Aisle-to-aisle design for SBS/RS under smart deadlock control policies
Loading...

Date
2021
Authors
Ecem Eroğlu Turhanlar
Banu Yetkin Yetkin Ekren
Tone Lerher
Journal Title
Journal ISSN
Volume Title
Publisher
IEOM Society
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
Abstract
Recent increase in e-commerce warehouse operations have become one of the most significant issues. Recent customer profile requests fast delivery time with flexible options in purchasing. Automated warehousing technologies are widely utilized in warehouses to provide fast solutions for those demand profiles. Shuttle-based storage and retrieval system (SBS/RS) is an automated warehousing technology assuring fast transaction process in warehouses. In this work we study a special design for SBS/RS where automated vehicles (i.e. shuttles) are more flexible in their travel pattern so that the system would not require a dedicated shuttle in each tier resulting with decreased number of shuttles compared to a dedicated one (i.e. each zone with a single shuttle) in the system. We compare these two system designs flexible and dedicated ones by using an agent-based simulation modelling approach. The proposed flexible design is developed on deadlock and collision prevention algorithms evaluating real time information. The performance of the system is compared by their average flow time per transaction maximum flow time of a transaction throughput rate and utilization of shuttles etc. The results show that by integrating smart collision and deadlock prevention algorithms the proposed flexible aisle-to-aisle SBS/RS works better than the dedicated system design. © 2021 Elsevier B.V. All rights reserved.
Description
Keywords
Agent-based Simulation, Aisle-to-aisle Sbs/rs, Deadlock Prevention, Shuttle-based Storage And Retrieval System (sbs/rs) And Flexibility, Aisle-to-Aisle SBS/RS, Agent-Based Simulation, Deadlock Prevention, Shuttle-Based Storage and Retrieval System (SBS/RS) and Flexibility
Fields of Science
Citation
WoS Q
Scopus Q
Source
11th Annual International Conference on Industrial Engineering and Operations Management IEOM 2021
Volume
Issue
Start Page
3182
End Page
3193
