The Impact of Proper Order Scheduling on Robotic Transportation System Efficiency
The answer to the dynamic development of e-commerce market is using goods-to-person principle by enterprises increasingly often. Robotic transport systems used in this method create the need to choose a path, number of robots and taking into account order of assigning incoming orders to robots. In literature there are multiple proposals for the mentioned problems, which are evaluated based on path length, travel time through the path, consumed energy, average waiting time for the order execution, number of executed orders and total execution time of given orders by the group of robots.Presenting the impact of incoming orders intensity and the order of assigning them to robots in the picking process is the aim of this article. Additionally, there is constant path finding algorithm and variable number of robots. Order intensity factor understood as time between incoming orders is not taken into account in literature, but it is significant due to gathering orders and limited time of executing them.Results presented in this article are proof that using traditional way of assigning orders, where total number of orders in given amount of time is considered is wrong. It does not include irregular character of incoming orders to the system, which is important factor in e-commerce enterprises.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030446093
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Supplemental Notes:
- © Springer Nature Switzerland AG 2020.
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Authors:
- Dąbrowska, Alicja
- Giel, Robert
- Plewa, Marcin
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Conference:
- 19th International Conference on Reliability and Statistics in Transportation and Communication, RelStat’19
- Location: Riga , Latvia
- Date: 2019-10-16 to 2019-10-19
- Publication Date: 2020-3
Language
- English
Media Info
- Media Type: Web
- Edition: 1
- Features: References;
- Pagination: pp 223-232
- Monograph Title: Reliability and Statistics in Transportation and Communication: Selected Papers from the 19th International Conference on Reliability and Statistics in Transportation and Communication, RelStat’19, 16-19 October 2019, Riga, Latvia
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Serial:
- Lecture Notes in Networks and Systems
- Volume: 117
- Publisher: Springer Cham
- ISSN: 2367-3370
- Serial URL: https://www.springer.com/series/15179
Subject/Index Terms
- TRT Terms: Delivery service; Electronic commerce; Robotics; Scheduling; Supply chain management; Trajectory control
- Subject Areas: Data and Information Technology; Freight Transportation; Vehicles and Equipment;
Filing Info
- Accession Number: 01900132
- Record Type: Publication
- ISBN: 9783030446093
- Files: TRIS
- Created Date: Nov 20 2023 9:12AM