Article ID: | iaor19971486 |
Country: | Netherlands |
Volume: | 65 |
Issue: | 1 |
Start Page Number: | 157 |
End Page Number: | 179 |
Publication Date: | Aug 1996 |
Journal: | Annals of Operations Research |
Authors: | Lee Jae Kyu, Song Yong Uk |
Keywords: | optimization |
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, the authors 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.