BITS Faculty Publications
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Item Fuzzy part family formation for cellular manufacturing systems(Taylor & Francis, 2008-02) Sangwan, Kuldip SinghMost 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.Item An integrated fuzzy multi-criteria evaluation of lithium-ion battery recycling processes(Taylor & Francis, 2012-09) Sangwan, Kuldip SinghThe 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.Item An integrated fuzzy multi-criteria evaluation of sustainable reverse logistics network models(IEEE, 2013) Sangwan, Kuldip SinghReverse 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.