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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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On an inventory model with two levels of storage and stock-dependent demand rate
TL;DR: An order-level inventory model is developed by assuming that the demand rate is stock-dependent and two separate warehouses are used and a sensitivity analysis is carried out by taking a numerical example.
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A Secure Smartcard-Based Anonymous User Authentication Scheme for Healthcare Applications Using Wireless Medical Sensor Networks
TL;DR: In this paper, a secure biometrics-based user authentication scheme in WMSNs using smart card is presented and it is shown that the scheme is secure against possible known attacks.
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Variations of order-level inventory models for deteriorating items
TL;DR: In this paper, order-level inventory models for deteriorating items have been developed and solved with and without shortages, and the finite production rate is proportional to the demand rate which is time-dependent.
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Cooperative sustainable supply chain for deteriorating item and imperfect production under different carbon emission regulations
TL;DR: A sustainable supply chain inventory management (SSCIM) model for a single-manufacturer and asingle-buyer’s integrated approach by considering item deterioration and imperfect production simultaneously is developed and fuzzy rule base approach is employed to predict the customers’ demand.
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EOQ model for an inventory with a linear trend in demand and finite rate of replenishment considering shortages
TL;DR: In this article, an economic order quantity (EOQ) model is developed for an item with a deterministic time-dependent demand pattern with a linear (positive) trend, and the model is solved allowing either no shortage or a shortage in the inventory.