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Original Articles

Performance analysis of unreliable manufacturing systems with uncertain reliability parameters estimated from production data

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Pages 875-889 | Received 30 Mar 2018, Accepted 06 Jun 2019, Published online: 21 Jul 2019

References

  • Amiri, M., and A. Mohtashami. 2012. “Buffer Allocation in Unreliable Production Lines Based on Design of Experiments, Simulation, and Genetic Algorithm.” International Journal of Advanced Manufacturing Technology 62 (1–4): 371–383. doi:10.1007/s00170-011-3802-8.
  • Assunção, M. D., R. N. Calheiros, S. Bianchi, M. A. Netto, and R. Buyya. 2015. “Big Data Computing and Clouds: Trends and Future Directions.” Journal of Parallel and Distributed Computing 79–80: 3–15. doi:10.1016/j.jpdc.2014.08.003.
  • Binh, P. T. T., and D. Khoa 2006. “Application of Fuzzy Markov in Calculating Reliability of Power Systems.” Transmission & Distribution Conference and Exposition: Latin America, 1–4. Caracas, Venezuela.
  • Blischke, W. R., and D. P. Murthy, Eds. 2003. Case Studies in Reliability and Maintenance. Vol. 480. Hoboken, New Jersey: John Wiley & Sons.
  • Burman, M. H. 1995. New results in flow line analysis. Doctoral dissertation, Massachusetts Institute of Technology, pp 1–212.
  • Chryssolouris, G., D. Mavrikios, N. Papakostas, D. Mourtzis, G. Michalos, and K. Georgoulias. 2009. “Digital Manufacturing: History, Perspectives, and Outlook. Proceedings of the Institution of Mechanical Engineers.” Part B: Journal of Engineering Manufacture 223 (5): 451–462.
  • Colledani, M., M. Ekvall, T. Lundholm, P. Moriggi, A. Polato, and T. Tolio. 2010. “Analytical Methods to Support Continuous Improvements at Scania.” International Journal of Production Research 48 (7): 1913–1945. doi:10.1080/00207540802538039.
  • Colledani, M., G. Pedrielli, W. Terkaj, and M. Urgo. 2013. “Integrated Virtual Platform for Manufacturing Systems Design.” Procedia CIRP 7: 425–430. doi:10.1016/j.procir.2013.06.010.
  • Colledani, M., A. Ratti, and C. Senanayake. 2015. “An Approximate Analytical Method to Evaluate the Performance of Multi-product Assembly Manufacturing Systems.” Procedia CIRP 33: 357–363. doi:10.1016/j.procir.2015.06.082.
  • Colledani, M., and T. Tolio. 2005. “A Decomposition Method to Support the Configuration/Reconfiguration of Production Systems.” CIRP Annals - Manufacturing Technology 54 (1): 441–444. doi:10.1016/S0007-8506(07)60140-1.
  • Colledani, M., T. Tolio, A. Fischer, B. Iung, G. Lanza, R. Schmitt, and J. Váncza. 2014. “Design and Management of Manufacturing Systems for Production Quality.” CIRP Annals - Manufacturing Technology 63 (2): 773–796. doi:10.1016/j.cirp.2014.05.002.
  • Fowler, J. W., and O. Rose. 2004. “Grand Challenges in Modeling and Simulation of Complex Manufacturing Systems.” Simulation 8 (9): 469–476. doi:10.1177/0037549704044324.
  • Gelman, A., J. B. Carlin, H. S. Stern, D. B. Dunson, A. Vehtari, and D. B. Rubin. 2014. Bayesian Data Analysis. Vol. 2. Boca Raton, FL: CRC press.
  • Gershwin, S. B. 1987. “An Efficient Decomposition Method for the Approximate Evaluation of Tandem Queues with Finite Storage Space and Blocking.” Operations Research 35 (2): 291–305. doi:10.1287/opre.35.2.291.
  • Gershwin, S. B. 1994. Manufacturing Systems Engineering. Englewood Cliffs, NJ: PTR Prentice Hall.
  • Inman, R. R. 1999. “Empirical Evaluation of Exponential and Independence Assumptions in Queueing Models of Manufacturing Systems.” Production and Operations Management 8 (4): 409–432. doi:10.1111/j.1937-5956.1999.tb00316.x.
  • Jahangirian, M., T. Eldabi, A. Naseer, L. K. Stergioulas, and T. Young. 2010. “Simulation in Manufacturing and Business: A Review.” European Journal of Operational Research 203 (1): 1–13. doi:10.1016/j.ejor.2009.06.004.
  • Koh, S. L., and A. Gunasekaran. 2006. “A Knowledge Management Approach for Managing Uncertainty in Manufacturing.” Industrial Management & Data Systems 106 (4): 439–459. doi:10.1108/02635570610661561.
  • Koren, Y., W. Wang, and X. Gu. 2017. “Value Creation through Design for Scalability of Reconfigurable Manufacturing Systems.” International Journal of Production Research 55 (5): 1227–1242. doi:10.1080/00207543.2016.1145821.
  • Kumar, K., J. Singh, and P. Kumar. 2009. “Fuzzy Reliability and Fuzzy Availability of the Serial Process in Butter-oil Processing Plant.” Journal of Mathematics and Statistics 5 (1): 65–71. doi:10.3844/jmssp.2009.65.71.
