A note: maximizing the weighted number of Just-in-Time jobs for a given job sequence
Author:
Funder
Israel Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Management Science and Operations Research,General Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10951-022-00772-4.pdf
Reference22 articles.
1. Chen, R. X., Li, S. S., & Li, W. J. (2019). Multi-agent scheduling in a no-wait flow shop system to maximize the weighted number of just-in-time jobs. Engineering Optimization, 51(2), 217–230.
2. Choi, B. C., & Yoon, S. H. (2007). Maximizing the weighted number of just-in-time jobs in flow shop scheduling. Journal of Scheduling, 10(4), 237–243.
3. Elalouf, A., Levner, E., & Tang, H. (2013). An improved FPTAS for maximizing the weighted number of just-in-time jobs in a two-machine flow shop problem. Journal of Scheduling, 16(4), 429–435.
4. Fry, T., Armstrong, R. D., & Rosen, L. D. (1990). Single machine scheduling to minimize mean absolute lateness: A heuristic solution. Computers & Operations Research, 17, 105–112.
5. Fry, T. D., Armstrong, R. D., & Blackstone, J. H. (1987). Minimizing weighted absolute deviation in single machine scheduling. IIE Transactions, 19, 445–450.
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