Performance comparison of multiple product kanban control systems

References

• Aghajani, M., A. Keramati, and B. Javadi. 2012. “Determination of Number of Kanban in a Cellular Manufacturing System with Considering Rework Process.” The International Journal of Advanced Manufacturing Technology 63 (9–12): 1177–1189.
   Web of Science ®Google Scholar
• Al-Hawari, T., and F. Aqlan. 2012. “A Software Application for E-Kanban-based WIP Control in the Aluminium Industry.” International Journal of Modelling in Operations Management 2 (2): 119–137.10.1504/IJMOM.2012.046336
   Google Scholar
• Ang, A. 2013. “An Investigation into the Extended Kanban Control System (EKCS).” PhD Thesis, Nanyang Technological University (NTU), Lee Wee Nam Library.
   Google Scholar
• Ang, A. 2015. “A Performance Comparison of Single Product Kanban Control Systems.” International Journal of Production Management and Engineering 3 (1): 57–74.10.4995/ijpme.2015.3038
   Web of Science ®Google Scholar
• Anupindi, R., and S. Tayur. 1998. “Managing Stochastic Multiproduct Systems: Model, Measures, and Analysis.” Operations Research 46 (3-supplement-3): S98–S111. doi:10.1287/opre.46.3.S98.
   Google Scholar
• Askin, R. G., M. G. Mitwasi, and J. B. Goldberg. 1993. “Determining the Number of Kanbans in Multi-item Jun-in-time System.” IIE Transactions 25 (1): 89–98.10.1080/07408179308964269
   Web of Science ®Google Scholar
• Baynat, B., J. A. Buzacott, and Y. Dallery. 2002. “Multiproduct Kanban-like Control Systems.” International Journal of Production Research 40 (16): 4225–4255.10.1080/00207540210146198
   Web of Science ®Google Scholar
• Bonvik, A. M., Y. Dallery, and S. B. Gershwin. 2000. “Approximate Analysis of Production Systems Operated by a CONWIP/Finite Buffer Hybrid Control Policy.” International Journal of Production Research 38 (13): 2845–2869.10.1080/00207540050117332
   Web of Science ®Google Scholar
• Boonlertvanich, K. 2005. “Extended-CONWIP-Kanban System: Control and Performance Analysis.” PhD, Georgia Tech, USA.
   Google Scholar
• Buzacott, J. A. 1989. “Queueing Models of Kanban and MRP Controlled Production Systems.” Engineering Costs and Production Economics 17 (1–4): 3–20.10.1016/0167-188X(89)90050-5
   Web of Science ®Google Scholar
• Buzacott, J. A., and J. G. Shanthikumar. 1993. Stochastic Models of Manufacturing Systems. Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Chaouiya, C., G. Liberopoulos, and Y. Dallery. 2000. “The Extended Kanban Control System for Production Coordination of Assembly Manufacturing Systems.” IIE Transactions (Institute of Industrial Engineers) 32 (10): 999–1012.
   Web of Science ®Google Scholar
• Dallery, Y. 2000. “Extended Kanban Control System: Combining Kanban and Base Stock.” IIE Transactions 32 (4): 369–386.
   Web of Science ®Google Scholar
• Deleersnyder, J.-L., T. J. Hodgson, R. E. King, P. J. O'Grady, and A. Savva. 1992. “Integrating Kanban Type Pull Systems and MRP Type Push Systems: Insights from a Markovian Model.” IIE Transactions 24 (3): 43–56.10.1080/07408179208964223
   Web of Science ®Google Scholar
• Deokar, S. S. 2004. “Performanc Evaluation of Multi-product Kanban-like Control Systems.” Unpublished Masters Thesis (MSIE), University of South Florida.
