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  6. [Case Study] Automated Personnel Allocation Service for E-commerce Logistics Warehouses

[Case Study] Automated Personnel Allocation Service for E-commerce Logistics Warehouses

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last updated:Dec 27, 2024

Fixstars Amplify
Fixstars Amplify
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Automatically calculate the ideal combination of personnel allocation that eliminates bias in workload across many constraints and improves work efficiency!

We would like to introduce a case study of the implementation of an "Automated Staffing Allocation Service" utilizing quantum computing technology at the logistics warehouse for online shopping of Belmezon Logistics Co., Ltd. Due to the vast number of patterns in staffing shifts and the need to consider complex factors, the shift scheduling time for staff leaders often extended to several hours each day, leading to significant labor and psychological stress. By using the quantum computing cloud "Fixstars Amplify," we successfully derived an ideal staffing allocation shift that improved work efficiency without bias in workload under complex conditions. [Case Overview] - Implementation of an "Automated Staffing Allocation Service" utilizing quantum computing technology at a logistics warehouse for online shopping. - Automatic calculation of ideal combinations of staffing allocations that improve work efficiency without bias in workload against many constraints. - Achieving a balance between reducing employee burden and increasing productivity, resulting in a workplace with high employee satisfaction. *For more details, please download the PDF or feel free to contact us.

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【導入事例】通販向け物流倉庫の人員配置自動作成サービス1.JPG

[Case Study] Automated Personnel Allocation Service for E-commerce Logistics Warehouses

【導入事例】通販向け物流倉庫の人員配置自動作成サービス1.JPG
【導入事例】通販向け物流倉庫の人員配置自動作成サービス1.JPG
  • Related Link - https://www.fixstars.com/ja/cases/amplify-bellemai…

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【Issues】 ■ There are an enormous number of patterns for staff scheduling shifts, and it is necessary to consider complex factors (workload, skills, working hours, compatibility among employees, etc.) ■ The shift planning time for staff leaders can take several hours each day, resulting in significant effort and psychological stress ■ There have been situations where it was difficult to make quick and appropriate adjustments on-site in response to fluctuations in work progress throughout the day *For more details, please download the PDF or feel free to contact us.

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Case studies of optimization technology utilization (production planning, shift planning, digital twin, dispatch planning, design optimization, materials informatics, etc.)

Case studies of optimization technology utilization (production planning, shift planning, digital twin, dispatch planning, design optimization, materials informatics, etc.)

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Fixstars

Fixstars Amplify

Information and Communications

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With over 700 companies and organizations utilizing it, and more than 50 million cumulative executions, our optimization computing cloud service powered by cutting-edge quantum technology and other advanced computing methods supports the optimization and automation of our customers' operations. The optimization computing cloud service "Fixstars Amplify" is used in on-site management planning tasks such as production planning, shift scheduling, vehicle dispatch planning, and delivery planning. It can also be utilized for optimizing shelf layouts in automated warehouses and for automatic control of AGVs as a digital twin. In research and development, its use is expanding in areas such as materials informatics and optimization of design parameters. With the world's best service for solving social issues, the highest precision and efficiency, and the most user-friendly optimization computing cloud service, along with comprehensive support from excellent optimization consultants, we provide total support for the optimization of various operations in the manufacturing industry. 【Usage Applications】 Production planning, shift planning, equipment investment optimization, optimal routing for AGVs, shelf layout optimization in automated warehouses, vehicle dispatch planning, delivery planning, design parameter optimization, materials informatics, etc.

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