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WASPAS Multi-Criteria Decision-Making Approach for Selecting Oxygen Delignification Additives in the Pulp and Paper Industry
Published in Shwetank Avikal, Amit Raj Singh, Mangey Ram, Sustainability in Industry 4.0, 2021
Kumar Anupam, Pankaj Kumar Goley, Anil Yadav
The WASPAS method is one of the latest MCDM techniques. It was first reported by Zavadskas et al. (2012). This method has emerged as an efficacious decision-making technique in recent years and presents a peculiar consolidation of WSM (weighted sum model) and WPM (weighted product model). The WASPAS method searches for a combined criterion of optimality based on the dual-criteria of optimality wherein the first is derived from WSM while the second is derived from WPM (Chakraborty et al., 2015). WSM and WPM are well-known and well-practised MCDM methods. The accuracy of WASPAS is 1.6 and 1.3 times greater than WSM and WPM, respectively (Kumar et al., 2020). Like other MCDM techniques, the performance of WASPAS is greatly influenced by normalization techniques and criteria-weighting methods. Generally, linear normalization techniques yield better results in the WASPAS method. Different criteria weighting methods such as entropy, SWARA (step-wise weight assessment ratio analysis), AHP, CRITIC (criteria importance through inter criteria correlation), equal weights method, standard deviation method, etc., have been tested for WASPAS. With the progress of research, several versions of WASPAS, such as fuzzy WASPAS, extended WASPAS, rough WASPAS, neutrosophic WASPAS, etc. have evolved. WASPAS finds application in various manufacturing environments (Chakraborty & Zavadskas, 2014).
Introduction to Decision-Making and Optimization Techniques
Published in Anindya Ghosh, Prithwiraj Mal, Abhijit Majumdar, Advanced Optimization and Decision-Making Techniques in Textile Manufacturing, 2019
Anindya Ghosh, Prithwiraj Mal, Abhijit Majumdar
MADM deals with the selection of the best alternative or a set of preferred alternatives under the presence of a finite number of decision criteria and alternatives. Weighted-sum model (WSM), weighted-product model (WPM), AHP model, TOPSIS, ELECTRE model, decision-making trial and evaluation laboratory (DEMATEL) technique, and preference ranking organization method for enrichment of evaluations (PROMETHEE) are some of the widely used methods of MCDM.
Multi-Criteria Decision-Making Applications in Conventional and Unconventional Machining Techniques
Published in Catalin I. Pruncu, Jamal Zbitou, Advanced Manufacturing Methods, 2023
Şenol Bayraktar, Erhan Şentürk
WASPAS is a multi-response appropriate decision-making method. A mutual optimality criterion is determined based on two optimality criteria in this method. It is used to evaluate a set of alternatives according to a set of decision criteria. It is quite practical and utilizes heavily on the concept of ranking accuracy. It is preferred in multiple response systems in terms of different engineering fields to find the optimum parametric setting for combined output responses [34]. The WASPAS technique is a unique combination of two commonly used MCDM techniques. In other words, WASPAS, which combines the Weighted Sum Model (WSM) and the Weighted Product Model (WPM), increases the ranking accuracy of the alternatives [35, 36]. xijn×m decision matrix consisted of according to Eq. 3.15 with “n” alternative and “m” criteria in the first stage. xijn×m=x11x12…x1mx21x22…x2m…………xn1xn2…xnm
A combination of DOE – multi-criteria decision making analysis applied to additive assessment in porous asphalt mixture
Published in International Journal of Pavement Engineering, 2021
Carlos J. Slebi-Acevedo, Daniel Castro-Fresno, Pablo Pascual-Muñoz, Pedro Lastra-González
The Weighted Aggregated Sum Product Assessment (WASPAS) was considered as an alternative MCDM analysis to transform the multiple-responses into single-response problem. This method, recently proposed by Chakraborty and Zavadskas (2014, Chakraborty et al.2015), combines two approaches previously developed, the Weighted sum model (WSM) and the Weighted product model (WPM), providing a more robust and accurate methodology (Mardani et al.2017). In WASPAS, the Joint Performance Score (JPS) values were also calculated for each of the alternatives. Similar than TOPSIS technique, higher values of JPS indicate a better performance as a unified index. The steps involved in solving multi-objective decision-making problem through WASPAS approach are explained in more detail in (Chakraborty et al.2015, Keshavarz Ghorabaee et al.2015, Slebi-acevedo et al.2020b).
Selection of best location for small hydro power project using AHP, WPM and TOPSIS methods
Published in ISH Journal of Hydraulic Engineering, 2020
Shilpesh C. Rana, Jayantilal N. Patel
The weighted product model (WPM) is a well known multi-criteria decision-making (MCDM)/ multi-criteria decision analysis (MCDA) method. Both methods are similar but the main difference is that instead of addition in the main mathematical operation there is a multiplication. This method is similar to simple additive weighting (SAW) Method (Venkata Rao 2007). In the MCDM book by (Triantaphyl 2000) more details on this method are given. Suppose that a given MCDA problem is defined on m alternatives and n decision criteria. Furthermore, let us assume that all the criteria are benefit criteria, that is, the higher the values are, the better it is. Next suppose that wj denotes the relative weight of importance of the criterion Cj and aij is the performance value of alternative Ai when it is evaluated in terms of criterion Cj. Then, if one wishes to compare the two alternatives AK and AL (where m ≥ K, L ≥ 1) then, the following product has to be calculated: