Radio frequency identification system optimisation models for lifecycle of a durable product

International Journal of Production Research

Volumn 48, Issue 9, 2010, Pages 2699-2721

  Osman, Mojahid Saeed ^a   Ram, Bala ^a   Stanfield, Paul ^a   Samanlioglu, Funda ^c   Davis, Lauren ^a   Bhadury, Joy ^b  

^a NORTH CAROLINA A AND T STATE UNIVERSITY   (United States)

^b UNIVERSITY OF NORTH CAROLINA AT GREENSBORO   (United States)

^c KADIR HAS UNIVERSITY   (Turkey)

Author keywords

Lifecycle management; Maintenance; Optimisation; RFID; Value of information

Indexed keywords

BILL OF MATERIALS; DATA ALLOCATION MODEL; DATA USAGE; DURABLE PRODUCTS; END-PRODUCTS; GENERAL MODEL; INDIVIDUAL COMPONENTS; LIFECYCLE MANAGEMENT; MEMORY CAPACITY; MULTIOBJECTIVE OPTIMISATION; OPTIMISATIONS; PRODUCT-LIFE-CYCLE; RADIO FREQUENCY IDENTIFICATION SYSTEMS; RADIO FREQUENCY IDENTIFICATION TECHNOLOGY; RF-ID TAGS; SELECTION MODEL; SOFTWARE ACQUISITION; TAG TYPES; TAGGING SYSTEMS; TOTAL COSTS; TOTAL VALUES; VALUE OF INFORMATION;

COSTS; MAINTENANCE; MULTIOBJECTIVE OPTIMIZATION; RADIO FREQUENCY IDENTIFICATION (RFID); RADIO WAVES; SUPPLY CHAIN MANAGEMENT; SUPPLY CHAINS;

RADIO NAVIGATION;

EID: 77951096896     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207540903565014     Document Type: Article

References (47)

