The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Loading and control policies for a flexible manufacturing system
Abstract
An experimental investigation of operating strategies for a computer-controlled flexible manufacturing system is reported. The system is a real one, consisting of nine machines, an inspection station and a centralized queueing area—all interconnected by an automatic material-handling mechanism. The operating strategies considered involve policies for loading (allocating operations and tooling to machines) and real-time flow control. A detailed simulation was employed to test alternatives. The results are different from those of classical job shop scheduling studies, showing the dependence of system performance on the loading and control strategies chosen to operate this flexible manufacturing system. Loading and control methods are defined that significantly improve the system's production rate when compared to methods which were previously applied to the system. Finally, some conclusions are presented concerning the control of these automated systems.
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Cites
Handbook of industrial engineering
(1992) · Choice Reviews Online · doi:10.5860/choice.29-6026 · Cited by 468
Cited by
Artificial intelligence in flexible manufacturing systems
JAIN, P. K., & MOSIER, C. T. (1992) · International Journal of Computer Integrated Manufacturing · doi:10.1080/09511929208944545 · Cited by 12
Metadata
- Authors
- STECKE, K. E., & SOLBERG, J. J.
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 1981-09
- Volume
- 19
- Issue
- 5
- Pages
- 481-490
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W2084065726
- Cited by
- 401
- References
- 1
- FWCI
- 24.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- STECKE, K. E., & SOLBERG, J. J. (1981). Loading and control policies for a flexible manufacturing system. International Journal of Production Research. https://doi.org/10.1080/00207548108956679
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.