Currently, the market is constantly evolving and request for products can vary rapidly, with quick fluctuations within 24 hours. The significant increase in ecommerce, especially during the Covid-19 pandemic, has dramatically raised the number of orders, which are characterized by the use of small batches and highly variable demand. This situation has put pressure on traditional logistics systems, which are not prepared to handle such high volumes of orders and a wide assortment of products with fast delivery demands and low costs. The essential characteristics to meet customer satisfaction are now diversity, rapidity, and frequency, that, from a logistical point of view, means a huge growth in orders and materials stored. This new environment has forced companies to find new ways to remain competitive in the market because it has becomes difficult to achieve perfect customer satisfaction using rigid warehousing systems. Therefore, more flexible warehouses are needed with the goal of reducing the main waste of the traditional system, which is travel time. The study focuses on the internal processes and performance of the Robotic Mobile Fulfillment System (RMFS), a particular automated robotic parts-to-picker system, that is particularly suitable for the dynamic e-commerce environment. In particular the research conduct several simulation analysis of this type of warehouse under different management and allocation policy.
Management strategies for Robotic Mobile Fulfillment Systems: a simulation approach
MAGON, GIACOMO
2023/2024
Abstract
Currently, the market is constantly evolving and request for products can vary rapidly, with quick fluctuations within 24 hours. The significant increase in ecommerce, especially during the Covid-19 pandemic, has dramatically raised the number of orders, which are characterized by the use of small batches and highly variable demand. This situation has put pressure on traditional logistics systems, which are not prepared to handle such high volumes of orders and a wide assortment of products with fast delivery demands and low costs. The essential characteristics to meet customer satisfaction are now diversity, rapidity, and frequency, that, from a logistical point of view, means a huge growth in orders and materials stored. This new environment has forced companies to find new ways to remain competitive in the market because it has becomes difficult to achieve perfect customer satisfaction using rigid warehousing systems. Therefore, more flexible warehouses are needed with the goal of reducing the main waste of the traditional system, which is travel time. The study focuses on the internal processes and performance of the Robotic Mobile Fulfillment System (RMFS), a particular automated robotic parts-to-picker system, that is particularly suitable for the dynamic e-commerce environment. In particular the research conduct several simulation analysis of this type of warehouse under different management and allocation policy.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/66343