1. Bolotnyy, L. and Robins, G., 2007. The case for multi-tag RFID systems. In: Proceedings of the international conference on wireless algorithms, systems and applications, 1-3 August 2007, Chicago, IL, 174-186.
2. Bornhovd, C., et al., 2005. Integrating smart items with business processes: an experience report. In: Proceedings of the 38th annual Hawaii international conference on system sciences, 3-6 January 2005, Waikola, Hawaii, 227c-227c (8 pages).
3. Bourland, K.E., Powell, S.G., and Pyke, D.F., 1996. Exploiting timely demand information to reduce inventories. European Journal of Operational Research, 92 (2), 239-253.
4. Cachon, G.P. and Fisher, M., 2000. Supply chain inventory management and the value of shared information. Management Science, 46 (8), 1032-1048.
5. Chandra, C., Grabis, J., and Tumanyan, A., 2007. Problem taxonomy: a step towards effective information sharing in supply chain management. International Journal of Production Research, 45 (11), 2507-2544.
6. Chen, F., 1998. Echelon reorder points, installation points, and the value of centralized demand information. Management Science, 44 (12), 221-234.
7. Chen, T.L., 2009. Real-time turbine maintenance system. Expert Systems with Applications, 36 (4), 8676-8681.
8. Chen, W., Meher-Homji, C., and Mistree, F., 1994. Compromise: an effective approach for condition-based maintenance management of gas turbines. Engineering Optimization, 22 (3), 185-201.
9. Davis, M.D., 1983. Game theory, a nontechnical introduction. New York: Dover Publications.
10. Dimopoulos, C., 2006. Multi-objective optimization of manufacturing cell design. International Journal of Production Research, 44 (18), 4855-4875.
11. Dominguez, H. and Lashkarir, S., 2004. Model for integrating the supply chain of an appliance company: a value of information approach. International Journal of Production Research, 42 (11), 2113-2140.
12. Ehtamo, H., Ruusunen, J., and Hamalainen, R.P., 1987. On the computation of the Nash bargaining solution with an energy management example. In: Proceedings of the 24th conference on decision and control, 9-11 December Los Angeles, CA. New York: Institute of Electrical and Electronics Engineers, 243-246.
13. Ergen, E., et al., 2007. Tracking components and maintenance history within a facility utilizing radio frequency identification technology. Journal of Computing in Civil Engineering, 21 (1), 11-20. (Pubitemid 44975038)
14. Fernandes, C.A.O., Carvalho, M.F.H., and Ferreira, P.A.V., 2000. Planejamento multiobjetivo da producao da manufatura atraves de programacao Alvo. In: Proceedings of 13th automatic Brazilian congress (Congresso Brasileiro de Automática, CBA2000), September 2000, Florianopolis, Brazil, 67-72.
15. Gavirneni, S., Kapuscinski, R., and Tayur, S., 1999. Value of information in capacitated supply chains. Management Science, 45 (1), 16-24.
16. Hansen, W.R. and Gillert, F., 2008. RFID for the optimization of business processes. Chichester, UK: John Wiley & Sons.
17. Hipkin, I., 1997. The implementation of information systems for maintenance management. International Journal of Production Research, 35 (8), 2429-2444.
18. Ketzenberg, M.E., Van der Laan, E., and Teunter, R.H., 2006. Value of information in closed loop supply chains. Production & Operations Management, 15 (3), 393-406.
19. Lampe, M., Strassner, M., and Fleisch, E., 2004. A ubiquitous computing environment for aircraft maintenance. In: Proceedings of the ACM symposium on applied computing, vol.2, 14-17 March 2004, Nicosia, Cyprus, 1586-1592.
20. Lee, H.L., So, K.C., and Tang, C.S., 2000. The value of information sharing in a two-level supply chain. Management Science, 46 (5), 624-664.
21. Legner, C. and Thiesse, F., 2006. RFID-based maintenance at Frankfurt airport. IEEE Pervasive Computing, 5 (1), 34-39.
22. Lehpamer, H., 2008. RFID design principles. Norwood, MA: Artech House.
23. Lyu, J. and Chen T., 2008. Optimize a RFID-based turbine maintenance model - a preliminary study. In: Proceedings of the IEEE international conference on industrial engineering and engineering management, IEEM 2008, 8-11 December 2008, Singapore, 501-505.
24. Macauley, M.K., 2005. The value of information: a background paper on measuring the contribution of space-derived earth science data to national resource management. Discussion paper 05-26, resources for the future. Available from: http://www.rff.org/documents/RFF-DP-05-26.pdf [Accessed 2 July 2008].
25. Malakooti, B., 1991. An interactive on-line multi-objective optimization approach with application to metal cutting turning operation. International Journal of Production Research, 29 (3), 575-598.
26. Mansouri, S.A., Moattar Husseini, S.M., and Newman, S.T., 2000. A review of the modern approaches to multi-criteria cell design. International Journal of Production Research, 38 (5), 1201-1218.
27. Marler, R.T. and Arora, J.S., 2004. Survey of multi-objective optimization methods for engineering. Structural and Multidisciplinary Optimization, 26 (6), 369-395.
28. Mazumdar, R., Mason, L.G., and Douligeris, C., 1991. Fairness in network optimal flow control: optimality of product forms. IEEE Transactions on Communications, 39 (5), 775-782.
29. Melski, A., et al., 2007. Beyond EPC - insights from multiple RFID case studies on the storage of additional data on tag. In: Proceedings of the international conference on wireless algorithms, systems and applications (WASA2007), 1-3 August 2007, Chicago, IL, 281-286.
30. Nicholson, M. and Monahan, B., 1999. High temperature RFID tag. US patent application 5973599 (26 October 1999).
31. Piplani, R. and Talavage, J., 1997. An integrated approach to multi-criteria design and control of manufacturing systems using simulation and goal-regression. International Journal of Production Research, 35 (12), 3433-3446.
32. Raheja, D., et al., 2006. Data fusion/data mining-based architecture for condition-based maintenance. International Journal of Production Research, 44 (14), 2869-2887.
33. Ramudhin, A., et al., 2008. A generic framework to support the selection of an RFID-based control system with application to the MRO activities of an aircraft engine manufacturer. Production Planning & Control, 19 (2), 183-196.
34. Ro, I.K. and Kim, J.I., 1990. Multi-criteria operational control rules in flexible manufacturing systems (FMSs). International Journal of Production Research, 28 (1), 47-63.
35. Sawik, T., 2007. Multi-objective master production scheduling in make-to-order manufacturing. International Journal of Production Research, 45 (12), 2429-2453.
36. Simchi-Levi, D., Kaminski, P., and Simchi-Levi, E., 2002. Designing and managing the supply chain: concepts, strategies, and case studies. New York: Irwin McGraw-Hill.
37. Stanfield, P., et al., 2007. An adaptable agent architecture to support life cycle management using automated identification technologies. In: Proceedings of the 17th international conference on flexible automation and intelligent manufacturing, FAIM 2007(1), 18-20 June 2007, Philadelphia, PA, 597-604.
38. Stefanescu, A. and Stefanescu, M.V., 1984. The arbitrated solution for multi-objective convex programming. Revue Roumaine de Mathematiques Pures et Appliquees, 29 (7), 593-598.
39. Straffin, P.D., 1993. Game theory and strategy. Washington, DC: The Mathematical Association of America. Available from: http://books.google.com/ books?hl=en&lr=&id=3TB3m3RvAlcC& oi=fnd&pg=PP11&dq=Straffin, +P.+D.+1993.+Game+Theory+and+Strategy&ots= hUEhPPQeNe&sig= vgV69ZGMnPT9Z7mXHZx1vPfED68 [Accessed 9 September 2008].
40. Suresh, N.C. and Slomp, J., 2001. A multi-objective procedure for labour assignments and grouping in capacitated cell formation problems. International Journal of Production Research, 39 (13), 4103-4131.
41. Tanner, G.F. and Crawford, J.A., 2003. An integrated engine health monitoring system for gas turbine aero-engines. IEE seminar on 'Aircraft airborne condition monitoring' (ref. no. 2003/ 10203), volume 2003, issue 10203, pages 5/1-5/12.
42. Tomlingson, P.D., 2005. Maintenance information: value added? Engineering and Mining Journal [online]. Available from: http://findarticles.com/p/ articles/mi-qa5382/is-200510/ai- n21382166/pg-1?tag=artBody;col1 [Accessed 23 June 2008].
43. Vieira, G.E. and Ribas, P.C., 2004. A new multi-objective optimization method for master production scheduling problems using simulated annealing. International Journal of Production Research, 42 (17), 4609-4622.
44. Viswanathan, S, Widiarta, H., and Piplani, R, 2007. Value of information exchange and synchronization in a multi-tier supply chain. International Journal of Production Research, 45 (21), 5057-5074.
45. Walls, M.R., Thomas, M.E., and Brady, T.F., 1999. Improving system maintenance decisions: A value of information framework [online]. Available from: http://findarticles.com/p/articles/ mi-qa3621/is-199901/ai-n8846996/pg-1? tag=artBody;col1 [Accessed 7 July 2008].
46. Yasuda, K., Hu, L., and Yin, Y., 2005. A grouping genetic algorithm for the multi-objective cell formation problem. International Journal of Production Research, 43 (4), 829-853.
47. Zaharudin, A.A., et al., 2002. The intelligent product driven supply chain. In: Proceedings of the IEEE international conference on systems, vol.4, 6-9 October 2002, Hammamet, Tunisia, 393-398