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Showing 1-30 of 280 projects
This study tackles the complex problem of optimizing last-mile delivery routing under stochastic demand by developing and evaluating a hybrid metaheuristic fram...
Lean manufacturing and Industry 4.0 adoption are transforming production systems by integrating digital technologies to create a responsive, data-driven, and hi...
This study presents a comprehensive framework for achieving real-time production optimization in smart manufacturing environments by integrating IoT-enabled sen...
Industrial Wireless Sensor Networks (IWSNs) have become pivotal in monitoring and controlling diverse manufacturing processes, yet their deployment is often con...
This study presents a novel framework for optimizing production line balancing and overall line performance under variable demand by integrating hybrid metaheur...
This study presents an integrated digital twin framework for predictive maintenance on a factory floor, combining real-time sensor data, physics-based modeling,...
This study presents a comprehensive framework for optimizing energy management and production scheduling within a multi-product flexible manufacturing system (F...
Optimizing Sustainable Production Scheduling and Inventory Management in a Mixed-Model Assembly Line Using Digital Twin and Real-Time Data Analytics integrates ...
This research presents a comprehensive framework for validating smart factory capabilities through real-time monitoring and optimization of production lines by ...
This study presents a comprehensive approach to optimizing warehouse layout through a hybrid optimization framework that integrates Mixed-Integer Linear Program...
In modern smart manufacturing environments, equipment reliability and uptime are critical drivers of productivity, cost efficiency, and competitive advantage. T...
Optimization of preventive maintenance and spare parts stocking using real-time IoT data in a manufacturing plant examines an integrated framework that leverage...
This study presents a data-driven framework for achieving green manufacturing and energy optimization in small-scale industries, addressing the dual challenges ...
This research presents a comprehensive optimization framework for a multi-product make-to-order (MTO) manufacturing system by integrating hybrid metaheuristics,...
In a rapidly evolving manufacturing landscape, downtime and unexpected equipment failures impose significant costs and erode competitive advantage, prompting th...
This study presents a comprehensive optimization framework for a multi-product e-commerce fulfillment center, focusing on simultaneous warehouse layout design a...
This study investigates the optimization of lean manufacturing implementation in a medium-scale dairy processing plant through the integration of digital twin t...
This study presents a comprehensive framework for optimizing manufacturing line balancing and takt time in a high-mix low-volume automotive component production...
This study addresses the critical challenge of optimizing preventive maintenance scheduling for heterogeneous manufacturing lines by integrating hybrid metaheur...
This research presents a comprehensive framework for optimizing sustainable production scheduling and inventory management in a mixed-model assembly line by lev...
This study presents a comprehensive framework for optimizing a lean manufacturing system tailored to small-scale automobile component production by leveraging d...
The increasing complexity of manufacturing processes and growing demand for operational efficiency necessitate innovative approaches to optimize production syst...
The automotive industry operates in a highly competitive environment where efficiency and productivity are crucial for market success, prompting the need to opt...
The integration of machine learning techniques into lean manufacturing processes offers transformative potential for enhancing operational efficiency, reducing ...
This research explores the implementation and optimization of lean manufacturing principles to enhance sustainability in production processes, aiming to reduce ...
The pursuit of operational excellence in manufacturing has increasingly emphasized the integration of lean principles to enhance sustainability and productivity...
This research explores the integration of Internet of Things (IoT) technologies and data analytics to enhance manufacturing process efficiency, reliability, and...
This research investigates the application of lean manufacturing principles to optimize processes in automotive assembly lines, aiming to enhance operational ef...
The rapid advancement of manufacturing technologies has necessitated the development of more efficient, accurate, and reliable quality control mechanisms to ens...
The integration of the Internet of Things (IoT) and Data Analytics has revolutionized traditional manufacturing processes by enabling real-time monitoring, pred...