References
- Atwater, J. B., & Chakravorty, S. (2002). A study of the utilization of capacity constrained resources in drum-buffer-rope systems. Production and Operations Management, 11, 259–273.
- Chiu, H. N., & Huang, H. L. (2003). A multi-echelon integrated JIT inventory model using the time buffer and emergency borrowing policies to deal with random delivery lead times. International Journal of Production Research, 41, 2911–2931.
- Goldratt, E. M. (1986). The goal: A process of ongoing improvement. Hudson: North River.
- Goldratt, E. M. (1990). Theory of constraints. Croton-on-Hudson, NY: North River Press.
- Goldratt, E. M., & Cox, J. (1992). The goal: A Process of ongoing improvement. Great Barrington, MA: North River Press.
- Gross, D., & Harris, C. M. (1998). Fundamentals of queuing theory. New York: Wiley.
- Hopp, W. J., & Spearman, M. L. (2000). Factory physics, 2nd ed. New York, NY: Irwin/McGraw-Hill.
- Jiang, X., Wu, H., Tsai, T. &Hu, H. (2013). Diverse replenishment frequency model for TOC supply chain replenishment systems with capacity constraints. International Journal of Modelling, Identification and Control, 19, 248–256.
- Kimura, T. (1986). A two-moment approximation for the mean waiting time in the GI/G/s queue. Management Science, 32, 751–763.
- Kleinrock, L. (1976). Queuing systems, Vol. II: Theory. New York: Wiley.
- Louw, L., & Page, D. C. (2004). Queuing network analysis approach for estimating the sizes of the time buffers in Theory of Constraints-controlled production systems. International Journal of Production Research, 42, 1207–1226.
- Naor, M., Bernardes, E. S., & Coman, A. (2013). Theory of constraints: Is it a theory and a good one? International Journal of Production Research, 51, 542–554.
- Radovilsky, Z. D. (1998). A quantitative approach to estimate the size of the time buffers in the theory of constraints. International Journal of Production Economics, 55, 113–119.
- Rahman, S. (1998). Theory of constraints: A review of the philosophy and its applications. International Journal of Operations & Production Management, 18, 336–355.
- Rahman, S. (2002). The theory of constraints' thinking process approach to developing strategies in supply chains. International Journal of Physical Distribution & Logistics Management, 32, 809–828.
- Sakasegawa, H. (1977). An approximate formula Lq = αβ ρ / (1 – ρ). Annals of the Institute of Statistics and Mathematics, 29, 67–75.
- Seelan, L.P. and Tilms, H. (1984). Approximations for the conditional waiting times in GI/G/c queue. Operations Research Letters, 3, 183–190.
- Shore, H. (2006). Control charts for the queue length in a G/G/S system. IIE Transactions, 38, 1117–1130.
- Siha, S. (1999). A classified model for applying the theory of constraints to service organisations. Managing Service Quality, 9, 255–264.
- Srikanth, M. L., & Umble, M. M. (1997). Synchronous management: Profit based manufacturing for the 21st century, 1, 235–298.
- Srinivasan, M. M. (2011). Building lean supply chains with the theory of constraints. New York, NY: McGraw Hill.
- Tu, Y. M., & Li, R. K. (1998). Constraint time buffer determination model. International Journal of Production Research, 36, 1091–1103.
- Whitt, W. (1989). Planning queuing simulations. Management Science, 11, 1341–1366.
- Whitt, W. (1993). Approximations for the GI/G/m queue. Production and Operations Management, 2, 114–161.
- Whitt, W. (2004). A diffusion approximation for the GI/G/n/m queue. Operations Research, 52, 922–941.
- Womack, J. P., & Jones, D. T. (1996). Lean thinking. New York: Simon & Schuster.
- Wu, H. H., Lee, A. H., & Tsai, T. P. (2014). A two-level replenishment frequency model for TOC supply chain replenishment systems under capacity constraint. Computers & Industrial Engineering, 72, 152–159.
- Ye, T., & Han, W. (2008). Determination of buffer sizes for drum–buffer–rope (DBR)-controlled production systems. International Journal of Production Research, 46, 2827–2844.