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786 articles for “Operational research”
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Emerging Trends in Drones across Multiple Sectors
Abstract: Drones, also known as unmanned aerial vehicles (UAVs), have become increasingly popular for their adaptability, affordability, and advanced functionalities. Originally developed for military purposes, they are now widely utilized across diverse sectors such as agriculture, filmmaking, and search and rescue missions. The impact of drones has been significant in various domains, such as reducing human casualties, providing more accurate information, increasing efficiency and cost reduction, and improving crop yields. Nonetheless, …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 29–35 Read article
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An Analytical Study on Cybersecurity Threats and AI-Driven Mitigation Strategies in Next-Generation Smart Grids
Abstract: The increasing adoption of next-generation smart grids has introduced significant cybersecurity challenges due to their reliance on interconnected digital infrastructures and IoT-based control mechanisms. This study aims to analyze cybersecurity threats in smart grids and explore AI-driven mitigation strategies to enhance grid security and resilience. The research examines common cyber threats such as malware attacks, denial-of-service (DoS), data breaches, and insider threats while evaluating the effectiveness of AI-based solutions, including …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 16–25 Read article
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Design and Development Pneumatic Operated Washer Making Machine
Abstract: This research article presents the advanced method design and development of pneumatic operated washer making machine. The pneumatic system has gained a large amount of importance in last few decades. This project work mainly includes the main components of designs of pneumatic operated washer making machine such as: design of cylinder, selection of direction control valve, and selection of tube, design of aluminum sheet, plastic sheet, tar felt sheet and …
Published in Trends in Machine design · Vol. 4, Issue 3, 2017 · pp. 12–20 Read article
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Advanced Airline Operations Control System Using NodeJS
Abstract: This research paper presents the development of an Advanced Airline Operations Control System (AAOCS) using NodeJS, a lightweight and scalable JavaScript runtime environment. Leveraging NodeJS's event-driven architecture and non-blocking I/O model, the system facilitates efficient management of flight operations, crew scheduling, resource allocation, and real-time decision-making in the aviation industry. Key features include real-time decision support tools, a microservices-based architecture for scalability, integration with external data sources and APIs, and …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 1, 2024 · pp. 45–51 Read article
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Implementing Theory ofConstraints in an Indian SME: A Bearing Rings Manufacturing Machine Shop
Abstract: The Goal by Goldratt and Cox (1984) inspiring study, ‘Theory of Constraints’ has merged from simple production scheduling technique into management philosophy with best practices in profit optimization in operations management. This research work presents a case study of ‘Theory of Constraints’ in an Indian SME in a bearing races manufacturing machine shop. Machine shop is equipped with state of the art with CNC turning machines. In this machine shop, …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 2, 2021 · pp. 31–40 Read article
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Feedback Based Three Finger Robotic Gripper
Abstract: This research presents the development and validation of a novel three-finger robotic gripper system enhanced with force feedback capabilities. Leveraging Force-Sensing Resistor (FSR) sensors and servo actuators, the gripper is engineered to dynamically adjust its grasp based on real-time force feedback. Through a series of iterative design iterations and experimental validation, the gripper demonstrates robustness and adaptability in various gripping scenarios. The integration of force feedback allows the gripper to …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 1, 2024 · pp. 11–17 Read article
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Pipeline Integrity Optimal Maintenance Techniques and Its Reliability
Abstract: This study is aimed at determining the optimal maintenance model for utilizing both preventive and corrective costs control system. It was assumed that operating conditions and pipeline diameters were uniform following the cumulated results and computational analysis. The research included an estimation which shows that the average cost for the installation and of course the maintenance of a healthy and operational pipeline is within $1,989,992 per km. Considering the failure …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 9, Issue 1, 2022 · pp. 23–29 Read article
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Development of a Low-Cost Autonomous Robot for Obstacle Avoidance Using Ultrasonic Sensing
Abstract: In the evolving landscape of automation, autonomous mobile robots are becoming critical for performing tasks with minimal human intervention. This project presents the design and development of a cost-effective, small-scale obstacle-avoiding robot using an Arduino microcontroller and an ultrasonic sensor. The robot operates by scanning its surroundings, identifying nearby obstacles, and navigating by altering its path in real time. Through intelligent programming and sensor integration, the system achieves smooth, collision-free …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 1–11 Read article
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Enhancing Maintenance Decision-Making in Thermal Power Plants Using Generative AI-Based Fault Diagnosis
Abstract: The growing complexity of operation and power consumption of thermal power stations involve the need to have intelligent fault diagnosis systems that can be used to guarantee reliability and safety in operation. In this research, a Generative AI (GenAI)-based hybrid architecture of early fault detection and predictive maintenance is proposed to improve the decision-making process of the maintenance team. The data-driven analytic approach combines methods of data-driven analytics, Generative AI …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 25–33 Read article
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Horizon Scanning and Early Assessment of Health Technologies for the Treatment of Orphan Diseases
Abstract: The theoretical foundations and regulatory framework of the processes of the formation of an effective health technology assessment (HTA) system at the early stages of the life cycle of medicines are analyzed in the article. Particular attention is paid to horizon scanning (HS) and early assessment of expensive innovative drugs utilized for treating rare diseases. In order to inform policymakers, purchasers, and providers (to prioritize MT research, financial, and operational …
