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Ajinkya Tanksale

Researcher at Indian Institute of Technology (BHU) Varanasi

Publications -  19
Citations -  186

Ajinkya Tanksale is an academic researcher from Indian Institute of Technology (BHU) Varanasi. The author has contributed to research in topics: Computer science & Supply chain. The author has an hindex of 4, co-authored 12 publications receiving 60 citations. Previous affiliations of Ajinkya Tanksale include Indian Institute of Technology Kharagpur & Trinity College, Dublin.

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Circular economy practices in a developing economy: Barriers to be defeated

TL;DR: In this paper, the authors identify the barriers against the adoption of Circular Economic (CE) in the food supply chain in the context of a developing economy and identify the most significant barriers.
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Implementing National Food Security Act in India: issues and challenges

TL;DR: In this paper, the authors put forth various aspects of NFSA and identified issues and challenges for its implementation in the light of Indian public distribution system (PDS), and gave emphasis on the need of major reforms in procurement, storage, movement and distribution of foodgrains strategies.
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A study of barriers for adoption and growth of food banks in India using hybrid DEMATEL and Analytic Network Process

TL;DR: In this paper, the authors identify challenges and barriers that impede the growth and adoption of food banks in the Indian context and evaluate critical barriers by prioritizing them by using analytical network process.
Proceedings ArticleDOI

CFD analysis for optimization of diffuser for a micro wind turbine

TL;DR: In this paper, computational fluid dynamics analysis is carried out for three different diffusers -diffuser without flange, diffuser with vertical flange and Diffuser with inclined flange for a micro wind turbine.
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Designing a closed-loop supply chain for reusable packaging materials: A risk-averse two-stage stochastic programming model using CVaR

TL;DR: In this paper , a risk-averse two-stage stochastic programming model is developed to incorporate the uncertainties associated with the demand, initial inventory and level of reusability of the reusable packaging material.