Combination of design of experiments and simple additive weighting methods: a new method for rapid multi-criteria decision making

Abstract

Multi-criteria decision making to choose the best option is a complicated task but a required activity in all fields. The problem will be more complicated if, after making a decision, one/several options are added to the list of options to be ranked. In this case, if only a certain multi-criteria decision making method is used, the decision-making shall be required to be started over again. This study recommends a simple solution to overcome this situation. The recommended solution is a combination between the Design Of Experiments method and a certain multi-criteria decision making method. Simple Additive Weighting method was selected in this study as one of the multi-criteria decision making methods for testing. Use the Design Of Experiments method to design an experiment matrix with the main input parameters being the criteria of options. The Simple Additive Weighting method is applied to calculate the output value of each experiment, called the score of the experiment. Develop a mathematical relation between the scores of the experiments and the criteria. This relation is used to recalculate the scores for options to be ranked. Three different cases were performed to evaluate the effectiveness of the new method. The results of ranking alternatives by new method have been compared with when using other methods. Sensitivity analysis was also performed in each case. The generation of different scenarios is done using different methods to determine the weights for the criteria. The best alternative determined when using the new method is always similar to when using other methods. In addition, when using the new method, the best alternative is determined regardless of the method of determining the weights for the criteria. The obtained results have proved the accuracy of the methodology and the advantages of the recommended method. Future work is also mentioned in the last part of this article

Estimation of the Coastal Vulnerability Index Using Multi-Criteria Decision Making: The Coastal Social–Ecological System of Rachgoun, Western Algeria

“…MCDM is a very widely used approach to solve complex problems. It refers to an integrated approach that considers a certain number of criteria in decision making, i.e., the process that combines competing criteria with quantitative and qualitative outcomes to select the best option [119][120][121][122]. According to [123] MCDM techniques have been classified in a number of ways; multi-objective decision making (MODM) and multi-attribute decision making (MADM) are the most common classifications [122][123][124][125][126][127].…”

Design of Experiment with ARAS in Technology Selection for Effective Cognitive Supply Chain Management

“…In this section the steps involved in the proposed method of DOEARAS are presented. The authors shall refer [7] for better understanding of the working principle of DOE.…”

“…These two methods are alike in its objective of optimality and this shows the chances of combining these two methods. Dua [7] has laid the foundation of combining MCDM method with statistical technique for the first time. He has merged the MCDM method of Simple Additive Weighting with Design of Experiments and based on his approach, the method of ARAS is combined with DOE.…”

Selecting lubricating oil for two-stroke gasoline engines: a multi-criteria decision-making approach

“…In such cases, the PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method can be a viable alternative [20]. In the case where the number of lubricant types needs to be ranked either increased or decreased, combining the Design of Experiments (DOE) method with the COCOSO method can be applied to quickly rank the lubricant types without the need to redo the entire calculation process [21][22][23].…”