An Integrated Swara and QFD Approach to Minimize Mental Stress of Indian Farmers

Literature Review

Different studies have been carried out on MCDM methods for evaluating the parameters as well as sub-parameters to a particular field of application. Zolfani and Bahrami (2014) have taken the help of eleven experts from diverse fields for decision making by the use of SWARA & COPRAS methods. Karabašević et al. (2015) have recognized an MCDM model for assessing and assorting of candidates in recruitment & selection of personnel’s based on the SWARA and ARAS methods. Kouchaksaraei et al. (2015) have used a hybrid framework comprising of two MCDM methods such as SWARA & COPRAS. Where, SWARA was used for criteria calculations and COPRAS for substitutes calculations. Nezhada et al. (2015) have used a hybrid framework comprising of SWARA-WASPAS (weighted aggregated sum product assessment), where SWARA was used for evaluating the criterion and WASPAS was utilized for calculating and ranking the alternatives. Karabasevic et al. (2016) have planned a framework established on the SWARA & ARAS methods for evaluation as well as ranking. Mardani et al. (2017) have discussed about SWARA & WASPAS methods in different areas of application. Tayyar and Durmuş (2017) have made an attempt to suggest about conditions of using SWARA and pairwise comparison weight elicitation methods. Narayanan and Jinesh. (2018) have used SWARA & TOPSIS method for supplier selection. Azadfallah (2019) has developed a modified version of the original entropy approach to determine weights of decision makers(DMs) in multi-attribute group decision making (MAGDM) contexts with both crisp and interval data, in which the weights of experts (or DMs) are derived from the decision matrices and DMs have different weights for different criteria. Zavadskas et al. (2018) have proposed “Rough Step-wise Weight Assessment Ratio Analysis” approach which was verified through a sensitivity analysis for determining the values of weight and found identical results as obtained by the “Rough Best Worst method” as well as “Rough Analytic Hierarchy Process”. Arvind and Shweta (2018) have used a hybrid framework comprising of various MCDM approaches such as multi-objective optimization by ratio analysis (MOORA), SWARA and WASPAS. Where, SWARA method was used to determine criterion weights and MOORA & WASPAS were used for rankings of alternatives. Galli(2019) has explained well-performing organizations in the world are believed to have better environments that produce highly motivated employees to attain their goals.As agrisector is not a sructured Organization so farmers face a lot of problem during farming.Many of the prblems like climate change flood and draught are the main cause of physical and mental sickness in farmers all over the world. Wambua (2019) has found an effective hydrological-drought early warning for viable mitigation and preparedness approaches to minimize the negative effects of drought