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Travel time model for multi-deep automated storage and retrieval systems with different storage strategies
Open accessAbstract
Travel time models for automated storage and retrieval systems (AS/RS) are used to define average travel times during storage/retrieval operations in an AS/RS. With an increasing depth of AS/RS racks, storage goods are stored in front of each other. This can lead to relocation operations of blocking goods causing higher travel times. This paper derives analytically and presents four travel time models for multi-deep AS/RS following four storage allocation strategies. Two models handle random strategies, one minimises the variance of storage channel fillings and the fourth maximises this variance. Evaluation and comparison of different models is followed by a discrete event simulation to verify these models. It is shown that the minimal variance strategy achieves the lowest relocation numbers and also the lowest total travel times, the random strategies perform between the minimal and maximal variance strategy.
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References 22 · Cited by 25
Research works printed but not linked: 23
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Metadata
- Authors
- Lehmann, T., & Hußmann, J.
- Affiliations
- Karlsruhe Institute of Technology (DE)
- Corresponding author
- Lehmann, Timo
- ORCID
- Lehmann, Timo
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2022-08-16
- Volume
- 61
- Issue
- 16
- Pages
- 5676-5691
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W4292295444
- Cited by
- 25
- References
- 22
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 8 · 2023: 2
- FWCI
- 1.83
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Journal of Production Research (publishedVersion, cc-by-nc-nd)
- Repository KITopen (Karlsruhe Institute of Technology) (submittedVersion, cc-by-nc-nd)
- RePEc: Research Papers in Economics (submittedVersion)
- KITopen
- Funders
- German Federal Ministry for Economic Affairs and Energy (KK5040302DB0)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Advanced Manufacturing and Logistics Optimization
- Social Sciences › Decision Sciences › Management Science and Operations Research › Supply Chain and Inventory Management
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Scheduling and Optimization Algorithms
- Keywords
- automated storage and retrieval systems, travel time modeling, variance minimization
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