Development of an Integrated TOPSIS-Quality Function Deployment Model for Sustainability Assessment of Indian Banks

The contribution of banks to sustainable advancement is supreme, considering the vital part they play in funding the economic actions of the human race. But, in the fast-changing banking ecosystem, quantifying the level of sustainability attained by financial institutions is a challenging task due to the need of considering a wide range of economic, environmental, and social dimensions concurrently. In this chapter, a novel method based on the technique for order preference by similarity to ideal solution (TOPSIS) and quality function deployment (QFD) is proposed for the first time to evaluate the sustainable efficiency of banking operations. The QFD technique is employed here to provide due importance to the customers' needs with respect to banks' sustainability, and subsequently calculate the priority weights of the considered criteria of sustainability principles. Then, TOPSIS is employed to rank alternatives based on the extent to which they conform to sustainability principles.

An Integrated MCDM and Ergonomic Approach for Agricultural Sectors of Odisha in India

An attempt was made in this chapter to explore the agricultural hazards in the farming sectors of Odisha in India. There were three main contributions. At first the agricultural hazard factors were identified by the use of literature and standard Nordic questionnaires. In the second part, the Best Worst Method (BWM) was used to rank the different hazards based on the risk factors involved. Finally, in the third part, an ergonomic evaluation was made by using both REBA and OWAS ergonomic tools, considering different postures taken by farmers in selected farming activities, and accordingly, the corrective measures (if any) were recommended.

Prioritization of Farming Process by Considering Sustainability as Major Issue

Agriculture assumes an imperative role in the development of Indian economy, and it additionally contributes around 15% to the nation's GDP, offering work chances to around half of its population. Diverse devices and supplies implied for farming machines are utilized in farming processes which are either manually or mechanically operated. In spite of the fact that there have been advancements in new technologies, sustainability is the most important issue in farming. Modern farming process and advanced machineries have solved OHS (occupational health and safety) problems of farming. But modern equipment's smoke, dust, chemicals, and fertilizers both in manual-driven farming and modern farming are major environmental issues. So in this chapter, sustainability issues in farming are prioritized such that the policies, equipment, and process must be modified.

An Integrated Methodology for Evaluation of Electric Vehicles Under Sustainable Automotive Environment

In this chapter, a holistic model based on a newly developed combined compromise solution (CoCoSo) and criteria importance through intercriteria correlation (CRITIC) method for selection of battery-operated electric vehicles (BEVs) has been propounded. A sensitivity analysis has been performed to verify the robustness of the proposed model. Performance of the proposed model has also been compared with some of the popular MCDM methods. It is observed that the model has the competency of precisely ranking the BEV alternatives for the considered case study and can be applied to other sustainability assessment problems.

Performance Evaluation of Sustainable Smart Cities in India

Indian cities have seen accelerated economic and social growth, attracting more and more people from all parts of the country. Growth achieved by cities is linked to their ability to address issues related to urbanization and associated social, environmental, and economic issues in a holistic manner, while making the most of future opportunities. In this chapter, using PROMETHEE and GAIA (geometrical analysis for interactive aid) approaches, an attempt is made to evaluate the performances of 20 smart cities in Indian context based on 10 critically important criteria. A GIS (geographic information system) method and an HSV (hue-saturation-value) color coding scheme-based on cartographic principles are also employed to identify the influence of individual criterion on the overall rank of the smart cities. This analysis would help the decision makers to identify the strengths and deficiencies of Indian smart cities with respect to considered criteria conditions so that proper promotional and growth actions can be implemented.

