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UNIK-PMA: A unifier of optimization model with rule-based systems by the post-model analysis

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Abstract

Post-Model Analysis (PMA) is a framework that unifies an optimization model with a rule-based system and enables the multi-objective decision modeling that considers both numeric and symbolic objectives and decision variables. In this research, we have developed a system UNIK-PMA that implements the PMA procedure on the knowledge-assisted optimization modeler UNIK-OPT and a backward chaining rule-based system UNIK-BWD. This paper particularly elaborates the process of generating constraints of the linear programming model from the rule-based goals, which is a crucial step of PMA. UNIK-PMA is illustrated with an example of aggregate production planning.

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Authors and Affiliations

  1. Graduate School of Management, Korea Advanced Institute of Science and Technology, 207-43, Cheongryang, 130-012, Seoul, Korea

    Jae Kyu Lee & Yong Uk Song

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  1. Jae Kyu Lee
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  2. Yong Uk Song
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Lee, J.K., Song, Y.U. UNIK-PMA: A unifier of optimization model with rule-based systems by the post-model analysis. Ann Oper Res 65, 157–179 (1996). https://doi.org/10.1007/BF02187330

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