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    Integrated fuzzy AHP and fuzzy TOPSIS methods for multi-objective optimization of electro discharge machining process
    (Springer, 2018-03) Roy, Tribeni
    In the present work, the working of an electro discharge machining process was studied in which four factors, namely pulse on time, duty cycle, discharge current, and gap voltage, were considered to be the controllable parameters, each at three levels, for monitoring three responses, namely material removal rate, tool wear ratio, and tool overcut. Statistical design of experiments using Taguchi’s orthogonal array (OA) technique has been utilized to determine the optimum level of process parameters so that they are least affected by noise factors for obtaining a robust design of the parameters. Acknowledging the limitation that Taguchi’s OA technique can determine optimal setting of controllable parameters for one output or response at a time, integrated fuzzy AHP and fuzzy TOPSIS methods were used in the scheme of multi-response experiment so that Taguchi’s OA technique may be applied successfully for parametric optimization. The results show that none of the factors were highly significant although discharge current had the highest contribution (31.63%) among all.
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    Application of Fuzzy AHP Approach for Evaluation of Sustainable Energy Sources in India
    (CRC Press, 2021) Digalwar, Abhijeet K.; Yadav, Shyam Sunder
    Energy is an essential factor for the socio-economic development of societies and the nation. Energy consumption in India has risen very fast in the last few decades due to industrialization and urbanization. It will further increase in the future. To fulfill the increasing future energy demand, there is a necessity to find out the most sustainable energy source covering environmental, technical, economic, social, political and flexibility criteria. In this analysis both renewable (solar, wind, biomass, hydro) and nonrenewable (thermal, gas power, nuclear) energy sources are considered. Experts’ weight is collected in linguistic terminology and we employed a fuzzy analytical hierarchy process (AHP) approach to analyze the collected weights. By the analysis, solar energy is found as the most sustainable energy source in India. The sustainability order is followed by the wind, hydro, biomass, gas, nuclear and thermal energy respectively. Thermal energy is obtained as a least sustainable energy source in India because of scarcity in the availability of the fuels, a huge increase in fuel price and greenhouse gas emission.
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    Fuzzy part family formation for cellular manufacturing systems
    (Taylor & Francis, 2008-02) Sangwan, Kuldip Singh
    Most of the techniques related to part family formation require precise numerical data for part's features. However, in many situations, the parts features are too ill-defined and are too susceptible to analysis by traditional discrete methods. Fuzzy set theory allows the parts to belong to different groups with different memberships. Moreover, different attributes may not have equal importance. The AHP (analytical hierarchy process) model gives the weightage for different attributes and also checks the consistency of the judgements. This paper suggests two models for part family formation using fuzzy mathematics and the AHP model. One model is based on fuzzy logic and AHP and the second model uses fuzzy equivalence ratios and AHP. Models can be integrated with the existing coding systems used by organizations. Both models are validated using problems from literature.
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    An integrated fuzzy multi-criteria evaluation of lithium-ion battery recycling processes
    (Taylor & Francis, 2012-09) Sangwan, Kuldip Singh
    The increasing environmental degradation, fossil fuel prices and political implications of fossil fuel dependency have increased the demand of battery electric vehicles and plug-in hybrid vehicles with lithium-ion batteries (LiBs). However, LiBs use various materials such as plastics, copper, aluminium and nickel, along with scarce metals such as cobalt and lithium. Therefore, the recycling of these batteries is important but the selection of recycling process for these batteries is a complex problem. Alternative recycling processes have to be evaluated with respect to different criteria such as energy consumption, material recovery, environmental impact, health and safety, processing time, degree of flexibility, initial investment and labour cost. This paper provides an integrated fuzzy multi-criteria decision model using fuzzy analytical hierarchical process and fuzzy technique for order preference by similarity to ideal solution for the evaluation of different recycling alternatives for LiBs. The proposed model has been validated by a case study.
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    An integrated fuzzy multi-criteria evaluation of sustainable reverse logistics network models
    (IEEE, 2013) Sangwan, Kuldip Singh
    Reverse logistics is an environmentally and economically sound way to achieve many of the goals of sustainable development. Implementing reverse logistics is a strategic decision, requiring evaluation of a broad set of criteria. Various network models are available based on the trade off considerations at collection, sorting/testing and processing. This paper proposes an integrated fuzzy multi-criteria decision making (FMCDM) model for network selection by introducing the triple bottom line of sustainability. Fuzzy AHP is used to calculate the weight of economic, environmental, and social aspects of sustainability and fuzzy TOPSIS is used for ranking the alternative network models. The model is demonstrated by an example.
