18 citations to https://www.mathnet.ru/rus/at14836
  1. S. Weiss, J. A. Schwarz, R. Stolletz, “The buffer allocation problem in production lines: formulations, solution methods, and instances”, IISE Trans., 51:5 (2019), 456–485  crossref  isi  scopus
  2. M. M. Motlagh, P. Azimi, M. Amiri, G. Madraki, “An efficient simulation optimization methodology to solve a multi-objective problem in unreliable unbalanced production lines”, Expert Syst. Appl., 138 (2019), UNSP 112836  crossref  isi  scopus
  3. Zh. Han, Ch. Han, Sh. Lin, X. Dong, H. Shi, “Flexible flow shop scheduling method with public buffer”, Processes, 7:10 (2019), 681  crossref  isi
  4. J. Adan, S. Sneijders, A. Akcay, J. B. F. Adan Ivo, “Re-enactment simulation for buffer size optimization in semiconductor back-end production”, Winter Simulation Conference Proceedings, 2018 Winter Simulation Conference (WSC), IEEE, 2018, 3432–3440  crossref  isi
  5. Alexandre B. Dolgui, Anton V. Eremeev, Mikhail Y. Kovalyov, Vyacheslav S. Sigaev, Communications in Computer and Information Science, 871, Optimization Problems and Their Applications, 2018, 278  crossref
  6. Wadea Ameen, Mohammed AlKahtani, Muneer Khan Mohammed, Osama Abdulhameed, Abdulaziz Mohammed El-Tamimi, “Investigation of the effect of buffer storage capacity and repair rate on production line efficiency”, Journal of King Saud University - Engineering Sciences, 30:3 (2018), 243  crossref
  7. Shuo Lin, Chao Han, Zhonghua Han, Xiaoting Dong, 2018 10th International Conference on Modelling, Identification and Control (ICMIC), 2018, 1  crossref
  8. Ng A.H.C., Shaaban S., Bernedixen J., “Studying Unbalanced Workload and Buffer Allocation of Production Systems Using Multi-Objective Optimisation”, Int. J. Prod. Res., 55:24 (2017), 7435–7451  crossref  isi  scopus
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