D
Dharmendra Yadav
Researcher at M. J. P. Rohilkhand University
Publications - 38
Citations - 346
Dharmendra Yadav is an academic researcher from M. J. P. Rohilkhand University. The author has contributed to research in topics: Supply chain & Trade credit. The author has an hindex of 7, co-authored 28 publications receiving 193 citations. Previous affiliations of Dharmendra Yadav include University of Delhi & P.G. College.
Papers
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Journal ArticleDOI
Economic order quantity model for imperfect lot with partial backordering under the effect of learning and advertisement dependent imprecise demand
TL;DR: In this article, an economic order quantity model in which the demand of items is fuzzy in nature and depends on the frequency of advertisement is investigated and the learning effect on number of defective items present in each lot is considered and the possibility of lost sale and backorder are also analyzed.
Proceedings ArticleDOI
Abstract LB-061: CRD5500: A versatile small molecule STING agonist amenable to bioconjugation as an ADC
Monali Banerjee,Sourav Basu,Sandip Middya,Ritesh Shrivastava,Rajib Ghosh,David C. Pryde,Dharmendra Yadav,Gopal Bhattacharya,Thanilsana Soram,Kavita Puniya,Ritika Raina,Vijay Kadam,Sujay Garai,Priti Sharma,Anuj Singh,Vaibhav Shinde,Nidhi Rawat,Anindita Middya,Arghyotri Sinha,Sunita Chandel,Ganesh Narisipuram,Abhisek Chatterjee,Nagaswamy Mane,Arjun Surya +23 more
TL;DR: The ability of hSTING agonists to generate Type 1 IFN anti-tumor immune responses makes them a promising therapeutic option either as a single agent or in combination with other therapies.
Journal ArticleDOI
Two level production inventory model with exponential demand and time dependent deterioration rate
TL;DR: In this paper, a production inventory model is developed by considering two different rates of production with exponential demand rate, which is assumed that rate of deterioration is linear function of time and shortages are not allowed.
Journal ArticleDOI
Production inventory model for two-level trade credit financing under the effect of preservation technology and learning in supply chain
TL;DR: In this article, the authors investigated the inventory model for a retailer under two levels of trade credit to reflect the supply chain management and obtained necessary and sufficient conditions of an optimal solution.
Journal Article
Effect of demand boosting policy on optimal inventory policy for imperfect lot size with backorder in fuzzy environment
TL;DR: In this article, an economic order quantity (EOQ) model with backorder was investigated by taking imprecise demand rate with dependence upon the frequency of advertisement. And the formulated model also incorporated learning effects on percentage of defective items present in each lot.