0000-0002-5264-3249 About
My primary research interest is in the area of operation research, specifically inventory control theory. New generations of marketing, manufacturing or production systems, aided by the global presence of the supply-chain infrastructure, are playing an increasingly important role in the society. Such increasing reach is making the demand for robust operation of such systems more stringent than ever. Failures or anomalies in these inventory systems can now have enormous cost and serious consequences on our business and economy.
Investigating the principles underlying the design and implementation of such robust and pervasive inventory control systems is the general goal of my research. How to build a reliable system using unreliable components and how local algorithms based on local knowledge can derive globally emergent system characteristics such as reliability, availability, efficient resource utilization and quality assurance, are the central questions that drive most of my research activities. Because real-world systems are complex, answering these questions requires careful design and implementation that attends the details of the real scenario. I also use theoretical analysis and simulation that allows exploration of design parameters in wider ranges and in isolation, and helps to understand the impact of each parameter on the observed behavior of the system.
Employment
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Uttaranchal University Assistant Professor2016 - Present
Education
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Uttaranchal University PhD2019 - 2023
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- Time-Dependent Holding Cost in Inventory Models for Deteriorating Items: A Linear and Nonlinear Approach Save
- An inventory model for deteriorating items with linear deterioration and time-dependent demand under compound interest and backordering Save
- Linear and Nonlinear Time-Dependent Deteriorated Inventory Control Model Save
- Optimized Economic Production Quantity Inventory Model with Weibull Decay, Dynamic Holding Cost Under Varied Demand Scenario and Demand Series Analysis Save
- Next-generation inventory optimization: advanced inventory management harnessing demand variability integrating fuzzy logic and granular differentiability Save
- An EPQ inventory model with Weibull distribution, dynamic time-dependent holding cost under various demand pattern using Maclaurin series approximations Save
- Deteriorating inventory management model: adapting to variable lead time and consumer-driven shortages Save
- Random multimodel deep learning (RMDL) for sentiment classification using COOT-political optimisation Save
- Dynamic terminology for supplier-retailer collaboration metrics in inventory model Save
- MULTI-ENTITY STOCK DEPENDENT MODEL WITH CAPACITY AND MANUFACTURE COST RESTRAINT’S Save