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    Measuring interdependencies of preferred supplier enablers
    (Emerald, 2018-10) Routroy, Srikanta
    The purpose of this paper is to analyze preferred supplier enablers (PSEs) and measure the interdependencies among themselves for enhancing preferred supplier relationship.
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    Performance analysis of agile supply chain
    (Inder Science, 2015-05) Routroy, Srikanta
    Agile supply chain (ASC) is considered to be the best alternative to serve difficult markets having uncertain demand, immature and innovative products, ever changing and increasing customer expectations, etc. Continuous performance evaluation is therefore necessary to ensure competitive advantage and business sustainability. Time pressures and difficulty in application to real time situations remain the major reasons for the limited usage of the many available models for measuring agility of ASC. Also, these approaches are not necessary if supply chain managers are only interested to know the agile performance enhancement along certain specified time horizons. Therefore, a methodology is proposed by combining fuzzy analytic hierarchy process (FAHP) and performance value analysis (PVA) to analyse ASC performance along specified time horizons. This proposed approach is applied to an apparel supply chain considering three time horizons and it was observed that there was significant improvement of ASC performance after two years.
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    An approach to develop green capability in manufacturing supply chain
    (Inder Science, 2015) Routroy, Srikanta
    In the present scenario, achieving the green capability has become one of the typical features that is pitching hard along the explorations and transitions of the manufacturing supply chains. Since the ceremonious, common and static solutions do not help to transform the dynamic natured manufacturing supply chains into green manufacturing supply chains. This is mainly due to the increased complexity (of manufacturing supply chains) outpacing the advancement achieved. Hence, there must be a process geared up to identify and prioritise the significant areas to focus and dynamically adjust the targets for continuous improvement to achieve green capability. To address these issues, the current study proposes a methodology consisting of five phases to institute the directions for achieving green capability and it is integrated with a benchmarking approach to provide the basis for continuous improvement. In order to present its utility, it is deployed in an Indian manufacturing company.
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    Prioritizing CSR barriers in the Indian Service Industry: A Fuzzy AHP Approach
    (Scientific Annals of Economics and Business, 2019) Goyal, Praveen
    The present study identifies and prioritizes the barriers pertaining to implementation of corporate social responsibility (CSR) policies in Indian service industries. The 10 most important barriers related to CSR implementation have been first identified and then evaluated for the ranking process using Fuzzy Analytical Hierarchy Process (AHP) based methodology. The outcome of the study clearly presents that lack of top management commitment, lack of significant benefit of CSR, and financial constraints are the most important barriers in effective implementation of sustainable CSR initiatives among organizations belonging to the Indian service industry. These results may be used by decision makers to understand and these barriers, and identify critical success factors for the CSR process, which will help them to ensure that CSR is effectively implemented in their respective organizations
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    Water quality assessment of a river basin under fuzzy multi-criteria framework
    (Inder Science, 2015-07) Singh, Ajit Pratap; Srinivas, Rallapalli
    In this paper fuzzy analytical hierarchy process (FAHP) has been developed to evaluate status of water quality at eight selected stations along river Yamuna. A decision support mechanism has been introduced to select and prioritise stations with specific reference to five important beneficial uses namely, domestic, irrigation, aquatic life, industrial, and recreational activities. Various water quality parameters have been considered as criteria to evaluate water quality status at a given station with respect to particular usage. Pairwise comparisons of the criteria and the stations have been performed to assess water quality using linguistic variables. The eight stations chosen for the study in Yamuna basin are Hathnikund, Sonepat, Palla, Nizamuddin-Delhi, Mathura, Agra, Etawah and Allahabad. Analysis of results reveal that first three stations score highest rank with respect to all beneficial uses as they are relatively free from industrial and municipal contamination. However as the water enters Delhi, it gets heavily contaminated mainly due to wastewater discharged from several municipal drains and industrial activities. The prioritisations of stations with respect to designated uses presented herein are helpful to the decision makers and the implementing agencies to formulate suitable strategies for effective and sustainable utilisation of water in the river basin