How to cite this paper
Lim, S. (2020). Sequential batching with minimum quantity commitment in N-level non-exclusive agglomerative hierarchical clustering structures.International Journal of Industrial Engineering Computations , 11(3), 317-340.
Refrences
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Arifin, A. Z., & Asano, A. (2006). Image segmentation by histogram thresholding using hierarchical cluster analysis. Pattern Recognition Letters, 27(3), 1515-1521.
Bang, J., Kim, Y., & Choi, S. (2012). Multiproduct lot merging-splitting algorithms for semiconductor wafer fabrication. IEEE Transactions on Semiconductor Manufacturing, 25(2), 200-210.
Bang, J., Lim, S., & Kim, J. (2016). Multi-dimensional dynamic programming algorithm for input lot formation in a semiconductor wafer fabrication facility (in Korean). Journal of the Society of Korea Industrial and Systems Engineering, 39(1), 73-80.
Bouguettaya, A., Yu, Q., Zhou, X., & Song, A. (2015). Efficient agglomerative hierarchical clustering. Expert Systems with Applications, 42(5), 2785-2797.
Cameron, D.A., Middleton, F.A., Chenn, A., & Olson, E.C. (2012). Hierarchical clustering of gene expression patterns in the Eomes + lineage of excitatory neurons during early neocortical development. BMC Neuroscience, 13, 90.
Chen, H., Du, B., & Huang, G.Q. (2011). Scheduling a batch processing machine with non-identical job sizes: a clustering perspective. International Journal of Production Research, 49(19), 5755-5778.
Cheng, L., Connor, T.R., Siren, J., Aanensen, D.M., & Corander, J. (2013). Hierarchical and spatially explicit clustering of DNA sequences with BAPS software. Molecular Biology and Evolution, 30(5), 1224-1228.
Comert, E.C., Yazgan, H.R., Kir, S., & Yener, F. (2018). A cluster first-route second approach for a capacitated vehicle routing problem: a case study. International Journal of Procurement Management, 11(4), 399-419.
Coral, D.B., Santos, M.O., & Toledo, C.F.M. (2017). Clustering-based crossover in an evolutionary algorithm for the vehicle routing problem with time windows. Proceeding of IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), 830-837.
Costa, G., Manco, G., Ortale, R., & Ritacco, E. (2013). Hierarchical clustering of XML documents focused on structural components. Data & Knowledge Engineering, 84, 26-46.
Delgoshaei, A., Delgoshaei, A., & Ali, A. (2019). Evolution of clustering techniques in designing cellular manufacturing systems: A state-of-art review. International Journal of Industrial Engineering Computations, 10(2), 177-198.
Han, X., Yu, Y., & Hu, G. (2019). A dynamic newsvendor problem with goodwill-dependent demands and minimum commitment. Omega, 89, 242-256.
Hintsch, T., & Irnich, S. (2020). Exact solution of the soft-clustered vehicle-routing problem. European Journal of Operational Research, 280(1), 164-178.
Huang, H., & Ma, Y. (2019). A hybrid clustering approach for bag-of-words image categorization. Mathematical Problems in Engineering, 2019, Article ID 4275720.
Jun, C., Lee, J., & Lee, Y. (2010). A Biclustering Method for Time Series Analysis. Industrial Engineering and Management Systems, 9(2), 131-140.
Kim, J., & Lim, S. (2012). Order-lot pegging for minimizing total tardiness in semiconductor wafer fabrication process. Journal of the Operational Research Society, 63, 1258-1270.
Langfelder, P., Zhang, B., & Horvath, S. (2008). Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R. Bioinformatics, 24(5), 719-720.
Lim, A., & Xu, Z. (2006). The bottleneck problem with minimum quantity commitments. Naval Research Logistics, 53(1), 91–100.
Lim, S., Kim, J., & Kim, H. (2014). Simultaneous order-lot pegging and wafer release planning for semiconductor wafer fabrication facilities. International Journal of Production Research, 52(12), 3710-3724.
Lim, S., Kim, J., & Shin, Y. (2015). Optimal three-level presort loading of commercial bulk mail in the postal service industry. Journal of the Operational Research Society, 66(6), 1007-1022.
