How to cite this paper
Khan, S & Standridge, C. (2019). Aggregate simulation modeling with application to setting the CONWIP limit in a HMLV manufacturing cell.International Journal of Industrial Engineering Computations , 10(2), 149-160.
Refrences
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Braglia, M., Frosolini, M., Gabbrielli, R., & Zammori, F. (2011). CONWIP card setting in a flow-shop system with a batch production machine. International Journal of Industrial Engineering Computations, 2(1), 1-18.
Detty, R. B., & Yingling, J. C. (2000). Quantifying benefits of conversion to lean manufacturing with discrete event simulation: a case study. International Journal of Production Research. 38(2), 429-445.
Devore, J. L. (2015). Probability and statistics for engineering and the sciences, 9th . Boston: Cengage Learning.
Etman, L. F. P., Veeger, C. P. L., Lefeber, E., Adan, I. J., & Rooda, J. E. (2011, December). Aggregate modeling of semiconductor equipment using effective process times. In Simulation Conference (WSC), Proceedings of the 2011 Winter (pp. 1790-1802). IEEE.
Hopp, W. J. & Spearman, M. L. (2011). Factory physics: foundations of manufacturing management, 3rd edition. Long Grove, IL : Waveland Press.
Kingman, J. F. C. (1961). The single server queue in heavy traffic. Mathematical Proceedings of the Cambridge Philosophical Society, 57(4), 902
Law, A. M. (2014). Simulation Modeling and Analysis, 5th ed. New York : McGraw-Hill.
Little, J. D. C. (1961). A Proof for the queuing formula: L = λW. Operations Research, 9(3), 383–387.
Maas, M., & Standridge, C. R. (2015). Reducing lead times in a two-process cell using lean and simulation. Research Journal of Applied Sciences, Engineering, and Technology, 10(1), 15-21.
Matt, D. T. (2014). Adaptation of the value stream mapping approach to the design of lean engineer-to-order production systems: a case study. Journal of Manufacturing Technology Management, 25(3), 334-350.
Marvel, J. H. & Standridge, C. R. (2009). A simulation enhanced lean design process. Journal of Industrial Engineering and Management, 2(1), 90-113.
Miller, G., Pawloski, J., & Standridge, C.R. (2010). A case study of lean, sustainable manufacturing. Journal of Industrial Engineering and Management, 3(1), 11-32.
Pergher, I., & Vaccaro, G. L. R. (2014). Work in process level definition: a method based on computer simulation and electre tri. Production, 24(3), 536-547.
Romagnoli, G. (2015). Design and simulation of CONWIP in the complex flexible job shop of a Make-To-Order manufacturing firm. International Journal of Industrial Engineering Computations, 6(1), 117-134.
Sargent, R. G. (2013). Verification and validation of simulation models. Journal of simulation, 7(1), 12-24.
Spearman, M.L., Woodruff, D.L., & Hopp, W.J. (1990). CONWIP: A pull alternative to Kanban. International Journal of Production Research, 28(5), 879-894.
Suri, R. (2010). It’s about time. New York: CRC Press.
Suri, R. (2018). The Practitioner's Guide to POLCA. New York: CRC Press.
Wright, D. & Standridge, C. R. (2016). A case study of lead time reduction by transformation to cellular production. IOSR Journal of Engineering, 6(2), 53-58.
Braglia, M., Frosolini, M., Gabbrielli, R., & Zammori, F. (2011). CONWIP card setting in a flow-shop system with a batch production machine. International Journal of Industrial Engineering Computations, 2(1), 1-18.
Detty, R. B., & Yingling, J. C. (2000). Quantifying benefits of conversion to lean manufacturing with discrete event simulation: a case study. International Journal of Production Research. 38(2), 429-445.
Devore, J. L. (2015). Probability and statistics for engineering and the sciences, 9th . Boston: Cengage Learning.
Etman, L. F. P., Veeger, C. P. L., Lefeber, E., Adan, I. J., & Rooda, J. E. (2011, December). Aggregate modeling of semiconductor equipment using effective process times. In Simulation Conference (WSC), Proceedings of the 2011 Winter (pp. 1790-1802). IEEE.
Hopp, W. J. & Spearman, M. L. (2011). Factory physics: foundations of manufacturing management, 3rd edition. Long Grove, IL : Waveland Press.
Kingman, J. F. C. (1961). The single server queue in heavy traffic. Mathematical Proceedings of the Cambridge Philosophical Society, 57(4), 902
Law, A. M. (2014). Simulation Modeling and Analysis, 5th ed. New York : McGraw-Hill.
Little, J. D. C. (1961). A Proof for the queuing formula: L = λW. Operations Research, 9(3), 383–387.
Maas, M., & Standridge, C. R. (2015). Reducing lead times in a two-process cell using lean and simulation. Research Journal of Applied Sciences, Engineering, and Technology, 10(1), 15-21.
Matt, D. T. (2014). Adaptation of the value stream mapping approach to the design of lean engineer-to-order production systems: a case study. Journal of Manufacturing Technology Management, 25(3), 334-350.
Marvel, J. H. & Standridge, C. R. (2009). A simulation enhanced lean design process. Journal of Industrial Engineering and Management, 2(1), 90-113.
Miller, G., Pawloski, J., & Standridge, C.R. (2010). A case study of lean, sustainable manufacturing. Journal of Industrial Engineering and Management, 3(1), 11-32.
Pergher, I., & Vaccaro, G. L. R. (2014). Work in process level definition: a method based on computer simulation and electre tri. Production, 24(3), 536-547.
Romagnoli, G. (2015). Design and simulation of CONWIP in the complex flexible job shop of a Make-To-Order manufacturing firm. International Journal of Industrial Engineering Computations, 6(1), 117-134.
Sargent, R. G. (2013). Verification and validation of simulation models. Journal of simulation, 7(1), 12-24.
Spearman, M.L., Woodruff, D.L., & Hopp, W.J. (1990). CONWIP: A pull alternative to Kanban. International Journal of Production Research, 28(5), 879-894.
Suri, R. (2010). It’s about time. New York: CRC Press.
Suri, R. (2018). The Practitioner's Guide to POLCA. New York: CRC Press.
Wright, D. & Standridge, C. R. (2016). A case study of lead time reduction by transformation to cellular production. IOSR Journal of Engineering, 6(2), 53-58.