Appling Digital Transformation in Intelligent Production Planning of Vietnam’s Garment Industry
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7649-2_10
Reference19 articles.
1. Dang Quoc, H., Nguyen The, L., Nguyen Doan, C., Xiong, N.: Effective evolutionary algorithm for solving the real-resource constrained scheduling problem. J. Adv. Transp. 8897710, 11 (2020). https://doi.org/10.1155/2020/8897710
2. Quoc, H.D., The, L.N., Doan, C.N., Thanh, T.P., Xiong, N.N.: Intelligent Differential Evolution Scheme for Network Resources in IoT. Sci. Program. 8860384, 12 (2020). https://doi.org/10.1155/2020/8860384
3. Myszkowski, P.B., Laszczyk, M.: Investigation of benchmark dataset for many-objective multi-skill resource constrained project scheduling problem. Appl. Soft Comput. 127, 109253 (2022)
4. Myszkowski, P.B., Laszczyk, M., Nikulin, I., Skowro, M.: IMOPSE: a library for bicriteria optimization in multi-skill resource-constrained project scheduling problem. Soft Comput. J. 23, 32397 (2019)
5. Nadkarni, S., Prügl, R.: Digital transformation: a review, synthesis and opportunities for future research. Manag. Rev. Q. 71, 233−341 (2020)
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