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Operation and control of flow manufacturing based
on constraints management for high-mix/low-volume production
- GUAN Zailin, PENG Yunfang, MA Li, ZHANG Chaoyong, LI Peigen
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School of Mechanical Science & Engineering, Huazhong University of Science & Technology;
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Published |
05 Dec 2008 |
Issue Date |
05 Dec 2008 |
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References
1. Invistics Corp . Adapting Lean Manufacturing for a High Mix Environment. A White Paper, 2004
2. Rondeau P J, Litteral L A . Evolution of manufacturingplanning and control systems: from reorder point to enterprise resourceplanning. Production and Inventory ManagementJournal, 2001, 42(2): 1–7
3. Lambrecht M R, Decaluwe L . JIT and constraint theory:the issue of bottleneck management. Productionand Inventory Management Journal Third Quarter, 1988 : 61–65
4. Benton W C, Shin H . Invited review: manufacturingplanning and control: the evolution of MRP and JIT integration. European Journal of Operational Research, 1998, 110: 411–440. doi:10.1016/S0377-2217(98)00080-0
5. Golhar D Y, Stamm C L . The Just-in-time philosophy:a literature review. International Journalof Production Research, 1991, 29(4): 657–676. doi:10.1080/00207549108930094
6. Carlson J G, Yao A C, Mixed model assembly simulation. International Journal of Production Economics 1992, 26: 161–167. doi:10.1016/0925-5273(92)90058-F
7. Gupta M . Constraintsmanagement-recent advances and practices. International Journal of Production Research, 2003, 41(4): 647–659. doi:10.1080/0020754031000065458
8. Sale M L, Inman R A . Survey-based comparison ofperformance and change in performance of firms using traditional manufacturing,JIT and TOC. International Journal of ProductionResearch, 2003, 41(4): 829–844. doi:10.1080/0020754031000065520
9. Randy N . Flowmanufacturing. www.ncoaug.org, 8/12/1999/1002-3100 (2004)09-0086-04
10. McLean C R, Bloom H M, Hopp T H . The virtual manufacturing cell. In: Proceedings of 4th IFAC/IFIP Conference on Information Control Problemsin Manufacturing Technology. Maryland, 1982 : 207–215
11. Suresh N C . Partitioning work centers for group technology: analytical extensionand shop level simulation investigation. Decision Sciences, 1992, 23: 267–290. doi:10.1111/j.1540-5915.1992.tb00389.x
12. Joines J, Culbreth C, King R A . Comprehensive review of production oriented cell formationtechniques. International Journal of FactoryAutomation and Information Management, 1996, 3(3–4): 225–265
13. Kamrani A, Parsaie H, Chaudhry M . A survey of design methods for manufacturing cells. Computers and Industrial Engineering, 1993, 25(1–4): 487–490. doi:10.1016/0360-8352(93)90326-S
14. Fantahun M D . An integrated approach to the design of cellular manufacturing systemsfor dynamic production requirements. Ph.D.Thesis at Concordia University, 2006
15. Skinner W . Manufacturingstrategy on the “S” curve. Production and Operations Management, 1996, 5(1): 3–14
16. Guan Zailin, Liu Junliang, Ma Li, Shao Xinyu . Researchon constraints management-based operation and control of flow manufacturingin high mix and low volume production environments. Modern Manufacturing Engineering, 2007, (4): 1–5 (in Chinese)
17. Roser C, Nakano M, Tanaka M . Shifting bottleneck detection. In: Proceeding of the 2002 Winter Simulation Conference. USA, New York: IEEE, 2002 : 1079–1086
18. Guan Z L, Peng Y F, Yang X L, Shao X Y . TOC/DBR basedproduction planning and control in a manufacturing system with multiplesystem bottlenecks. IEEE InternationalConference on Industrial Engineering and Engineering Management, 2007, 2–4: 1078–1082. doi:10.1109/IEEM.2007.4419358
19. Li Aihua, Yin Liuying . A model for determine thesize of time buffer in DBR. Chinese Journalof Management Science, 1998, 6(1): 16–20 (in Chinese)