Focal Interest
Focal Interest

Advanced Manufacturing and Logistics Optimization

External reference: https://openalex.org/T11814

  1. Topology-optimized seat module reduces mass and adds capacity
    Design methodology for lightweight seat modules in robotic amusement rides using topology optimization and fiber-reinforced polymers, achieving 49% mass reduction per seat.
  2. Layout optimization improved throughput and reduced staffing needs
    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.
  3. Lean robotics improved efficiency in an SME packaging case study
    Research on implementing scalable lean robotics in SMEs shows three-to-fourfold time improvements and better material efficiency in sustainable packaging production.
  4. Automated warehousing ranked above manual systems on key criteria
    Integrated fuzzy MCDM framework comparing automated and manual warehousing systems across productivity, safety, costs, and flexibility with sensitivity analysis.
  5. PP-DSC improved tracking in open areas, with mixed industrial results
    PP-DSC algorithm enhances autonomous robot trajectory tracking with adaptive steering control and Fire and Explosion Index-based safety integration for chemical plant deployment.
  6. Scheduling model integrates pallets, machines, and setup stations
    Mixed-integer programming and mutation-based algorithm for scheduling flexible manufacturing with pallet automation, setup stations, and fixture pallets to minimize makespan.
  7. Digital tools supported greener warehousing practices
    Case study examines how warehouse management systems and RFID reduce operational inefficiency but reveals environmental benefits remain unmeasured despite green logistics implementation.
  8. Framework combines Bayesian learning and discrete-event modeling for remanufacturing
    Framework combining Bayesian learning and discrete event simulation to enable remanufacturing facilities to adapt dynamically to demand and supply uncertainty while advancing sustainability.
  9. Hybrid model ranks order pickers and allocates bonuses
    Study develops hybrid DEA-SWARA-COPRAS model for evaluating order picker efficiency and allocating performance bonuses in e-commerce fulfillment operations.
  10. Drone-assisted delivery reduced total cost and improved time-window performance
    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.
  11. Hybrid scheduling algorithm cuts pharmaceutical production costs
    Improved particle swarm optimization algorithm reduces pharmaceutical manufacturing costs by 6.3% through enhanced scheduling efficiency, improving equipment utilization and delivery rates.
  12. Two-stage D-optimal selection found a less-than-full automation mix
    D-Optimal design methodology for optimizing flexible manufacturing system equipment selection, demonstrating that partial automation achieves superior efficiency in electronics manufacturing.
  13. BIM-based graph method optimizes hospital AGV routes
    Methodology for optimizing automated guided vehicle routes in hospitals using BIM, IFC standards, and graph-based pathfinding algorithms to enhance logistics efficiency.
  14. Online genetic programming improved scheduling in dynamic job shops
    Online Genetic Programming evolves dynamic flexible job shop scheduling rules in real-time without simulation models, achieving superior performance through adaptive fitness and population.
  15. Driver overtime reduced routing costs in a flower delivery network
    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.