Determination of Manufacturing Process Conditions by Using MCDM Methods: Application in Laser Cutting

Abstract

Manufacturing is a primary generator of wealth of the country and is essential for economic growth. Determination of the most suitable manufacturing process conditions for a given application is very complex task and requires consideration of a number of conflicting and diverse process performance characteristics (criteria). In this paper the application of a recent multi-criteria decision making (MCDM) method, i.e. weighted aggregated sum product assessment (WASPAS) for determination of manufacturing process conditions in laser cutting was discussed. Laser cutting experiment was conducted based on Taguchi's L 9 experimental design by varying the laser power, cutting speed, assist gas pressure and focus position at three levels. Based on obtained experimental results, a MCDM model consisting of nine alternatives and six criteria was defined. In order to determine the relative significance of considered criteria a pair-wise comparison matrix of the AHP method was used. Stability of the obtained ranking of alternatives was checked by varying values of coefficient of linear combination and by the application of operational competitiveness ratings analysis (OCRA) method.

A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments

“…They are ill-structured. Madic, Antucheviciene, Radovanovic and Petkovic [198] WASPAS, AHP and OCRA Application the WASPAS approach to determine of manufacturing process conditions in laser cutting.…”

A Novel Rough WASPAS Approach for Supplier Selection in a Company Manufacturing PVC Carpentry Products

“…Madić et al [16] evaluate the machining process with combination of AHP and WASPAS method, while Turskis et al [17] use the fuzzy form of these methods for construction site selection. A combination of the classic form of these methods is applied to laser cutting in [18]. The combination of Step-wise Weight Assessment Ratio Analysis (SWARA) and WASPAS is used for solar power plant site selection in [19], and in [20] the combination of these two methods is applied in the nanotechnology industry.…”

Evaluation of Mechanical Behavior of Hybrid Natural Fiber Reinforced Nano Sic Particles Composite using Hybrid Taguchi-Cocoso Method

“…For 3 considered output response criteria, random index of 0.58, consistency index, consistency ratio of 0.037, 0.064 were acquired. Consistency index and consistency ratio values shows that determination of output response criteria weights are equitable since for consistency the value of consistency ratio ≤ 0.10 [6], [7], [8], [9]. The weights obtained for each quality characteristics will be used with COCOSO method for the process parameter optimization.…”

“…The total relative importance of alternatives estimated using the formulae given in equation 14[9]. (14) where a 2m and b 1m are specific mean values of k i with optimal equal values of constraints and μ mean is the total mean of total k i of alternatives [9].…”