Lim, S., Bang, J., & Kim, J. (2017). Multi-dimensional dynamic programming algorithm for
Arifin, A. Z., & Asano, A. (2006). Image segmentation by histogram thresholding using hierarchical cluster analysis. Pattern Recognition Letters, 27(3), 1515-1521.
Bang, J., Kim, Y., & Choi, S. (2012). Multiproduct lot merging-splitting algorithms for semiconductor wafer fabrication. IEEE Transactions on Semiconductor Manufacturing, 25(2), 200-210.
Bang, J., Lim, S., & Kim, J. (2016). Multi-dimensional dynamic programming algorithm for input lot formation in a semiconductor wafer fabrication facility (in Korean). Journal of the Society of Korea Industrial and Systems Engineering, 39(1), 73-80.
Bouguettaya, A., Yu, Q., Zhou, X., & Song, A. (2015). Efficient agglomerative hierarchical clustering. Expert Systems with Applications, 42(5), 2785-2797.
Cameron, D.A., Middleton, F.A., Chenn, A., & Olson, E.C. (2012). Hierarchical clustering of gene expression patterns in the Eomes + lineage of excitatory neurons during early neocortical development. BMC Neuroscience, 13, 90.
Chen, H., Du, B., & Huang, G.Q. (2011). Scheduling a batch processing machine with non-identical job sizes: a clustering perspective. International Journal of Production Research, 49(19), 5755-5778.
Cheng, L., Connor, T.R., Siren, J., Aanensen, D.M., & Corander, J. (2013). Hierarchical and spatially explicit clustering of DNA sequences with BAPS software. Molecular Biology and Evolution, 30(5), 1224-1228.
Comert, E.C., Yazgan, H.R., Kir, S., & Yener, F. (2018). A cluster first-route second approach for a capacitated vehicle routing problem: a case study. International Journal of Procurement Management, 11(4), 399-419.
Coral, D.B., Santos, M.O., & Toledo, C.F.M. (2017). Clustering-based crossover in an evolutionary algorithm for the vehicle routing problem with time windows. Proceeding of IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), 830-837.
Costa, G., Manco, G., Ortale, R., & Ritacco, E. (2013). Hierarchical clustering of XML documents focused on structural components. Data & Knowledge Engineering, 84, 26-46.
Delgoshaei, A., Delgoshaei, A., & Ali, A. (2019). Evolution of clustering techniques in designing cellular manufacturing systems: A state-of-art review. International Journal of Industrial Engineering Computations, 10(2), 177-198.
Han, X., Yu, Y., & Hu, G. (2019). A dynamic newsvendor problem with goodwill-dependent demands and minimum commitment. Omega, 89, 242-256.
Hintsch, T., & Irnich, S. (2020). Exact solution of the soft-clustered vehicle-routing problem. European Journal of Operational Research, 280(1), 164-178.
Huang, H., & Ma, Y. (2019). A hybrid clustering approach for bag-of-words image categorization. Mathematical Problems in Engineering, 2019, Article ID 4275720.
Jun, C., Lee, J., & Lee, Y. (2010). A Biclustering Method for Time Series Analysis. Industrial Engineering and Management Systems, 9(2), 131-140.
Kim, J., & Lim, S. (2012). Order-lot pegging for minimizing total tardiness in semiconductor wafer fabrication process. Journal of the Operational Research Society, 63, 1258-1270.
Langfelder, P., Zhang, B., & Horvath, S. (2008). Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R. Bioinformatics, 24(5), 719-720.
Lim, A., & Xu, Z. (2006). The bottleneck problem with minimum quantity commitments. Naval Research Logistics, 53(1), 91–100.
Lim, S., Kim, J., & Kim, H. (2014). Simultaneous order-lot pegging and wafer release planning for semiconductor wafer fabrication facilities. International Journal of Production Research, 52(12), 3710-3724.
Lim, S., Kim, J., & Shin, Y. (2015). Optimal three-level presort loading of commercial bulk mail in the postal service industry. Journal of the Operational Research Society, 66(6), 1007-1022.
Lim, S., Bang, J., & Kim, J. (2017). Multi-dimensional dynamic programming algorithm for