Changing from conveyor to work-cell-based systems to deal with fluctuations in demand

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Volumn 224, Issue 1, 2010, Pages 169-176

  Shishir, B N ^a  

^a NONE   (India)

Author keywords

Conveyor; Demand variation; Material flow; Production systems

Indexed keywords

ALTERNATIVE PRODUCTION SYSTEMS; ASSEMBLY LINE; ASSEMBLY SYSTEMS; CELL-BASED; COMPETITIVE COSTS; CONSUMPTION PATTERNS; DEMAND VARIATIONS; MATERIAL FLOW; NEW PRODUCT; PRODUCTION SYSTEM;

ASSEMBLY; COMPETITION; FACTORY AUTOMATION; PRODUCTION ENGINEERING; TURBULENCE;

CONVEYORS;

EID: 76849092347     PISSN: 09544054     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544054JEM1374     Document Type: Article

References (19)

1. Pan, X. and Ding, F.-Y. Capacity analysis of a towline conveyor system in a distribution center. Int. J. Logistics Systems Mgmt, 2008, 4(2), 219-232.
2. Milind Dawande, H., Geismar, N., Sethi, S., and Sriskandarajah, C. Sequencing and scheduling in robotic cells: Recent developments. J. Scheduling, 2005, 8(5), 387-426.
3. Garbie, I. H., Parsaei, H. R., and Leep, H. R. A novel approach for measuring agility in manufacturing firms. Int. J. Comput. Applic. Technol., 2008, 32(2), 95-103.
4. Agrawal, G. K. and Heragu, S. S. A survey of automated material handling systems in 300mmsemiconductor fabs. IEEE Trans. Semiconductor Mfg, 2006, 19(1), 112-120.
5. Bal, M. and Hashemipour, M. Virtual factory approach for implementation of holonic control in industrial applications: A case study in die-casting industry. Robotics and Computer-Integrated Mfg, 2009, 25(3), 570-581.
6. Bozer, Y. and Hsieh, Y.-J. Expected waiting times at loading stations in discrete-space closed - loop conveyors. Eur. J. Ops Res., 2004, 155, 516-532.
7. Daniels, R. L., Mazzola, J. B., and Shi, D. Flow shop scheduling with partial resource flexibility. Mgmt Sci., 2004, 50(5), 658-669.
8. Montoya-Torres, J. R. A literature survey on the design approaches and operational issues of automated wafer-transport systems for wafer fabs. Prod. Planning Control, 2006, 17(7), 648-663.
9. Jonsson, D., Medbo, L., and Engström, T. Some considerations relating to the reintroduction of assembly lines in the Swedish automotive industry. Int. J. Ops Prod. Mgmt, 2004, 24(8), 754-772.
10. Lau, H. Y. K., Wong, V. W. K., and Ng, A. K. S. A cooperative control model for multi-agent based material handling systems. Expert Systems Applic.: Int. J., 2009, 36(1), 233-247.
11. Kong, S. H. Two-step simulation method for automatic material handling system of semiconductor fab. Robotics Computer-Integrated Mfg, 2007, 23(4), 409-420.
12. Hao, Q., Shen, W., and Stalk Jr, G. Implementing a hybrid simulation model for a Kanban-based material handling system. Robotics Computer-Integrated Mfg (Arch.), 2008, 24(5), 635-646.
13. Laith, A., Hadidi, I., and Rawabdeh, A. Economic analysis for agility in manufacturing environment. Int. J. Comput. Applic. Technol., 2008, 32(3), 232-241.
14. Mothersell, W. M., Moore, M. L., and Reinerth, M. W. Hoshin Kanri planning: the system of five alignments behind the Toyota Production System. Int. J. Business Innovation Res., 2008, 2(4), 381-401.
15. Vitanov, V., Tjahjono, B., and Marghalany, I. A decision support tool to facilitate the design of cellular manufacturing layouts. Comput. Ind. Engng, 2007, 52(4), 380-403.
16. Schaller, J. Designing and redesigning cellular manufacturing systems to handle demand changes. Comput. Ind. Engng, 2007, 53(3), 478-490.
17. Lü, B., Li, Z., and Liu, K. Study on integrated infrastructure for agile manufacturing systems. J. Integrated Des. Process Sci., 2004, 8(4), 99-105.
18. Groover, M. P. Automation, production systems, and computer-integrated manufacturing, 3rd edition, 2007 (Prentice Hall).
19. Miyake, D. I. Development of rapidly reconfigurable production systems in an automotive systems manufacturer. In Proceedings of the 38th CIRP International Seminar on Manufacturing systems, Florianopolis, 2005.