An approach of designing CONWIP loop for assembly system in one-of-a-kind production environment

References

• Ajorlou, S., and I. Shams. 2013. “Artificial Bee Colony Algorithm for CONWIP Production Control System in a Multi-Product Multi-Machine Manufacturing Environment.” Journal of Intelligent Manufacturing 24: 1145–1156. doi:10.1007/s10845-012-0646-5.
   Web of Science ®Google Scholar
• Aleksić, D. S., D. S. Janković, and L. V. Stoimenov. 2012. “A Case Study on the Object-Oriented Framework for Modeling Product Families with the Dominant Variation of the Topology in the One-of-a-Kind Production.” The International Journal of Advanced Manufacturing Technology 59: 397–412. doi:10.1007/s00170-011-3466-4.
   Web of Science ®Google Scholar
• Choi, B. K., and N. K. You. 2006. “Dispatching Rules for Dynamic Scheduling of One-of-a-Kind Production.” International Journal of Computer Integrated Manufacturing 19 (4): 383–392. doi:10.1080/09511920500407541.
   Web of Science ®Google Scholar
• Dalalah, D., and O. Al-Araidah. 2010. “Dynamic Decentralised Balancing of CONWIP Production Systems.” International Journal of Production Research 48 (13): 3925–3941. doi:10.1080/00207540902998323.
   Web of Science ®Google Scholar
• Framinan, J. M., P. L. González, and R. Ruiz-Usano. 2003. “The CONWIP Production Control System: Review and Research Issues.” Production Planning & Control 14 (3): 255–265. doi:10.1080/0953728031000102595.
   Web of Science ®Google Scholar
• Harrod, S., and J. J. Kanet. 2013. “Applying Work Flow Control in Make-to-Order Job Shops.” International Journal of Production Economics 143: 620–626. doi:10.1016/j.ijpe.2012.02.017.
   Web of Science ®Google Scholar
• Hong, G., D. Y. Xue, and Y. L. Tu. 2010. “Rapid Identification of the Optimal Product Configuration and Its Parameters Based on Customer-Centric Product Modeling for One-of-a-Kind Production.” Computers in Industry 61: 270–279. doi:10.1016/j.compind.2009.09.006.
   Web of Science ®Google Scholar
• Hopp, W. J., and M. L. Spearman. 2001. Factory Physics, Foundations of Manufacturing Management. 2nd ed. Irwin: McGraw-Hill.
   Google Scholar
• Huang, G., J. Chen, X. Wang, and Y. Shi. 2014. “A Simulation Study of CONWIP Assembly with Multi-Loop in Mass Production, Multi-Products and Low Volume and OKP Environments.” International Journal of Production Research. doi:10.1080/00207543.2014.980458.
   Web of Science ®Google Scholar
• Jodlbauer, H., and A. Huber. 2008. “Service-Level Performance of MRP, Kanban, CONWIP and DBR Due to Parameter Stability and Environmental Robustness.” International Journal of Production Research 46 (8): 2179–2195. doi:10.1080/00207540600609297.
   Web of Science ®Google Scholar
• Khojasteh-Ghamari, Y. 2009. “A Performance Comparison between Kanban and CONWIP Controlled Assembly Systems.” Journal of Intelligent Manufacturing 20 (6): 751–760. doi:10.1007/s10845-008-0174-5.
   Web of Science ®Google Scholar
• Krishnamurthy, A., and R. Suri. 2009. “Planning and Implementing POLCA: A Card-Based Control System for High Variety or Custom Engineered Products.” Production Planning & Control 20 (7): 596–610. doi:10.1080/09537280903034297.
   Web of Science ®Google Scholar
• Levalle, R. R., M. Scavarda, and S. Y. Nof. 2013. “Collaborative Production Line Control: Minimisation of Throughput Variability and WIP.” International Journal of Production Research 51 (23–24): 7289–7307. doi:10.1080/00207543.2013.778435.