A Hybrid MCDM Approach-Based Framework for Operational Sustainability of Process Industry

The aim of this chapter is to develop a hybrid decision-making framework for studying the risk issues related to failure of an industrial system. On the basis of plant expert's knowledge, failure mode effect analysis (FMEA) sheet has been generated and various failure causes associated with the sub-systems were listed. On the basis of three risk factors, namely probability of occurrence of failure, severity and non-detection (, and ), Risk Priority Numbers (RPN) for each failure cause has been tabulated. The demerits of FMEA approach in prioritizing the failure causes has been overcome by implementing fuzzy rule-based tool. The consistency and heftiness of the ranking results have been tested by implementing grey relation analysis (GRA) approach. Comparison of ranking results has been done for effective decision making of ranking results. The accuracy of decision results would be highly useful in developing a planned maintenance policy for the plant. The proposed framework has been tested with its application on a cooling tower system of a thermal power plant located in the northern part of India.

A Hybrid MCDM Method for Optimization of VAWT Performance Parameters

Vertical axis wind turbines (VAWT) have an inherent limitation of power performance for its low efficiency. However, the design of VAWT can be tailor-made to work in its built environment due to its varied advantages compared to other designs. Thus, the performance optimization problem entails a multitude framework of designs and operating conditions that must be satisfied for harnessing effective wind power from the turbine design. Furthermore, optimization of the performance of VAWT is considered to be an MCDM optimization problem. In this context, the chapter proposes a hybrid MCDM consisting of entropy and VIKOR-based methods for performance parameter optimizations of VAWT. To show the strength and applicability, a real-life case of optimizing performance parameters (Savonius type VAWT [SVAWT]) is used. The results show that SVWAT provides optimal results at an overlap ratio (16%), Vfree (34.763 m/s), N (3796 rpm), V (26.499 m/s), TSR (0.732).

Reducing Clinical Laboratory Footprints on the Environment With Intuitionistic Fuzzy Distance Measure

Medical diagnosis with the help of computational techniques is a very useful tool for doctors for the purpose of better diagnosis. In this chapter, an attempt has been made to reduce the number of tests required for diagnosis using generalized fuzzy sets for initial decision making as per the characteristics of ingested water in normal routine. The quality of water in terms of type and concentration of contaminants varies from region to region. The analogy between concentration of different contaminants in drinking water and risk analysis based on intuitionistic fuzzy sets (IFSs) have been investigated. Hypothetical data was processed in view of the finite set of heavy metals, diseases, and places to investigate the effect of selected heavy metal on the human health. The findings will not only help in diagnosis but also offer cost-cutting and ecofriendly strategy by avoiding unnecessary clinical laboratory examinations.

Optimization of Performance and Emissions Parameters of a Biodiesel-Run Diesel Engine

Biodiesel has been immersed as an immediate alternative of fossil fuels for diesel engines. However, choosing a good combination of biodiesel blends based on both performance and emission depend on various factors. The chapter presents the modeling and optimization of performance and emissions parameters of a biodiesel-run diesel engine using an integrated MCDM approach. The integrated MCDM approach consists of entropy with MCRA method. An experimental case study on performance and emission study of diesel engine is considered to show the modeling capability of the proposed method. The results show that trail no. 4 yields the optimal setting compare to the other combinations. The trail no. 4 gives optimum operating condition such as 85-90% load and PB10 which provides optimum performance parameters like higher brake thermal efficiency (BTE), lower brake-specific energy consumption (BSEC), lower carbon monoxide (CO), lower hydro carbon (HC), and lower oxides of nitrogen (NOx), respectively.

Optimum Selection of Biodiesel for Sustainable Assessment

This chapter aims to select the best biodiesel for a diesel power generator considering sustainable criteria. The study proposes the application of an almost unexplored prospect theory-based multi-criteria decision-making (MCDM) method, popularly known as Tomada de Decisao Interativa Multicriterio (TODIM). Several conflicting criteria including calorific value, cetane number, density, viscosity, flash point, and pour point are considered as the most predominant criteria, while pongamia oil, jatropha oil, cotton seed oil, linseed oil, madhuca indica oil, olive oil, and sunflower oil are among the considered biodiesel alternatives. Results show that madhuca indica oil scored the highest value followed by others. The study is also complemented by an analysis of the sensitivity of the numerical results obtained to show the robustness of the proposed method.