The DOI matches its Crossref record.
Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Energy consumption model and energy efficiency of machine tools: a comprehensive literature review
Zhou, L., Li, J., Li, F., Meng, Q., Li, J., & Xu, X. (2016) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2015.05.093 · Cited by 498
Fog Computing for Energy-Aware Load Balancing and Scheduling in Smart Factory
Wan, J., Chen, B., Wang, S., Xia, M., Li, D., & Liu, C. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2818932 · Cited by 322
Lu, C., Gao, L., Li, X., Pan, Q., & Wang, Q. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.01.011 · Cited by 292
Integrating sustainability into production scheduling in hybrid flow-shop environments
Mokhtari-Moghadam, A., Pourhejazy, P., & Gupta, D. (2023) · Environmental Science and Pollution Research · doi:10.1007/s11356-023-26986-3 · Cited by 18
Adaptive Simulation-Based Optimization for Production Scheduling: A Comparative Study
Quadras, D., Frazzon, E. M., Mendes, L. G., Pires, M. C., & Rodriguez, C. M. T. (2022) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2022.09.430 · Cited by 9
Metadata
- Authors
- Dai, M., Tang, D., Giret, A., Salido, M. A., & Li, W. D.
- Venue
- Robotics and Computer-Integrated Manufacturing
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 29
- Issue
- 5
- Pages
- 418-429
- ISSN
- 0736-5845 (ISSN-L)
- OpenAlex
- W2001612470
- Cited by
- 466
- References
- 0
- FWCI
- 53.93
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm. https://app.cochat.ai/papers/10.1016/j.rcim.2013.04.001
- The paper
- Dai, M., Tang, D., Giret, A., Salido, M. A., & Li, W. D. (2013). Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm. Robotics and Computer-Integrated Manufacturing. https://doi.org/10.1016/j.rcim.2013.04.001
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.
