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.
Papers
More filters
Journal ArticleDOI
Multiobjective transportation problem with interval cost, source and destination parameters
TL;DR: This paper focuses on the solution procedure of the multiobjective transportation problem (MOTP) where the cost coefficients of the objective functions, and the source and destination parameters have been expressed as interval values by the decision maker.
Journal ArticleDOI
An Economic Order Quantity Model for Items with Two Levels of Storage for a Linear Trend in Demand
TL;DR: In this paper, a deterministic inventory model with two levels of storage (own warehouse and rented warehouse) is studied by considering a linear (positive) trend in demand, and the model is formulated and solved without allowing backlogging.
Journal ArticleDOI
A Secure and Efficient Uniqueness-and-Anonymity-Preserving Remote User Authentication Scheme for Connected Health Care
Ashok Kumar Das,Adrijit Goswami +1 more
TL;DR: The proposed uniqueness-and-anonymity-preserving remote user authentication scheme for connected health care, which uses the user’s personal biometrics along with his/her password with the help of the smart card, has several security weaknesses.
Journal ArticleDOI
An EOQ model for deteriorating items with time varying demand and costs
TL;DR: In this article, a generalized EOQ model for deteriorating items is considered, in which the demand rate, deterioration rate, holding cost and ordering cost are all assumed to be continuous functions of time.
Journal ArticleDOI
Multi-objective modeling of production and pollution routing problem with time window
Ravi Shankar Kumar,Karthik Kondapaneni,Vijaya Dixit,Adrijit Goswami,L.S. Thakur,Manoj Kumar Tiwari +5 more
TL;DR: A hybrid Self-Learning Particle Swarm Optimization (SLPSO) algorithm in multi-objective framework is proposed to solve the MMPPRP-TW and a comparison with the well-known Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is performed to establish superior computational efficiency.