A
Adrijit Goswami
Researcher at Indian Institute of Technology Kharagpur
Publications - 126
Citations - 3923
Adrijit Goswami is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Fuzzy logic & Economic order quantity. The author has an hindex of 32, co-authored 119 publications receiving 3319 citations. Previous affiliations of Adrijit Goswami include International Institute of Information Technology & Indian Institutes of Technology.
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Designing multi-period supply chain network considering risk and emission: a multi-objective approach
Ravi Shankar Kumar,Alok K. Choudhary,Soudagar A. K. Irfan Babu,Sri Krishna Kumar,Adrijit Goswami,Manoj Kumar Tiwari +5 more
TL;DR: This research formulates a multi-objective problem (MOP) for supply chain network (SCN) design by incorporating the issues of social relationship, carbon emissions, and supply chain risks such as disruption and opportunism and results obtained evince the robust performance of the proposed MOP.
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An efficient biometric-based privacy-preserving three-party authentication with key agreement protocol using smart cards
TL;DR: This paper proposes a new secure biometric-based privacy-preserving 3PAKA scheme using the elliptic curve cryptography with efficient mechanism for the user revocation and re-registration with the same identity and shows that the scheme is secure against passive and active attacks.
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A Secure and Robust User Authenticated Key Agreement Scheme for Hierarchical Multi-medical Server Environment in TMIS
TL;DR: This work proposes a secure and robust user authenticated key agreement scheme for the hierarchical multi-server environment suitable in TMIS using the cryptographic one-way hash function and fuzzy extractor and shows that the scheme is secure against possible known attacks.
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A fuzzy random EPQ model for imperfect quality items with possibility and necessity constraints
TL;DR: A single-period production-inventory model in linguistic 'imprecise' and statistical 'uncertain' environment, where fuzziness and randomness appear simultaneously is investigated, and the fuzzy model is transformed into an equivalent deterministic non-linear programming problem.
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EPQ model with learning consideration, imperfect production and partial backlogging in fuzzy random environment
TL;DR: Fuzzy expectation and signed distance method are used to transform the fuzzy random cost function into an equivalent crisp function, and consequently, fuzzy random total cost per unit time is derived.