Multi-criteria evaluation model: an application of MRP parameterization

Yıl 2020, Cilt: 8 Sayı: 4, 295 - 301, 31.12.2020

David Damand

https://doi.org/10.18100/ijamec.817719

Öz

This paper presents a multi-criteria evaluation model applied to the parameterization of the MRP method. Existing optimization approaches that address this problem tend to adopt a means of simulation. A simulated solution is characterized by a pair (parameters, performance indicators). In the context of the evaluation of solutions, the work of Barth, Damand et al. (2003) propose a heuristic approach to extracting knowledge from a solution set. The approach is based on the definition of a multi-criteria solution comparison function. The objective of this paper is to present the detailed modeling of this comparison function. Ultimately, this result contributes to the formalization of a multicriteria optimization problem. A problem solving strategy is proposed.

Anahtar Kelimeler

Multi-Criteria Decision Analysis (MCDA), Optimization, Learning, Decision Support, Parameterization

Destekleyen Kurum

University of Strasbourg / HuManis laboratory of EM Strasbourg Business School

Kaynakça

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