Takt Time Grouping: implementing kanban-flow manufacturing in an unbalanced, high variation cycle-time process with moving constraints

References

• Black, J. T. 2007. “Design Rules for Implementing the Toyota Production System.” International Journal of Production Research 45 (16): 3639–3664.10.1080/00207540701223469
   Web of Science ®Google Scholar
• Boysen, N., M. Fliedner, and A. Scholl. 2009. “Level Scheduling of Mixed-model Assembly Lines under Storage Constraints.” International Journal of Production Research 47 (10): 2669–2684.10.1080/00207540701725067
   Web of Science ®Google Scholar
• Chakravorty, S., and J. Atwater. 1996. “A Comparative Study of Line Design Approaches for Serial Production Systems.” International Journal of Operations & Production Management 16 (6): 91–108.10.1108/01443579610119117
   Web of Science ®Google Scholar
• Chen, C.-L., and C.-L. Chen. 2009. “A Bottleneck-based Heuristic for Minimizing Makespan in a Flexible Flow Line with Unrelated Parallel Machines.” Computers & Operations Research 36: 3073–3081.
   Web of Science ®Google Scholar
• Cook, D. 1994. “A Simulation Comparison of Traditional, JIT, and TOC Manufacturing Systems in a Flow Shop with Bottlenecks.” Production and Inventory Management Journal 35 (1): 73–78.
   Google Scholar
• Costanza, J. 1996. Quantum Leap in Speed to Market: Demand Flow Technology & Business Strategy. 3rd ed. Boulder, CO: JCIT.
   Google Scholar
• Georgiadis, P., and A. Poitou. 2013. “Dynamic Drum-buffer-rope Approach for Production Planning and Control in Capacitated Flow-shop Manufacturing Systems.” Computers & Industrial Engineering 65: 689–703.
   Web of Science ®Google Scholar
• Goldratt, E., and J. Cox. 1986. The Goal. Revised ed. New York: North River Press.
   Google Scholar
• Gung, R., and H. Steudel. 1999. “A Workload Balancing Model for Determining Set-up Time and Batch Size Reductions in GT Flow Line Workcells.” International Journal of Production Research 37 (4): 769–791.10.1080/002075499191517
   Web of Science ®Google Scholar
• Gupta, M., and D. Snyder. 2009. “Comparing TOC with MRP and JIT: A Literature Review.” International Journal of Production Research 47 (13): 3705–3739.10.1080/00207540701636322
   Web of Science ®Google Scholar
• Hadas, L., P. Cyplik, and M. Fertsch. 2009. “Method of Buffering Critical Resources in Make-to-order Shop Floor Control in Manufacturing Complex Products.” International Journal of Production Research 47 (8): 2125–2139.10.1080/00207540802572582
   Web of Science ®Google Scholar
• Hilmola, O. 2004. “Transfer Batch Sizes and the Financial Performance of Manufacturing? Theory of Constraints Perspective.” International Journal of Manufacturing Technology and Management 6 (1/2): 125–136.10.1504/IJMTM.2004.004511
   Google Scholar
• Hurley, S., and D. Clay Whybark. 1999. “Inventory and Capacity Trade-offs in a Manufacturing Cell.” International Journal of Production Economics 59 (1–3): 203–212.10.1016/S0925-5273(98)00101-7
   Web of Science ®Google Scholar
• Jacobs, F. R., and D. J. Bragg. 1988. “Repetitive Lots: Flow-time Reductions Through Sequencing and Dynamic Batch Sizing.” Decision Sciences 19 (2): 281–294.10.1111/deci.1988.19.issue-2
   Web of Science ®Google Scholar
• Kropp, D. H., and T. L. Smunt. 1990. “Optimal and Heuristic Models for Lot Splitting in a Flow Shop.” Decision Sciences 21 (4): 691–709.10.1111/deci.1990.21.issue-4
   Web of Science ®Google Scholar
• Lambrecht, M., and L. Decaluwe. 1988. “JIT and Constraint Theory: The Issue of Bottleneck Management.” Production and Inventory Management Journal 29 (3): 61–66.
