The DOI matches its Crossref record.
Travel-Time Models for Automated Storage/Retrieval Systems
Abstract
Travel-time models are developed for automated storage/retrieval (AS/R) machines. The S/R machine travels simultaneously horizontally and vertically as it moves along a storage aisle. For randomized storage conditions expected travel times are determined for both single and dual command cycles. Alternative input/output (I/O) locations are considered. Additionally, various dwell-point strategies for the storage/retrieval machine are examined.
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Citations
Cited by
A survey of literature on automated storage and retrieval systems
Roodbergen, K. J., & Vis, I. F. A. (2009) · European Journal of Operational Research · doi:10.1016/j.ejor.2008.01.038 · Cited by 664
Meneghetti, A., & Monti, L. (2015) · International Journal of Production Research · doi:10.1080/00207543.2014.985449 · Cited by 165
Design and control of warehouse order picking: A literature review
de Koster, R., Le-Duc, T., & Roodbergen, K. J. (2007) · European Journal of Operational Research · doi:10.1016/j.ejor.2006.07.009 · Cited by 114
Metadata
- Authors
- Bozer, Y. A., & White, J. A.
- Venue
- IIE Transactions
- Publisher
- Informa UK Limited
- Published
- 1984-12
- Volume
- 16
- Issue
- 4
- Pages
- 329-338
- ISSN
- 0740-817X (ISSN-L)
- 1545-8830
- OpenAlex
- W2072249813
- Cited by
- 461
- References
- 0
- FWCI
- 15.10
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Travel-Time Models for Automated Storage/Retrieval Systems. https://app.cochat.ai/papers/10.1080/07408178408975252
- The paper
- Bozer, Y. A., & White, J. A. (1984). Travel-Time Models for Automated Storage/Retrieval Systems. IIE Transactions. https://doi.org/10.1080/07408178408975252
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