   Google Scholar
• Di Mascolo, M. 1996. “Analysis of a Synchronization Station for the Performance Evaluation of a Kanban System with a General Arrival Process of Demands.” European Journal of Operational Research 89 (1): 147–163.10.1016/S0377-2217(96)90066-1
   Web of Science ®Google Scholar
• Diaz, R., and A. Ardalan. 2010. “An Analysis of Dual-Kanban Just-in-time Systems in a Non-repetitive Environment.” Production and Operations Management 19 (2): 233–245.10.1111/poms.2010.19.issue-2
   Web of Science ®Google Scholar
• Diem, W., and W. Kimberley. 2001. “The Same Only Different.” Automotive Engineer 26 (5): 46.
   Google Scholar
• Faccio, M., M. Gamberi, and A. Persona. 2013. “Kanban Number Optimisation in a Supermarket Warehouse Feeding a Mixed-model Assembly System.” International Journal of Production Research 51 (10): 2997–3017.10.1080/00207543.2012.751516
   Web of Science ®Google Scholar
• Faccio, M., Mauro Gamberi, A. Persona, A. Regattieri, and F. Sgarbossa. 2013. “Design and Simulation of Assembly Line Feeding Systems in the Automotive Sector Using Supermarket, Kanbans and Tow Trains: A General Framework.” Journal of Management Control 24 (2): 187–208.10.1007/s00187-013-0175-1
   Google Scholar
• Fujiwara, O., X. Yue, K. Sangaradas, and H. T. Luong. 1998. “Evaluation of Performance Measures for Multi-part, Single-product Kanban Controlled Assembly Systems with Stochastic Acquisition and Production Lead times.” International Journal of Production Research 36 (5): 1427–1444.10.1080/002075498193408
   Web of Science ®Google Scholar
• Fullerton, R. R., and C. S. McWatters. 2001. “The Production Performance Benefits from JIT Implementation.” Journal of Operations Management 19 (1): 81–96.10.1016/S0272-6963(00)00051-6
   Web of Science ®Google Scholar
• Gershwin, S. B. 2000. “Design and Operation of Manufacturing Systems: The Control-point Policy.” IIE Transactions (Institute of Industrial Engineers) 32 (10): 891–906.
   Web of Science ®Google Scholar
• Gstettner, S., and H. Kuhn. 1996. “Analysis of Production Control Systems Kanban and CONWIP.” International Journal of Production Research 34 (11): 3253–3273.10.1080/00207549608905087
   Web of Science ®Google Scholar
• Gupta, S. M., Y. A. Y. Al-Turki, and R. F. Perry. 1999. “Flexible Kanban System.” International Journal of Operations & Production Management 19 (10): 1065–1093. doi:10.1108/01443579910271700.
   Web of Science ®Google Scholar
• Hopp, W. J., and M. L. Spearman. 2008. Factory Physics. 3rd ed. New York: McGraw-Hill/Irwin/Irwin.
   Google Scholar
• Kim, I., and C. S. Tang. 1997. “Lead Time and Response Time in a Pull Production Control System.” European Journal of Operational Research 101 (3): 474–485.10.1016/S0377-2217(96)00174-9
   Web of Science ®Google Scholar
• Krieg, G. N., and H. Kuhn. 2002. “A Decomposition Method for Multi-product Kanban Systems with Setup times and Lost Sales.” IIE Transactions 34 (7): 613–625.
   Web of Science ®Google Scholar
• Krieg, G. N., and H. Kuhn. 2004. “Analysis of Multi-product Kanban Systems with State-dependent Setups and Lost Sales.” Annals of Operations Research 125 (1–4): 141–166.10.1023/B:ANOR.0000011189.48656.14
   Web of Science ®Google Scholar
• Liberopoulos, G., and Y. Dallery. 2002. “Base Stock versus WIP Cap in Single-stage Make-to-stock Production-inventory Systems.” IIE Transactions 34 (7): 627.
