On the robustness of joint production and maintenance scheduling in presence of uncertainties
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
http://link.springer.com/content/pdf/10.1007/s10845-017-1303-9.pdf
Reference102 articles.
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2. Alfieri, A., Tolio, T., & Urgo, M. (2012). Robust and stable flow shop scheduling with unexpected arrivals of new jobs and uncertain processing times. The International Journal of Advanced Manufacturing Technology, 62, 279–290.
3. Allaoui, H., & Artiba, A. (2004). Integrating simulation and optimization to schedule a hybrid flow shop with maintenance constraints. Computers & Industrial Engineering, 47(4), 431–450.
4. Balaprakash, P., Birattari, M., & Stützle, T. (2007). Improvement strategies for the f-race algorithm: Sampling design and iterative refinement. In International workshop on hybrid metaheuristics, (pp. 108–122). Springer.
5. Behnamian, J., & Ghomi, S. F. (2013). The heterogeneous multi-factory production network scheduling with adaptive communication policy and parallel machine. Information Sciences, 219, 181–196.
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