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Knowledge based manufacturing system (KBMS)

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Abstract

Production management, in batch type manufacturing environment, is regarded by the current research community as a very complex task. This paper claims that the complexity is a result of the system approach where management performance relies on decisions made at a too early stage in the manufacturing process. Decisions are made and stored in company databases by engineers who are neither economists nor production planner’s experts. This paper presents a new method where engineer’s task is not to make decisions but rather to prepare a knowledge-based “road map”. The road map method does introduce flexibility and dynamics in the manufacturing process and thus simplifies the decision making process in production planning. Each user will generate a routine that meets his/her needs at the time of needs by using KBMS CAPP. Thereby this method increases dramatically manufacturing efficiency.

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References

  • Collette, Y., & Siarry, P. (2003). Mulitobjective optimization—principle and case studies. Springer-Verlag.

  • Fitzgerald, A. (2000). Enterprise resource planning (ERP)—Breakthrough or buzzword? Third international conference on factory 2000. Competitive performance through advanced technology (Conf. Publ. No.359) (pp. 291–297). London, UK: IEE.

  • Guenov, M. D. (2002). Complexity and cost effectiveness measures for systems design. Second international conference of the manufacturing complexity network (pp. 455–466).

  • Halevi, G. (1980). The role of computers in the manufacturing processes. Weily-Interscience.

  • Halevi, G. (1999). Re-structuring the manufacturing process—applying the matrix method. The St. Lucie/APICS Series on Resource Management.

  • Halevi G. (2004). Production planning—simple or complex. International Journal of Innovation and Technology Management 1(4): 369–372

    Article  Google Scholar 

  • Halevi, G., & Cunha, P. F. (2006). Self organization shop floor control. International CIRP conference on digital enterprise technology, Setubal , Portugal, 18–20 September, 2006.

  • Liu J., MacCarthy B.L. (1996). The classification of FMS scheduling problems. International Journal of Production Research 34(3): 647–656

    Article  Google Scholar 

  • Tinham B. (2000). What place MRP II in the new world?. Manufacturing computer solutions 6(1): 14–18

    Google Scholar 

  • Wang K., Hirpa L.G., Wang Y., Yuan Q., Fang M., (2003). A hybrid intelligent method for modelling the EDM process. International Journal of Machine Tools & Manufacturing 43: 995–999

    Article  Google Scholar 

Download references

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Correspondence to Gideon Halevi.

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Halevi, G., Wang, K. Knowledge based manufacturing system (KBMS). J Intell Manuf 18, 467–474 (2007). https://doi.org/10.1007/s10845-007-0049-1

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