  • Lata, S., and A. Kumar. 2012. “A New Method to Solve Time-dependent Intuitionistic Fuzzy Differential Equations and Its Application to Analyze the Intuitionistic Fuzzy Reliability of Industrial Systems.” Concurrent Engineering Research and Applications 20 (3): 177–184. doi:10.1177/1063293X12453145.
  • Lee, H., and A. Banerjee 2009. “Modeling and Representation of Manufacturing Process with Uncertainties Using Parametric Modular Design and xPNML.” In Collaborative Technologies and Systems, 2009. CTS’09. International Symposium on, 512–519. Baltimore, Maryland, United States.
  • Lee, J., B. Bagheri, and H. A. Kao. 2015. “A Cyber-Physical Systems Architecture for Industry 4.0-based Manufacturing Systems.” Manufacturing Letters 3: 18–23. doi:10.1016/j.mfglet.2014.12.001.
  • Leondes, C. T., Ed. 2003. Computer Aided and Integrated Manufacturing Systems: Manufacturing Processes, 5 Toh Tuck Link, Singapore: World Scientific.
  • Levantesi, R., A. Matta, and T. Tolio. 2003. “Performance Evaluation of Continuous Production Lines with Machines Having Different Processing Times and Multiple Failure Modes.” Performance Evaluation 51 (2–4): 247–268. doi:10.1016/S0166-5316(02)00098-6.
  • Li, L., Q. Chang, and J. Ni. 2009. “Data Driven Bottleneck Detection of Manufacturing Systems.” International Journal of Production Research 47 (18): 5019–5036. doi:10.1080/00207540701881860.
  • Lin, L., and J. Ni. 2008. “Reliability Estimation Based on Operational Data of Manufacturing Systems.” Quality and Reliability Engineering International 24 (7): 843–854. doi:10.1002/qre.v24:7.
  • Liu, Y., and H. Z. Huang. 2010. “Reliability Assessment for Fuzzy Multi-state Systems.” International Journal of Systems Science 41 (4): 365–379. doi:10.1080/00207720903042939.
  • McFarland, J. M., and B. J. Bichon 2009. “Bayesian Model Averaging for Reliability Analysis with Probability Distribution Model Form Uncertainty.” Proceedings of the 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Vol. 430, 1253–1265. Palm Springs, CA.
  • Nandagawe, S., and S. P. Sarmah. 2009. “Development and Application of a Simulation Model for Throughput Improvement in the Melting Shop of a Steel Plant.” International Journal of Operational Research 6 (2): 267–281. doi:10.1504/IJOR.2009.026538.
  • Negahban, A., and J. S. Smith. 2014. “Simulation for Manufacturing System Design and Operation: Literature Review and Analysis.” Journal of Manufacturing Systems 33 (2): 241–261. doi:10.1016/j.jmsy.2013.12.007.
  • Ni, J., X. Jin, and Y. Koren. 2012. “Decision Support Systems for Effective Maintenance Operations.” CIRP Annals-Manufacturing Technology 61 (1): 411–414. doi:10.1016/j.cirp.2012.03.065.
  • Nylund, H., and P. H. Andersson. 2009. “Digital Manufacturing Supporting Autonomy and Collaboration of Manufacturing Systems.” In Manufacturing System, edited by F. A. Aziz, 261–284. Croatia: InTech.
  • Park, I., H. K. Amarchinta, and R. V. Grandhi. 2010. “A Bayesian Approach for Quantification of Model Uncertainty.” Reliability Engineering & System Safety 95 (7): 777–785. doi:10.1016/j.ress.2010.02.015.
  • Plehn, C., F. Stein, R. De Neufville, and G. Reinhart. 2016. “Assessing the Impact of Changes and Their Knock-on Effects in Manufacturing Systems.” Procedia CIRP 57: 479–486. doi:10.1016/j.procir.2016.11.083.
  • Tako, A. A., and S. Robinson. 2012. “The Application of Discrete Event Simulation and System Dynamics in the Logistics and Supply Chain Context.” Decision Support Systems 52 (4): 802–815. doi:10.1016/j.dss.2011.11.015.
  • Terkaj, W., T. Tolio, and A. Valente. 2009. Design of Focused Flexibility Manufacturing Systems (FFMSs). Design of Flexible Production Systems, 37–190. Heidelberg, Germany: Springer.
  • Tolio, T., A. Matta, and S. B. Gershwin. 2002. “Analysis of Two-machine Lines with Multiple Failure Modes.” IIE Transactions 34 (1): 51–62. doi:10.1080/07408170208928849.
  • Wenzel, S., and T. Peter. 2013. Approaching the Reduction of Uncertainty in Production System Design through Discrete-Event Simulation.  Kassel, Germany: Kassel university press GmbH.
  • Xu, T., D. H. Moon, and S. G. Baek. 2012. “A Simulation Study Integrated with Analytic Hierarchy Process (AHP) in an Automotive Manufacturing System.” Simulation 88 (4): 450–463. doi:10.1177/0037549711407781.

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