KANBAN SHARING AND OPTIMIZATION IN BOSCH PRODUCTION SYSTEM

Pedro Salgado, Leonilde Varela

2010

Abstract

Information sharing and optimization is a key factor for effective knowledge management, which is based on data exchange, communication and technological infrastructures and standardization, being essential in order to remain competitive in the today’s global market scenario. In this context, human functions are also relevant, and in this work we refer to the interaction of both in the optimization of Bosch Production System. Therefore, the aim of this paper consists on presenting the minimization of kanbans, when sharing this information in a proposed cellular manufacturing environment in Bosch production, in order to enhance workflows and material and work in process management as well as human interactions and production performance and productivity.

References

  1. Askin, R. G. and Standridge, S. R. 1993. Modeling and analysis of manufacturing systems, John Wiley and Sons, 461.
  2. Baker, K. R. and Trietsch, D. 2009. Principles of Sequencing and Scheduling, Jonh Wiley and Sons, 493.
  3. Black, J. T. 1991. The design of the factory with a future, McGraw-Hill, 233.
  4. Cheng, K., Harrison, D. K., Pan, P. Y. 1998. An internet based architecture of implementing design and manufacturing agility for rolling bearings. J Mater Process Technology 76(1-3):96-101.
  5. Hirano, H. 2009. JIT Implementation Manual - The Complete Guide to JIT Manufacturing: Vol 1 - The JIT Production System, CRC Press, 5 Ed, 192.
  6. Hyer, N. 1984. The potential of group technology for U.S. manufacturing. Journal of Operations Management, 4(3):183-202.
  7. Kidd, P. T. 1995 Agile manufacturing - forging new frontiers. Addison-Wesley, Wokingham, England, UK.
  8. Levy, D. L. 1997. Lean production in a international supply chain. Sloan Management Review.
  9. Ming P. Tsai, James T. Lin. 2004. A web-based control system. Springer-Verlag, London.
  10. Monden, Y. 1993. Toyota Production System: An integrated approach to Just-In-Time, Industrial Engineering and Management Press, 2 Ed, 423.
  11. Mortimer, A. L. 2008. A continuing lean journey: an electronic manufacturer's adopting ok kanban. Assembly Automation, 28/2, 103-112.
  12. Ohno, T. 1988. Toyota Production System: Beyond LargeScale Production, Productivity Press, 143.
  13. Shingo, S. 1989. A study of the Toyota Production System from an Industrial Engineering viewpoint, Productivity Press, 257.
  14. Singh, N. and Rajamaani, D. 1996. Cellular Manufacturing Systems: Design, Planning and Control, Chapman and Hall, 277.
  15. Slack, N., Chambers, S. and Johnston, R. 2007. Operations Management, Pearson Education, 5 Ed, 728.
  16. Suri, R. 1998. Quick response manufacturing: a companywide approach to reducing lead times, Productivity Press, 544.
  17. Wan, H. and Chen, F. F. 2007. A Web-based kanban system for job dispatching, tracking and performance monitoring. International Journal Advanced Manufacturing Technology, 38:995-1005.
Download


Paper Citation


in Harvard Style

Salgado P. and Varela L. (2010). KANBAN SHARING AND OPTIMIZATION IN BOSCH PRODUCTION SYSTEM . In Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2010) ISBN 978-989-8425-30-0, pages 81-91. DOI: 10.5220/0003102600810091


in Bibtex Style

@conference{kmis10,
author={Pedro Salgado and Leonilde Varela},
title={KANBAN SHARING AND OPTIMIZATION IN BOSCH PRODUCTION SYSTEM},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2010)},
year={2010},
pages={81-91},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003102600810091},
isbn={978-989-8425-30-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2010)
TI - KANBAN SHARING AND OPTIMIZATION IN BOSCH PRODUCTION SYSTEM
SN - 978-989-8425-30-0
AU - Salgado P.
AU - Varela L.
PY - 2010
SP - 81
EP - 91
DO - 10.5220/0003102600810091