most citedA System-Dynamic Based Simulation and Bayesian Optimization for Inventory Management

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2024★ 2 cited

Inventory Management Under Stochastic Demand: A Simulation-Optimization Approach

Sarit Maitra

This study presents a comprehensive approach to optimizing inventory management under stochastic demand by leveraging Monte Carlo Simulation (MCS) with grid search and Bayesian opt…

cs.LG2024★ 1 cited

A Data Mining-Based Dynamical Anomaly Detection Method for Integrating with an Advance Metering System

Sarit Maitra

Building operations consume 30% of total power consumption and contribute 26% of global power-related emissions. Therefore, monitoring, and early detection of anomalies at the mete…

math.OC2024★ 2 cited

A System-Dynamic Based Simulation and Bayesian Optimization for Inventory Management

Sarit Maitra

Inventory management is a fundamental challenge in supply chain management. The challenge is compounded when the associated products have unpredictable demands. This study proposes…

math.OC2024

Adaptive Bayesian Optimization Algorithm for Unpredictable Business Environments

Sarit Maitra

This paper presents an innovative optimization framework and algorithm based on the Bayes theorem, featuring adaptive conditioning and jitter. The adaptive conditioning function dy…

cs.NE2023

Adaptive Differential Evolution with Diversification: Addressing Optimization Challenges

Sarit Maitra

The existing variants of the Differential Evolution (DE) algorithm come with certain limitations, such as poor local search and susceptibility to premature convergence. This study…