Abstract
In this paper we adopt the dynamic system design approach to develop an integrated model system for the scrap-processing problem under JIT and implement it as a kind of DSS plug-in for the ERP system. This solution represents the value-added migration strategy toward the evolving global e-manufacturing operation. The convenience and flexibility of the approach in the implementation is illustrated through a case study about a BPR/ERP implementation project in an international pump manufacturing company.
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References
Box, G.D.P., Tiao, G.C.: Bayesian Inference in Statistical Analysis. Wiley Classics, New York (1992)
Cox, D.R.: Regression Models and Life Tables (with Discussions). Journal of Royal Statistical Society B, 34(1972) 187–220
Ding, T.: Application of Stochastic Models in Scrap-processing Problem Under JIT. Unpublished Thesis, University of Alberta, Department of Mathematical and Statistical Sciences (2002)
McCullagh, P., Nelder, J.A.: Generalized Linear Models. Cambridge University Press, Cambridge, UK (1983)
McKenney, J.: Wave of Change. Boston, Harvard Business School Press, MA (1995)
Porter, M.: Strategy and Internet. Harvard Business Review, March (2001) 63–78
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© 2003 Springer-Verlag Berlin Heidelberg
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Ding, J., Karunamuni, R. (2003). Dynamic System Design for the Scrap-Processing Problem under JIT. In: Kumar, V., Gavrilova, M.L., Tan, C.J.K., L’Ecuyer, P. (eds) Computational Science and Its Applications — ICCSA 2003. ICCSA 2003. Lecture Notes in Computer Science, vol 2667. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44839-X_66
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DOI: https://doi.org/10.1007/3-540-44839-X_66
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40155-1
Online ISBN: 978-3-540-44839-6
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