Factory Automation always involves interfering elements that deprive of flexibility in flow due to the complexity of processes and diversity in equipment. Therefore, a factor that is more important than the selection of mechanical automation equipment is the establishment of management plan that flexibly controls the automated process and flow and improves production and quality upon considering the connection with the supply network. HYUNDAI’s factory automation service guarantees success by reflecting characteristics of innovation in the design.
System characteristics | Flexibility | Agility | Adaptivity |
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Details | Location suitability | Response to demand variations | Response to material flow variations |
Storage space suitability | |||
Moving route suitability | Response to delivery variations | Response to congestion state | |
Available space suitability | |||
ASRS suitability | Response to order variations | Response to emergency state | |
Space utilization | |||
Performance measures | Slotting efficiency(%) | Processing capability (pc/hr, min, hr, month) |
Processing Capability (pc/hr) (min, hr) |
Storage space efficiency (%) | |||
Path route& width efficiency (%) | Processing capability (pc/hr, min, hr, day) |
Time to reach steady state (min, hr, month) |
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Space congestions(%) | |||
ASRS utilization(%) (pc/hr) | Processing capability (pc/hr) |
Ability to overcome emergency situations | |
3D space utilization (%) | |||
Analysis methods | Slotting optimization | Throughput measuring Steady state arrival time | Throughput measuring Warm-up time |
Storage dimension optimization | |||
Aisle width reducing Moving path routing | Throughput measuring Warm-up time | Steady state arrival time Process balancing time | |
2D space congestion | |||
ASRS cycle time Slotting optimization | Throughput measuring | What if scenario analysis. | |
3D Space availability | |||
Experiment & analysis tools |
Simulation tool
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Simulation method
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Statistics & analysis tool
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DOE(Design of experiment)
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Optimization method
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Note |
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Three characteristics required for system innovation by production, storage, and logistics processes are flexibility, agility, and adaptability. Based on this, we conduct scientific and quantitative simulation experiments and statistical analysis in the As-Is, To-Be analysis.