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Building Logistics Networks Using Model-Based Reasoning Techniques

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1821))

Abstract

This paper describes an intelligent system, LogNet, used to solve problems in logistics decision-making. LogNet offers design guidance by utilizing model-based reasoning techniques. An end-user using LogNet can test and refine a logistics network design and iteratively request help and advice by the system.

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References

  1. Kunz, J.C.: Model Based Reasoning in CIM. In Intelligent Manufacturing. Proceedings from the First International Conference on Expert Systems and the Leading Edge in Production Planning and Control, (1987) 93–112.

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  3. Ballou, R.H.: Business Logistics Management, Third Edition. Englewood Cliffs, NJ: Prentice-Hall (1992).

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© 2000 Springer-Verlag Berlin Heidelberg

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Nakatsu, R., Benbasat, I. (2000). Building Logistics Networks Using Model-Based Reasoning Techniques. In: Logananthara, R., Palm, G., Ali, M. (eds) Intelligent Problem Solving. Methodologies and Approaches. IEA/AIE 2000. Lecture Notes in Computer Science(), vol 1821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45049-1_50

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  • DOI: https://doi.org/10.1007/3-540-45049-1_50

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67689-8

  • Online ISBN: 978-3-540-45049-8

  • eBook Packages: Springer Book Archive

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