The proposed DSS is tested on a case study (the performance of the mixed integer programming (MIP) formulation solver) and the results highlight that the system is capable of offering satisfactory outcomes. ![]() Several issues and an application are provided for illustrative purposes. The DSS suggests proper Taguchi experimental designs and provides the decision maker with an opportunity to use different metrics and to validate the experimental results. ![]() These methods are integrated into the Taguchi method to convert the multi-response optimization problem to a single-response problem. The proposed system considers three multi-criteria decision-making methods: TOPSIS, VIKOR and GRA. The DSS application requires the quality characteristics and the level of parameters affecting the problem. Microsoft Excel is used as a DSS development platform. This paper presents a spreadsheet-based decision support system (DSS) for any parameter optimization problem, in the small- and medium-sized enterprises to help the managers to make better decisions.
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