automated robotic mobile fulfillment systems

Project: Practical Project

Project participants

Description

Due to the increasingly fast-paced economy, an efficient distribution center plays a crucial role in the supply chain. From the logistics perspective the main task is to turn homogeneous pallets into ready-to-ship packages that will be sent to the customer. Traditionally, as some customers' orders are received, pickers in different zones of a warehouse are sent to fetch the products, which are parts of several different customers' orders. After that, the products should be sorted and scanned. Once all parts of an order are complete, they are sent to packing workers to pack as packages. Such system is called manual order picking system. However, 50% of pickers' time in such system is spent on traveling around the warehouse. To ensure that the orders are shipped as fast as possible, automated storage and retrieval systems are used. Using such systems offers a certain degree of high throughput, but only for specialized and uniform products, such as books. Several drawbacks exist in these systems, such as high costs, long design cycles, inflexibility and lack of expandability. In order to improve or eliminate those disadvantages, automated robotic mobile fulfillment systems (RMFS), such as the Kiva System, have been introduced as an alternative order picking system in recent years. Robots are sent to carry storage units from the inventory and bring them to human operators, who work at picking stations. At the stations, the items are packed according to the customers' orders. This system are proved to increase the productivity two to three times, compared with the classic manual order picking system. Moreover, the search and travel tasks for the pickers are eliminated.
AcronymRMFS
StatusActive
Period01.01.17 → …

Activities

Prizes

Research outputs

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Activities

  1. Orientation workshop on "historical research projects using geographical data and GIS technology" - 2013
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  4. Coding feedback in an online- and video-based learning environment during a field experience
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  6. diffractions and the (un-)making of difference - 2020
  7. Connecting Patterns: Sustainability and the Culture of Complexity
  8. 27th International Conference on System Theory, Control and Computing - ICSTCC 2023
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  18. Tracking, Targeting, Predicting: Epistemological, Ontological and Biopolitical Dimensions of Techno-Security - 2013

Publications

  1. Automated Invoice Processing: Machine Learning-Based Information Extraction for Long Tail Suppliers
  2. On the Functional Controllability Using a Geometric Approach together with a Decoupled MPC for Motion Control in Robotino
  3. Nonlinear PD fault-tolerant control for dynamic positioning of ships with actuator constraints
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  5. Changes in the Complexity of Limb Movements during the First Year of Life across Different Tasks
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  7. Introducing split orders and optimizing operational policies in robotic mobile fulfillment systems
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  11. A Lyapunov based PI controller with an anti-windup scheme for a purification process of potable water
  12. Age effects on controlling tools with sensorimotor transformations
  13. A Study on the Performance of Adaptive Neural Networks for Haze Reduction with a Focus on Precision
  14. Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability
  15. A PHENOMENOGRAPHICAL STUDY OF CHILDRENS’ SPATIAL THOUGHT WHILE USING MAPS IN REAL SPACES
  16. Practice and carryover effects when using small interaction devices
  17. Machine Learning and Knowledge Discovery in Databases
  18. Evaluating structural and compositional canopy characteristics to predict the light-demand signature of the forest understorey in mixed, semi-natural temperate forests
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  23. The relationship between audit committees, external auditors, and internal control systems
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  25. Performance incentives in activity-based management
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