Author:
Nagata Daiki,Kaihara Toshiya,Kokuryo Daisuke,Umeda Toyohiro,Mizuhara Houei
Publisher
Springer Nature Switzerland
Reference11 articles.
1. Kanagachidambaresan, G.R., Anand, R., Balasubramanian, E., Mahima, V.: Internet of Things for Industry 4.0 Design, Challenges and Solutions. EAI/Springer Innovations in Communication and Computing (2020)
2. Daniel Alejandro, R., Fernando, T., Mariano, F.: A data-driven scheduling approach to smart manufacturing. J. Ind. Inf. Integr. 15, 69–79 (2019)
3. Ministry of internal affairs and communications.: WHITE PAPER information and communications, Part 1, Chapter 2, Section 4 (2020). https://www.soumu.go.jp/johotsusintokei/whitepaper/ja/r02/pdf/n2400000.pdf
4. Marichevam, M.K., Geetha, M., Tosun, Ö.: An improved particle swarm optimization algorithm to solve hybrid flowshop scheduling problems with the effect of human factors – a case study. Comput. Oper. Res. 114, 104812 (2020)
5. Shahrul, K., Khan, Z.A., Noor Siddiquee, A., Wong, Y.S.: The impact of variety of orders and different number of workers on production scheduling performance: a simulation approach. J. Manuf. Technol. Manag. 24(8), 1123–1142 (2013)