Abstract
Linear programming (LP) models have been used to support operational and planning decisions in every major industry — including petroleum, steel, forestry, manufacturing, communications and banking. However, applications have been limited by the difficulties in model formulation, management and interpretation (Johnson [1987]). Rapid advances in computing have made it possible for us to solve far larger models than we can understand. To maximize the benefits from the considerable progress that has been made in the development of efficient computational algorithms, we need to reduce the cost of modeling and improve both the quality of models and the decision processes associated with their use.
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© 1988 Springer-Verlag Berlin Heidelberg
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Stohr, E.A. (1988). Automated Support for Formulating Linear Programs. In: Mitra, G., Greenberg, H.J., Lootsma, F.A., Rijkaert, M.J., Zimmermann, H.J. (eds) Mathematical Models for Decision Support. NATO ASI Series, vol 48. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83555-1_30
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DOI: https://doi.org/10.1007/978-3-642-83555-1_30
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