   Google Scholar
• Lambrecht, M., and A. Segaert. 1990. “Buffer Stock Allocation in Serial and Assembly Type of Production Lines.” International Journal of Operations & Production Management 10 (2): 47–61.10.1108/01443579010000736
   Google Scholar
• Louw, L., and D. Page. 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 (6): 1207–1226.10.1080/2007540310001631593
   Web of Science ®Google Scholar
• Marsh, R. F., S. M. Shafer, and J. R. Meredith. 1999. “A Comparison of Cellular Manufacturing Research Presumptions with Practice.” International Journal of Production Research 37 (14): 3119–3138.10.1080/002075499190202
   Web of Science ®Google Scholar
• Monden, Y. 1998. Toyota Production System: An Integrated Approach to Just-in-time. 4th ed. Boca Raton, FL: CRS Press.
   Google Scholar
• Plenert, G. 1993. “Optimizing Theory of Constraints When Multiple Constrained Resources Exist.” European Journal of Operational Research 70: 126–133.10.1016/0377-2217(93)90237-H
   Web of Science ®Google Scholar
• Raban, S., and R. Nagel. 1991. “Constraint-based Control of Flexible Flow Lines.” International Journal of Production Research 29 (10): 1941–1951.10.1080/00207549108948059
   Web of Science ®Google Scholar
• Radovilsky, Z. 1998. “A Quantitative Approach to Estimate the Size of the Time Buffer in the Theory of Constraints.” International Journal of Production Economics 55: 113–119.10.1016/S0925-5273(97)00131-X
   Web of Science ®Google Scholar
• Reiter, S. 1966. “A System for Managing Job-shop Production.” The Journal of Business 39 (3): 371–393.10.1086/jb.1966.39.issue-3
   Web of Science ®Google Scholar
• Ronen, B., and M. Starr. 1990. “Synchronized Manufacturing as in OPT: From Practice to Theory.” Computers & Industrial Engineering 18 (4): 585–600.10.1016/0360-8352(90)90017-G
   Web of Science ®Google Scholar
• Russell, G. R., and T. D. Fry. 1997. “Order Review/Release and Lot Splitting in Drum-buffer-rope.” International Journal of Production Research 35 (3): 827–845.10.1080/002075497195731
   Web of Science ®Google Scholar
• Schonberger, R. 2001. “Kanban – Automatic Constraints Manager.” Journal of Corporate Accounting and Finance 11 (4): 73–76.
   Google Scholar
• Schragenheim, E., and B. Ronen. 1990. “Drum-buffer-rope Show Floor Control.” Production and Inventory Management Journal 31: 18–22.
   Google Scholar
• Sirikrai, V., and P. Yenradee. 2006. “Modified Drum-buffer-rope Scheduling Mechanism for a Non-identical Parallel Machine Flow Shop with Processing-time Variation.” International Journal of Production Research 44 (17): 3509–3531.10.1080/00207540600584805
   Web of Science ®Google Scholar
• Spearman, M., D. Woodruff, and W. Hopp. 1990. “CONWIP: A Pull Alternative to Kanban.” International Journal of Production Research 28 (5): 879–894.10.1080/00207549008942761
   Web of Science ®Google Scholar
• Takahashi, K., K. Morikawa, and Y. C. Chen. 2007. “Comparing Kanban Control with the Theory of Constraints Using Markov Chains.” International Journal of Production Research 45 (16): 3599–3617.10.1080/00207540701228153
   Web of Science ®Google Scholar
• Womack, J., and D. Jones. 1996. Lean Thinking. 1st ed. New York: Simon & Schuster. 50–89.
   Google Scholar
• Wu, H.-H., and M.-L. Yeh. 2006. “A DBR Scheduling Method for Manufacturing Environments with Bottleneck Re-entrant Flows.” International Journal of Production Research 44 (5): 883–902.10.1080/00207540500362187
   Web of Science ®Google Scholar
• Yavuz, I. H., and A. Satir. 1995. “A Kanban-based Simulation Study of a Mixed Model Just-in-time Manufacturing Line.” International Journal of Production Research 33 (4): 1027–1048.10.1080/00207549508930192
   Web of Science ®Google Scholar