   Web of Science ®Google Scholar
• Li, B. M., and S. Q. Xie. 2013. “Product Similarity Assessment for Conceptual One-of-a-Kind Product Design: A Weight Distribution Approach.” Computers in Industry 64: 720–731. doi:10.1016/j.compind.2013.04.001.
   Web of Science ®Google Scholar
• Li, N., S. Q. Yao, G. Liu, and C. H. Zhuang. 2010. “Optimization of a Multi-Constant Work-in-Process Semiconductor Assembly and Test Factory Based on Performance Evaluation.” Computers & Industrial Engineering 59: 314–322. doi:10.1016/j.cie.2010.05.003.
   Web of Science ®Google Scholar
• Li, W., B. R. Nault, D. Y. Xue, and Y. L. Tu. 2011. “An Efficient Heuristic for Adaptive Production Scheduling and Control in One-of-a-Kind Production.” Computers & Operations Research 38 (1): 267–276. doi:10.1016/j.cor.2010.05.002.
   Web of Science ®Google Scholar
• Little, J. D. C. 1961. “A Proof of the Queuing Formula: L = λw.” Operations Research 9 (3): 383–387. doi:10.1287/opre.9.3.383.
   Web of Science ®Google Scholar
• Mhada, F., and R. Malhamé. 2011. “Approximate Performance Analysis of CONWIP Disciplines in Unreliable Non Homogeneous Transfer Lines.” Annals of Operations Research 182: 213–233. doi:10.1007/s10479-010-0722-1.
   Web of Science ®Google Scholar
• Park, C.-W., and H.-S. Lee. 2013. “Performance Evaluation of a Multi-Product CONWIP Assembly System with Correlated External Demands.” International Journal of Production Economics 144: 334–344. doi:10.1016/j.ijpe.2013.02.021.
   Web of Science ®Google Scholar
• Pettersen, J.-A., and A. Segerstedt. 2009. “Restricted Work-in-Process: A Study of Differences between Kanban and CONWIP.” International Journal of Production Economics 118 (1): 199–207. doi:10.1016/j.ijpe.2008.08.043.
   Web of Science ®Google Scholar
• Renna, P., L. Magrino, and R. Zaffina. 2013. “Dynamic Card Control Strategy in Pull Manufacturing Systems.” International Journal of Computer Integrated Manufacturing 26 (9): 881–894. doi:10.1080/0951192X.2013.799783.
   Web of Science ®Google Scholar
• Riezebos, J. 2010. “Design of POLCA Material Control Systems.” International Journal of Production Research 48 (5): 1455–1477. doi:10.1080/00207540802570677.
   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: 879–894. doi:10.1080/00207549008942761.
   Web of Science ®Google Scholar
• Suri, R. 1998. Quick Response Manufacturing: A Companywide Approach to Reducing Lead Times. Portland, OR: Productivity Press.
   Google Scholar
• Suri, R., and A. Krishnamurthy. 2003. How to Plan and Implement POLCA: A Material Control System for High Variety or Custom-Engineered Products. Technical Report. Madison: Center for Quick Response Manufacturing, University of Wisconsin.
   Google Scholar
• Tu, Y. L., X. L. Chu, and W. Y. Yang. 2000. “Computer-Aided Process Planning in Virtual One-of-a-Kind Production.” Computers in Industry 41: 99–110. doi:10.1016/S0166-3615(99)00006-8.
   Web of Science ®Google Scholar
• Wortmann, J. C., D. R. Muntslag, and P. J. M. Timmermans. 1997. Customer-Driven Manufacturing. London: Chapman & Hall.
   Google Scholar
• Xie, S. Q., and Y. L. Tu. 2006. “Rapid One-of-a-Kind Product Development.” The International Journal of Advanced Manufacturing Technology 27: 421–430. doi:10.1007/s00170-004-2225-1.
   Web of Science ®Google Scholar