The research results of the NSF-sponsored ERC/RMS were published in 1700 papers during the years 1997 to 2008. Below is a list of 36 selected publications arranged by four categories: Systems (Design & Operations), Controls, Inspection & Sensing, and Machines. 

• Systems
• Controls
• Inspection & Sensing
• Machines

Systems

 2. Reconfigurable Manufacturing Systems: Key to Future Manufacturing. Mehrabi, M.G., Ulsoy, A.G., Koren, Y., 2000,  J. of Intelligent Manufacturing, Vol. 11, No. 4, pp 403-419. [Also published in the Proc. of the Japan-USA Symposium on Flexible Automation, Otsu, Japan, July 1998]. Cited by 210.

 3. State Space Modeling of Sheet Metal Assembly for Dimensional Control. Jin, J. and Shi, J., ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 121, Nov. 1999, pp 756-762. Cited by 125.

4. Stream-of-Variation Theory for Automotive Body Assembly.  Hu, SJ, - Annals of the CRIP, Vol. 46/1, pp. 1--6, 1997. Cited by 92. 

5.  Fault Diagnosis of Multistage Manufacturing Processes by using State Space Approach. Ding, Y., Ceglarek, D., Shi, J., 2002,  ASME Trans., Journal of Manufacturing Science and Engineering, Vol. 124, No. 2, pp. 313-322. Cited by 75. 

6. Impact of Manufacturing System Configuration on Performance. Koren, Y., Hu, SJ., Weber, TW. - CIRP Annals, Vol. 1., pp. 689-698, 1998.  Abstract: Traditional manufacturing systems for medium and high volume production are designed as serial lines. That is, machines are linked together one after another with.... Cited by 70.

7. Modeling Variation Propagation in Multi-Station Assembly Systems with Compliant Parts. Cameliio, J., Hu, SJ., Ceglarek, D. ASME Journal of Mechanical Design. Volume 125, Issue 4, December. pp. 673-681.  Cited by 66.

 8. Diagnosability Analysis of Multi-Station Manufacturing Processes. Ding, Y., Shi, J., Dariusz, C., 2002, Journal of Dynamic Systems, Measurement and Control, Vol. 124, pp. 1-13, 2002 - Variation propagation in a multi-station manufacturing process (MMP) is described by the theory of "Stream of Variation."  Cited by 53.

9. Linear State Space Modeling of Dimensional Machining Errors. Djurdjanovic, D., Ni, J. Transactions of NAMRI/SME, Vol. 29, pp. 541-548, 2001, Cited by 45.

10. State Space Modeling for Dimensional Monitoring of Multistage Machining Process Using Differential Motion Vector. Zhou, S., Huang, Q., and Shi, J., 2003, IEEE Transactions on Robotics and Automation, Vol. 19, pp. 296-309. Cited by 33.

11.  Analysis of a System of Linear Delay Differential Equations. Asl, F., Ulsoy, A.G. Journal of Dynamic Systems, Measurement and Control, Vol. 125, No. 2, pp. 215-223, June 2003. Cited by 28.

12.  Capacity Management in Reconfigurable Manufacturing Systems with Stochastic Market Demand. Asl, F.M., Ulsoy, A.G. ASME IMECE, New Orleans, November 2002.  Cited by 17.

13. Optimal Portfolio of Reconfigurable and Dedicated Capacity Under Uncertainty. Narongwanich, W., Duenyas, I., Birge, J.R.  Users.iems.northwestern.edu.  Preprint, 2003. Cited by 9. 

14. Integration of Maintenance and Reconfigurable Operations for Cost-Effective Maintenance in Reconfigurable Manufacturing Systems. Zhou, J., Djurdhabivuc, J., Simmmons-Ivy, J., Ni, J. IEE Transactions on Quality and Reliability Engineering, Vol. 39, No. 12, pp.1085-1102. Cited by 1. 

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Controls

15. Performance Evaluation of Control Networks: Ethernet, ControlNet, and DeviceNet. Lian, F.-L., Moyne, J.R., Tilbury, D.M., 2001 to appear in IEEE Control Systems Magazine, 2001. Cited by 291.

16. Network Design Consideration for Distributed Control Systems. Lian, F.L., Moyne, J., Tilbury, D. IEEE Transactions on Control Systems Technology, 10(2), pp. 297-307, March 2002.  Cited by 174.

17. Trading Computation for Bandwidth:  Reducing Communication in Distributed Control Systems using State Estimators. Yook, J.K., Tilbury, D.M., Soparkar, N.R. IEEE Transactions on Control Systems Technology, Vol. 10, No. 4, pp. 503-517, July 2002. Cited by 96.