   Web of Science ®Google Scholar
• Lin, C. J., F. F. Chen, and Y. M. Chen. 2013. “Knowledge Kanban System for Virtual Research and Development.” Robotics and Computer-Integrated Manufacturing 29 (3): 119–134.10.1016/j.rcim.2012.04.020
   Web of Science ®Google Scholar
• Lolli, F., R. Gamberini, C. Giberti, B. Rimini, and F. Bondi. 2016. “A Simulative Approach for Evaluating Alternative Feeding Scenarios in a Kanban System.” International Journal of Production Research 54 (14): 4228–4239.10.1080/00207543.2015.1117675
   Web of Science ®Google Scholar
• Monden, Y. 1998. Toyota Production System : An Integrated Approach to Just-in-time. 3rd ed. Norcross, GA: Engineering & Management Press.
   Google Scholar
• Moran, T. J., and K. Brayer. 2011. “A Simulation Study of Economic Production Quantity Lot Size to Kanban for a Single Line Production System under Various Setup times with Annual Setup Cost as Performance Metric.” International Journal of Management and Information Systems 15 (2): 23–30.
   Google Scholar
• Nori, V. S., and B. R. Sarker. 1998. “Optimum Number of Kanbans between Two Adjacent Stations.” Production Planning & Control 9 (1): 60–65.10.1080/095372898234523
   Web of Science ®Google Scholar
• Onyeocha, C. E., J. Wang, J. Khoury, and J. Geraghty. 2015. “A Comparison of HK-CONWIP and BK-CONWIP Control Strategies in a Multi-product Manufacturing System.” Operations Research Perspectives 2: 137–149.10.1016/j.orp.2015.07.001
   Web of Science ®Google Scholar
• Ross, S. M. 2007. Introduction to Probability Models. 9th ed. Amsterdam: Academic Press.
   Google Scholar
• Siha, S. 1994. “The Pull Production System: Modelling and Characteristics.” International Journal of Production Research 32 (4): 933–949.10.1080/00207549408956980
   Web of Science ®Google Scholar
• So, K. C., and S. C. Pinault. 1988. “Allocating Buffer Storages in a Pull System.” International Journal of Production Research 26 (12): 1959–1980.10.1080/00207548808948008
   Web of Science ®Google Scholar
• Spearman, M. L., D. L. Woodruff, and W. J. 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
• Sugimori, Y., K. Kusunoki, F. Cho, and S. Uchikawa. 1977. “Toyota Production System and Kanban System Materialization of Just-in-time and Respect-for-human System.” International Journal of Production Research 15 (6): 553–564.10.1080/00207547708943149
   Web of Science ®Google Scholar
• Takahashi, K., K. Morikawa, and N. Nakamura. 2004. “Reactive JIT Ordering System for Changes in the Mean and Variance of Demand.” International Journal of Production Economics 92 (2): 181–196.10.1016/j.ijpe.2003.10.014
   Web of Science ®Google Scholar
• Tardif, V., and L. Maaseidvaag. 2001. “An Adaptive Approach to Controlling Kanban Systems.” European Journal of Operational Research 132 (2): 411–424.10.1016/S0377-2217(00)00119-3
   Web of Science ®Google Scholar
• Tayur, S. R. 1993. “Structural Properties and a Heuristic for Kanban-controlled Serial Lines.” Management Science 39 (11): 1347–1368.10.1287/mnsc.39.11.1347
   Web of Science ®Google Scholar
• Wang, H., and W. Hsu-Pin. 1991. “Optimum Number of Kanbans between Two Adjacent Workstations in a JIT System.” International Journal of Production Economics 22 (3): 179–188.10.1016/0925-5273(91)90093-9
   Web of Science ®Google Scholar
• White, R. E., J. N. Pearson, and J. R. Wilson. 1999. “JIT Manufacturing: A Survey of Implementations in Small and Large US Manufacturers.” Management Science 45 (1): 1–15. doi:10.1287/mnsc.45.1.1.
   Web of Science ®Google Scholar
• Zipkin, P. H. 2000. Foundations of Inventory Management. Boston, MA: McGraw-Hill.
   Google Scholar