Two-stage product design selection by using PROMETHEE and Taguchi method: A case study

Abstract

The main goal of this paper was to introduce the methodology for product design selection. The proposed methodology combines two classical methods to find the most appropriate design for the new product, through a reduced number of alternatives (product variants) and experiments for the selection process. In the first stage, the multi-criteria decision-making method, PRO-METHEE was used for selecting the most suitable design, according to the chosen preferences and criteria. In the second stage, the Taguchi method was used in order to define the most appropriate parameters for selected suitable design. The fundamental scientific contribution of this paper refers to a benefit introduced by combining these methods. This benefit is related to the reduction of product development time which has a significant effect on manufacturing process time due to the high market pressure. The proposed methodology was applied to find the appropriate table design for CNC milling machine located in the Lean Learning factory. However, this is just one case study to present the proposed methodology which can be applied for other optimization of other product designs. Before applying the proposed methodology for this case study, the methodology is validated on a simple example.

A PROMETHEE Multiple-Criteria Approach to Combined Seismic and Flood Risk Assessment at the Regional Scale

“…The proposed multi-hazard risk analysis procedure for the region under study is based on PROMETHEE [26][27][28][29], a Multiple-Criteria Decision Analysis method. It belongs to the class of aggregation methods based on outranking relationships.…”

“…In the mean-std method, the indifference threshold is assigned the value of the difference between the average value and standard deviation, while the sum between the average value and standard deviation is assigned to the preference threshold. Following [26][27][28], we adopted the preference function of the linear type for the quantitative criteria, that is flood hazard, land use, the age of buildings, and population density. However, the algorithm was also run by choosing the usual preference function, which is the simplest possible one.…”

“…In particular, the objective is to jointly analyze the flood and seismic risk for the Ferrara province area. The proposed approach is based on the suitable use of the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), a Multiple-Criteria Decision Analysis technique [26][27][28][29]. The province of Ferrara is in a flatland area in the northern part of Italy.…”

Determination of Manufacturing Parameters for Maintaining Form Accuracy of Packaging Support Block Made with Polyurethane Foam

“…For this purpose, it is tried to search the recommended cutting conditions by considering the characteristics that have a major influence on the form accuracy, that is based on the cutting conditions that have been accumulated empirically through the expert group. To solve this problem, the Taguchi technique [8][9][10][11], which can easily evaluate the influence of each factor, was applied.…”

Extraction of Bioactive Compounds from Yellow Onion Peels: Taguchi-SAW Hybrid Optimization

“…Taguchi method, which is generally used in single response optimization, can be integrated with multi-criteria decision-making methods and applied to obtain optimal conditions for multiple responses (Güldane, 2023). Taguchi-PROMETHEE (Crnjac et al, 2019), Taguchi-TOPSIS (Singh et al, 2011), and Taguchi-AHP (Salari et al, 2019) hybrid optimization techniques have been applied successfully in various process operations. Pal and Jadeja (2019) applied the Taguchi method in single response optimization to maximize polyphenolic antioxidant extraction from onion peel.…”