 2001, 21, 173-195.
29. Léger, J.-B. and Morel, G., Integration of maintenance in the enterprise: towards an enterprise modelling-based framework. Prod. Plan. & Cont., 2001, 12, 176-187.
30. Levrat, E., Thomas, E. and Iung, B., A decision tool for opportunistic maintenance strategy to preserve component performances, in IFAC Conference on Cost Effective Automation (CEA) in Networked Product Development and Manufacturing, 2-5 October 2007, Monterey, Mexico, 2008, 287-293.
31. McCall, J.J., Operating characteristics of opportunistic replacement and inspection policies. Man. Sci., 1963, 10(1), 85-97.
32. Muller, A., Suhner, M.-C. and Iung, B., Probabilistic vs. dynamical prognosis process-based e-maintenance system, in Proceedings of the 11th IFAC Symposium on Information Control Problems in Manufacturing INCOM'04, Salvador, Brazil, 2004.
33. Muller, A., Suhner, M.-C. and Iung, B., Formalisation of a new prognosis model for supporting proactive maintenance implementation on industrial system. Reliab. Eng. Syst. Safety, 2008, 93(2), 234-253.
34. Pham, H. and Wang, H., Imperfect maintenance. Euro. J. Oper. Res., 1996, 94, 425-438.
35. Rahim, M.A. and Ben-Daya, M. (eds), Integrated Models in Production Planning, Inventory, Quality, and Maintenance, 472 pages, 2001 (Kluwer Academic Publishers: MA).
36. Rosqvist, T., Stopping time optimisation in condition monitoring. Reliab. Eng. Syst. Safety, 2002, 76, 319-325.
37. Scarf, P.A., On the application of mathematical models in maintenance. Euro. J. Oper. Res., 1997, 99(3), 493-506.
38. Shiryayev, A.N., Optimal Stopping Rules, 1978 (Springer: New York).
39. Swanson, D., A general prognostic tracking algorithm for predictive maintenance. IEEE Int. Conf. Aerospace, 2001, 6, 2971-2977.
40. Takata, S., Kimura, F., Van Houten, F.J.A.M., Westkämper, E., Shpitalni, M., Ceglarek, D. and Lee, J., Maintenance: changing role in life cycle management. Ann. CIRP, 2004, 53(2), 643-656.
41. Thomas, E., Levrat, E. and Iung, B., L'algorithme de Bruss comme contribution à une maintenance préventive opportuniste. Revue électronique des Sciences et Technologies de l'Automatique e-sta, 2007, 4(3), 13-18 (in French).
42. Thomas, E., Levrat, E. and Iung, B., Maintenance decision making tool reaching a compromise between maintainability and reliability performances, in 17th IFAC World Congress, 6-11 July 2008, Seoul, Korea, 2008, 907-912.
43. Thomas, E., Levrat, E., Iung, B. and Monnin, M., 'Odds algorithm'-based opportunitytriggered preventive maintenance with production policy, in Proceedings of the 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes Safeprocess'06, China, 2006, pp. 835-840.
44. Van Dijkhuizen, G., Maintenance grouping in multi-setup multi-component production systems. In Maintenance, Modelling and Optimization, edited by M. Ben-Daya, S. Duffuaa and A. Raouf, pp. 283-306, 2000 (Kluwer Academic Publishers). ISBN: 0-7928-4.
45. Van Houten, F.J.A.M., Tomiyama, T. and Salomons, O.W., Product modelling for modelbased maintenance. Ann. CIRP, 1998, 47(1), 123-129.
46. Vatn, J., Hokstad, P. and Bodsberg, L., An overall model for maintenance optimization. Reliab. Eng. Syst. Safety, 1996, 63, 133-140.
47. Vaurio, J.K., Availability and cost functions for periodically inspected preventively maintained units. Reliab. Eng. Syst. Safety, 1999, 63(2), 133-140.
48. Waeyenbergh, G. and Pintelon, L., Maintenance concept development: a case study. Int. J. Prod. Econ., 2004, 89, 395-405.
49. Wang, H., A survey of maintenance policies of deteriorating systems. Euro. J. Oper. Res., 2002, 139, 469-489.
50. Wang, P. and Vachtsevanos, G., Fault prognosis using dynamic wavelet neural networks, in Proceedings of the IEEE Conference on System Readiness Technology AUTOTESTCON 2001, 20-23 August 2001, Valley Forge, Pennsylvania, USA, 2001.