Applications of WASPAS method as a multi-criteria decision-making tool

Abstract

The weighted aggregated sum product assessment (WASPAS) method is a unique combination of weighted sum model (WSM) and weighted product model (WPM). Because of its mathematical simplicity and capability to provide more accurate results as compared to WSM and WPM methods, it is now being widely accepted as an efficient decision-making tool. In this paper, its applicability is validated using five real time manufacturing related problems while selecting (a) a flexible manufacturing system, (b) a machine in a flexible manufacturing cell, (c) an automated guided vehicle, (d) an automated inspection system, and (e) an industrial robot. It is observed that for all these five problems, WASPAS method provides quite acceptable results. The optimal λ values for each of the considered problem are determined and the effects of varying λ values on ranking of the candidate alternatives in WASPAS method are also analyzed.