18. Real-Time Open Control Architectures and System Performance.  Koren, Y., Pasek, Z.J., Ulsoy, A.G., Benchetrit, U., 1996, Annals of the CIRP, Vol. 45, No. 1, pp 377-380, 1996. Cited by 49.

19. Formal Verification for Analysis and Design of Logic Controllers for Reconfigurable Machining. Kalita, D., Khargonekar, P.P. IEEE Transactions on Robotics and Automation, 2002 - ieeexplore.iee.org.  Cited by 12.

20. Control of Reconfigurable Machine Tool.  Katz, R., Yook, J., Koren, Y. ASME Transactions, Journal Dynamic Systems, Measurement and Control, 2004.  Cited by 1. 

Inspection & Sensing

21. Multisensor Process Performance Assessment Through use of Autoregressive Modeling and Feature Maps. Casoetto, N., Djurdjanovic, D., Mayor, R., Ni, J., Lee, J. Journal of Manufacturing Systems, 2003.  Cited by 22. 

22. Hidden Markov Model-based Tool Wear Monitoring in Turning. Wang, L., Mehrabi, M., Kannatey-Asibu Jr., E. Journal of Manufacturing Science and Engineering, Vol. 124, pp. 651-658, 2002.  Cited by 25.

23. Stream of Variation Based Analysis and Synthesis of Measurement Schemes in Multi-Station Machining.  Djurdjanovic, D., Ni, J. Proceedings ASME Manufacturing Engineering. New York, 2001. Cited by 13.

24. Measurement Scheme Synthesis in Multi-Station Machining Systems. Djurdjanovic, D., Ni, J. Transactions of ASME Journal of Manufacturing Science and Engineering, Vol. 126, No. 1, p. 178-189, 2004. Cited by 11. 

25. Reconfigurable Apparatus and Method for Inspection During a Manufacturing Process. Koren, Y., Katz, R. US Patent 6,567,162, 2003 - freepatentsonnline.com. Cited by 9.

26. Integration of Reconfigurable Inspection  with Stream of Variation Methodology. Barhak, J., Djurdjanovic, D., Spicer, J., Katz, R. International Journal of Machine Tools and Manufacture, Vol. 45, pp. 407-419, 2005. Cited by 8. 

27. Tool wear monitoring in reconfigurable machining systems through Wavelet analysis. Wang, L., Mehrabi, M.G., Kannatey-Asibu, Jr, E., 2001,Transactions of NAMRI, Vol. 29, pp. 399-406. Cited by 5. 

28. Rapid Inspection and Error Tracing Methodology for Machining Production Lines. Katz, R., Zuteck, M. G., Koren, Y. Proceedings of the 3rd CIRP International Seminar on..., Naples, Italy, July 2002. Cited by 5. 

29. A Method for Sensor Selection in Reconfigurable Process Monitoring. Wang, L., M.G. Mehrabi, and E. Kannatey-Asibu, Jr.  ASME Journal of Manufacturing Science and Engineering, Vol. 125, pp. 95-99, 2003. Cited by 2.

30. Measurement Techniques for the Inspection of Porosity Flaws on Machined Surfaces.  Steiner, D., Katz, R. Journal of Computing and Information Science in Engineering, Vol. 7, p. 85,, 2007 - link.aip.org. Cited by 2.  

Machines

 31. Reconfigurable Machine Tools.  Landers, R.G., Min, B.K., Koren, Y. CIRP Annals - Vol. 49, NNo. 1, pp. 269-274, 2001. Cited by 58.

32. Generalized Kinematic Modeling of Reconfigurable Machine Tools. Moon, Y.M., Kota, S. ASME Transactions, Journal of Mechanical Design, 2002. Vol. 124:11, pp. 47-51, March 2002.  Cited by 47.

33. Design of Reconfigurable Machine Tools.  Moon, Y.K., Kota, S. Transactions of the ASME, Journal of Manufacturing Science and Engineering, Vol. 124:22, pp. 480-483, May 2002. Cited by 47.

34. Reconfigurable Machine Tool.  Koren, Y., Kota, S. US Patent 5,943,750, 1999. Cited by 28.

35. Design of an Experimental Reconfigurable Machine Tool. Katz, R., Chung, H. Japan - USA Symposium on Flexible Automation, Ann Arbor, Michigan, July 2000. Cited by 7.

36. Design Principles of Reconfigurable Machines. Katz, R. The International Journal of Advanced Manufacturing...., 2007, Springer.  NSF Engineering Research Center for Reconfigurable Manufacturing Systems, University of Michigan, Ann Arbor, Michigan. Cited by 7.