Staff and machine shift scheduling in a German potash mine-Reference-Cited by-同舟云学术

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Staff and machine shift scheduling in a German potash mine

Published:2017-04-29 Issue:6 Volume:20 Page:635-656
ISSN:1094-6136
Container-title:Journal of Scheduling
language:en
Short-container-title:J Sched

Author:

Schulze Marco,Zimmermann Jürgen

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Management Science and Operations Research,General Engineering,Software

Link

http://link.springer.com/article/10.1007/s10951-017-0527-z/fulltext.html

Reference23 articles.

1. Bjørndal, T., Herrero, I., Newman, A., Romero, C., & Weintraub, A. (2012). Operations research in the natural resource industry. International Transactions in Operational Research, 19(1–2), 39–62.

2. Brucker, P., Qu, R., & Burke, E. (2011). Personnel scheduling: Models and complexity. European Journal of Operational Research, 210(3), 467–473.

3. Chesworth, W. (2008). Encyclopedia of soil science. Dordrecht: Springer.

4. Ernst, A. T., Jiang, H., Krishnamoorthy, M., Owens, B., & Sier, D. (2004). An annotated bibliography of personnel scheduling and rostering. Annals of Operations Research, 127(1–4), 21–144.

5. Gamache, M., Grimard, R., & Cohen, P. (2005). A shortest-path algorithm for solving the fleet management problem in underground mines. European Journal of Operational Research, 166(2), 497–506.

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1. Short-term underground mine planning with uncertain activity durations using constraint programming;Journal of Scheduling;2024-04-26

2. Research on underground mine coordinated operation scheduling based on HFSP;2023 International Conference on Electronics and Devices, Computational Science (ICEDCS);2023-09-22

3. A Deviation-Minimization Approach to Short-Term Underground Mine Schedule Optimization;Mining, Metallurgy & Exploration;2023-09-06

4. Real-time multi-agent fleet management strategy for autonomous underground mines vehicles;International Journal of Mining, Reclamation and Environment;2023-08-10

5. Simultaneous lot sizing and scheduling in the animal feed premix industry;Operational Research;2023-05-15

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