A comparative analysis of meta-heuristic methods on disassembly line balancing problem with stochastic time
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-022-04910-1.pdf
Reference57 articles.
1. Ağpak, K., & Gökçen, H. (2007). A chance-constrained approach to stochastic line balancing problem. European Journal of Operational Research, 180(3), 098–1115.
2. Agrawal, S., & Tiwari, M. K. (2008). A collaborative ant colony algorithm to stochastic mixed-model U-shaped disassembly line balancing and sequencing problem. International Journal of Production Research, 46(6), 1405–1429.
3. Altekin, F. T. (2016). A piecewise linear model for stochastic disassembly line balancing. IFAC-Papers on Line, 49(12), 932–937.
4. Altekin, F. T., & Akkan, C. (2012). Task-failure-driven rebalancing of disassembly lines. International Journal of Production Research, 50(18), 4955–4976.
5. Altekin, F. T., Bayındır, Z. P., & Gümüşkaya, V. (2016). Remedial actions for disassembly lines with stochastic task times. Computers and Industrial Engineering, 99, 78–96.
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