Published in International Journal of Brain Sciences · Vol. 1, Issue 1, 2024 · pp. 32–39 Read article
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Envirosense Nexus: IoT-Driven Precision Waste Management for Urban Sustainability
Abstract: In modern urban environments, the improper handling of waste has become a significant issue, particularly due to insufficient and inefficient management of trash collection. This growing problem is leading to unhygienic conditions and pollution, requiring the introduction of smart waste disposal systems. To address this, we propose the development of an Internet of Things (IoT)-based intelligent trash bin that can autonomously detect, monitor, and report its waste levels. The system …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 26–31 Read article
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Efficient Energy Management using Artificial Intelligence (AI) and Machine Learning (ML) in Chemical Industry
Abstract: The globe is moving toward higher usage of renewable energy sources, particularly solar and wind energy, as a result of depleting fossil fuel supplies and growing environmental concerns. There are several forecasting methods available for effective wind energy utilization. This review uses algorithms for predicting solar and wind energy as well as artificial intelligence (AI) techniques. A wind-coal coupling energy system planning scheme was designed to lower the high energy …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 33–50 Read article
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Role of Beowulf Clusters in Next-Generation Military Applications: A Comprehensive Study
Abstract: Beowulf clusters, which utilize cost-effective commodity hardware combined with open-source software for parallel computing, have emerged as a viable and efficient solution for high-performance computing needs. This paper explores their growing relevance and practical applications in modern and future military technologies. Contemporary military operations increasingly rely on rapid data processing, real-time intelligence, high-fidelity simulations, and autonomous decision-making systems. Beowulf clusters offer scalable and adaptable computational power that supports these demands …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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Opportunities and Challenges for Improving the Development of Sustainable Modes of Transportation in India – E- Highway Buses
Abstract: The Indian transportation sector, while contributing significantly to economic growth, also plays a major role in air pollution and greenhouse gas emissions. These emissions have adverse effects on public health and worsen climate change, necessitating a shift towards sustainable transportation solutions. Electric buses have shown promise as an alternative to diesel buses, but their limited range poses a challenge for long-distance routes due to battery technology. This study investigates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 17–24 Read article
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Driver Drowsiness Detection System
Abstract: One of the main causes of road accidents worldwide in recent years is driver fatigue. Assessing a driver's mood, or how sleepy they are, is a clear approach to gauge their level of exhaustion. Therefore, detecting driver fatigue is very important to save lives and property. The creation of a prototype drowsiness detection system is the aim of this research. The system operates in real time, continuously capturing images and …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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Tracking of Maximum Power Point for SPV Systems
Abstract: AbstractThis paper presents the optimization algorithm based maximum power point tracking techniques. Optimization of output of shaded and un-shaded photovoltaic array under either it is static or dynamic whether condition is the primary goal of each MPPT techniques. There are various aspects of each MPPT techniques such as cost effectiveness, simplicity of hardware and software, its implementation, requirement of sensor, level of popularity, level of accuracy and its convergence speed. …
Published in Journal of Semiconductor Devices and Circuits · Vol. 6, Issue 3, 2019 · pp. 33–45 Read article
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To Develop Self-instructional Module on ‘Umbilical Cord Stem Cell Collection, Preservation and Utilization’ and Evaluate its Effectiveness on Improving the Knowledge of Operational Level Nurses
Abstract: Umbilical cord stem cell based regenerative and cellular medicine has now become a fascination for all. The umbilical cord blood, donated by mothers after the birth of newborn, has become an accepted source of hematopoietic stem cells for bone marrow reconstitution. They play an important role in the treatment of blood and immune system related genetic diseases, cancers, and blood disorders. This study is aimed to assess the knowledge of …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 9, Issue 3, 2020 · pp. 10–22 Read article
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The Effect of Working Capital Management with Net Operating Profit of Manufacturing Companies
Abstract: This study attempts to show the impact of working capital management on operating profit for manufacturing organizations in order to reach profit targets and increase sales. Additionally, it seeks to determine whether working capital management significantly affects a company's operating net profit. Working capital management factors such as average collection period, daily balance turnover, average payment period, cash conversion cycle, and net exchange turnover of the business are considered in …
Published in International Journal of Trends in Humanities · Vol. 1, Issue 1, 2024 · pp. 29–36 Read article
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NutriHeart with Chatbot
Abstract: Heart disease stands as one of the world's principal reasons for human deaths since it causes major preventable fatalities each year. Healthcare institutions currently explore machine learning (ML) integration for establishing new approaches toward predicting, and acting ahead of healthcare developments. NutriHeart presents an AI-based platform that accomplishes cardiovascular risk detection early and extends heart wellness by delivering customized nutritional and lifestyle recommendations. Using Support Vector Machines (SVM) along with …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 22–34 Read article
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Drone Safety Protocols Developing and Implementing Safety Procedures
Abstract: The increasing utilization of drones across various sectors, including agriculture, logistics, surveillance, and recreational activities, necessitates the establishment of robust safety protocols to mitigate risks associated with their operation. This study explores the development and implementation of comprehensive safety procedures for drone operations, focusing on both regulatory compliance and technological advancements. The study emphasizes how crucial it is to comprehend the legal frameworks set forth by aviation authorities, including the …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 44–49 Read article