?We want to improve the efficiency of our complex logistics process, but don't know where we should start.
?We want to quantitatively verify the effect on logistics when adding a product line or constructing a new plant.
?When constructing new conveying equipment, we want to calculate the necessary conveying capacity properly in order to reduce the cost of the equipment.
?91视频 can propose the optimum logistics process based on the digital twin approach and our wealth of knowledge of steel industry logistics.
?The logistics process is constructed on virtual space using simulation software. By inputting real-world equipment and logistics data, it is possible to verify the logistics process on the virtual space.
?The digital twin is realized quickly and with high accuracy by creating modules of basic equipment such as the customer's berths, yards, blending tanks, etc.
Verification of steel works logistics and equipment specifications when constructing new equipment (also applicable to plants using conveyors and other general-purpose equipment).
?Improvement of raw material transportation efficiency from the ironmaking system and raw material yards to downstream plants.
?Improvement of the efficiency of in-plant logistics of steel semi-finished products and scrap.
?Improvement of the efficiency of logistics between yards, cranes, processes, etc.
Ex.) By using a logistics simulation, construction of new raw material blending and adjustment tanks was carried out while holding the equipment capacity to the necessary minimum. As a result, we succeeded in improving coal conveying efficiency (production efficiency) as aimed.
*If a logistics simulation is not carried out when constructing new logistics-related equipment in a plant with a complicated logistics process, over-specification equipment is constructed in many cases to avoid capacity shortages. Because a detailed simulation could be conducted simply by a logistics simulation, we successfully reduced the margin ratio and held the equipment capacity to the necessary minimum.