Advanced Manufacturing and Logistics Optimization

Design methodology for lightweight seat modules in robotic amusement rides using topology optimization and fiber-reinforced polymers, achieving 49% mass reduction per seat.

Digital twin simulation optimizes CNC machining layout, increasing throughput 23%, reducing travel time 31%, and cutting personnel needs 40% while enabling capacity for additional production.

Research on implementing scalable lean robotics in SMEs shows three-to-fourfold time improvements and better material efficiency in sustainable packaging production.

Integrated fuzzy MCDM framework comparing automated and manual warehousing systems across productivity, safety, costs, and flexibility with sensitivity analysis.

PP-DSC algorithm enhances autonomous robot trajectory tracking with adaptive steering control and Fire and Explosion Index-based safety integration for chemical plant deployment.

Mixed-integer programming and mutation-based algorithm for scheduling flexible manufacturing with pallet automation, setup stations, and fixture pallets to minimize makespan.

Case study examines how warehouse management systems and RFID reduce operational inefficiency but reveals environmental benefits remain unmeasured despite green logistics implementation.

Framework combining Bayesian learning and discrete event simulation to enable remanufacturing facilities to adapt dynamically to demand and supply uncertainty while advancing sustainability.

Study develops hybrid DEA-SWARA-COPRAS model for evaluating order picker efficiency and allocating performance bonuses in e-commerce fulfillment operations.

Hybrid genetic algorithm solution for collaborative electric vehicle and drone routing with soft time windows, demonstrating cost reduction and improved delivery performance in urban parcel logistics.

Improved particle swarm optimization algorithm reduces pharmaceutical manufacturing costs by 6.3% through enhanced scheduling efficiency, improving equipment utilization and delivery rates.

D-Optimal design methodology for optimizing flexible manufacturing system equipment selection, demonstrating that partial automation achieves superior efficiency in electronics manufacturing.

Methodology for optimizing automated guided vehicle routes in hospitals using BIM, IFC standards, and graph-based pathfinding algorithms to enhance logistics efficiency.

Online Genetic Programming evolves dynamic flexible job shop scheduling rules in real-time without simulation models, achieving superior performance through adaptive fitness and population.

Integer Linear Programming heuristic for collision-free path planning of Automated Guided Vehicles in container terminals executing multiple transportation missions.

Route-based MILP analysis shows explicit overtime inclusion and driver workload constraints yield 9.7%–36.4% cost reductions; overtime most benefits long-distance deliveries and cost vs distance.