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  6. Improvement of logistics efficiency by 50% through the use of quantum computers for loading and route optimization.

Improvement of logistics efficiency by 50% through the use of quantum computers for loading and route optimization.

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"MAGELLAN BLOCKS" Optimization of Logistics

last updated:May 29, 2024

グルーヴノーツ 福岡本社(他、東京オフィス)
グルーヴノーツ 福岡本社(他、東京オフィス)
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Significantly streamline logistics by utilizing cutting-edge quantum computer solutions!

Logistics operations require continuous improvement in daily operational productivity to promote white logistics. In recent years, approaches using AI to determine delivery routes have gained attention, but incorporating various conditions such as stacking methods based on products and driver skills makes calculations difficult, leading to variations in planning accuracy. The method of finding optimal solutions from a vast number of patterns that consider these many conditions is called "combinatorial optimization problems," which are addressed in logistics operations through themes such as loading, shifts, and route optimization. A technology that is gaining attention as a solution to this is "quantum computing." By utilizing the "MAGELLAN BLOCKS" quantum computing solution provided by GrooveNotes, it has been confirmed that delivery efficiency can be improved by over 50% in verifications with major delivery companies. Additionally, there are various cases in internal logistics, transportation between bases, and last-mile delivery, contributing to logistics cost improvements ranging from tens of millions to hundreds of millions of yen annually, as well as reductions in CO2 emissions, by maximizing loading rates, reducing the number of trucks, leveling cargo volumes, and improving turnover rates.

    Logistics and warehouse management systems
pho_solution_logistics.jpeg

Improvement of logistics efficiency by 50% through the use of quantum computers for loading and route optimization.

pho_solution_logistics.jpeg
pho_solution_logistics.jpeg
  • Related Link - https://www.magellanic-clouds.com/blocks/solution/…

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Fukuoka City utilizes quantum computers for the transportation planning of COVID-19 patients, instantly creating optimal routes.

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Fukuoka City has adopted "MAGELLAN BLOCKS," a system service for creating transport itineraries for patients with COVID-19, utilizing quantum computing for route optimization. The transport plans are created by city staff based on individual patient information, taking into account various conditions such as the availability of rooms in accommodation facilities, the capacity of each transport vehicle, the routes and travel times to visit patients' homes, and the allowable transport times. By utilizing "MAGELLAN BLOCKS," Fukuoka City can complete the creation of efficient transport plans with a single click, significantly reducing the workload. For more details, visit here: https://www.magellanic-clouds.com/blocks/2022/02/03/fukuoka-city/

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グルーヴノーツ

グルーヴノーツ 福岡本社(他、東京オフィス)

Information and Communications

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"MAGELLAN BLOCKS" boasts one of the top track records in the country, offering a cloud service that allows anyone to easily utilize advanced technologies such as machine learning, deep learning, and even quantum computing by automating and simplifying specialized processes like programming and tuning. With continuously updated features, it helps to curb rising development costs and prolonged development periods, actively promoting the use of data and technology within companies. It enables high-speed and high-precision future predictions through AI and optimal allocation of management resources using quantum computing. ●【Cloud Platform for Large Enterprises "MAGELLAN BLOCKS"】 Providing "MAGELLAN BLOCKS" and consulting services that allow anyone to easily utilize quantum computing, AI, and big data.

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Improvement of logistics efficiency by 50% through the use of quantum computers for loading and route optimization.
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Improvement of logistics efficiency by 50% through the use of quantum computers for loading and route optimization.
グルーヴノーツ 福岡本社(他、東京オフィス)

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