Optimization of Weighted Aggregated Sum Product Assessment
TL;DR: The aim of the research is to measure the accuracy of the WSM and WPM methods and to propose a method to increase the ranking accuracy of alternatives, to apply joint WASPAS (Weighted Aggregates Sum Product Assessment) method.
Abstract: One of important parts of every computer-aided multiple criteria decision support system is selection of a proper MCDM (Multiple Criteria Decision Making) method. WSM (Weighted Sum Model) and WPM (Weighted Product Model) are analyzed in the current research. The aim of the research is to measure the accuracy of the latter methods and to propose a method to increase the ranking accuracy of alternatives. It is proposed to apply joint WASPAS (Weighted Aggregates Sum Product Assessment) method. Methodology for evaluation of accuracy, based on initial criteria values, is developed. Optimization of weighted aggregated function is suggested, that enables to reach the highest accuracy of measurement. An example of application of the proposed methodology is presented. Ill. 3, bibl. 15, tabl. 4 (in English; abstracts in English and Lithuanian). DOI: http://dx.doi.org/10.5755/j01.eee.122.6.1810
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TL;DR: This study shows the recent developments of TOPSIS approach which are presented by previous scholars and indicated that, previous studies have modifications related to this technique in 2011 more than other years.
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TL;DR: The applicability of weighted aggregated sum product assessment (WASPAS) method is explored as an effective MCDM tool while solving eight manufacturing decision making problems, and it is observed that this method has the capability of accurately ranking the alternatives in all the considered selection problems.
Abstract: In order to survive in the present day global competitive environment, it now becomes es- sential for the manufacturing organizations to take prompt and correct decisions regarding effective use of their scarce resources. Various multi-criteria decision-making (MCDM) methods are now available to help those organizations in choosing the best decisive course of actions. In this paper, the applicability of weighted aggregated sum product assessment (WASPAS) method is explored as an effective MCDM tool while solving eight manufacturing decision making problems, such as selection of cutting fluid, electroplating system, forging condition, arc welding process, industrial robot, milling condition, machinability of materials, and electro-discharge micro-machining process parameters. It is observed that this method has the capability of accurately ranking the alternatives in all the considered selection problems. The effect of the parameteron the ranking performance of WASPAS method is also studied.
255 citations
Cites methods from "Optimization of Weighted Aggregated..."
...…process, in WASPAS method, a more generalized equation for determining the total relative importance of ith alternative is developed as below (Šaparauskas et al., 2011; Zavadskas et al., 2012): Qi = λQ (1) i + (1 − λ)Q (2) i = λ n ∑ j=1 x̄ijwj + (1 − λ) n ∏ j=1 (x̄ij ) wj (λ = 0,0.1, . . . ,1)....
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